Best Free Business Analytics & Intelligence Courses

Find the best online Free Business Analytics & Intelligence Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings.

Learn Power BI Basics for Free

In this tutorial you will be learning all basic knowledge required for Power BI and understanding Power BI component

Created by Vishal Pawar - Microsoft MVP Data Platform, Solution Architect


Students: 93846, Price: Free

Learn Power BI Basics for Free !

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further.

Let us help you bring your data to life !

Looking for new ways to find and visualize data and to share your discoveries? Power BI can help. This collection of tools, online services and features from Microsoft transforms your company's data into rich visuals for you to collect and organize, so you can spot trends, collaborate in new ways, and make sense of your data.

This video tutorial contains following chapter decks

  1. Introduction to Course
  2. Introduction to Power BI and all Its Components
  3. How to download and installation Component of Power BI
  4. Power BI Desktop
  5. Power BI Service Online.
  6. Power BI Gateways
  7. PowerPivot
  8. PowerQuery
  9. PowerView
  10. PowerMap
  11. Power BI - Q&A
  12. Power BI Mashup
  13. What a next!

Ten Excel Features Every Analyst Should Know

A collections of tools that should be in every analysts toolbox

Created by John MacDougall - Microsoft Excel MVP


Students: 69241, Price: Free

In this course we will learn about some awesome Excel features and how to use them with some examples commonly encountered by every analyst. 

  1. Text to Column
  2. Flash Fill
  3. Recording a Macro
  4. Grouping Sheet
  5. Deleting Blank Rows
  6. Remove Duplicate Data
  7. Auto Sum
  8. Filling a Range with Ctrl + Enter
  9. 3D Sums
  10. Advanced Filters

Bonus: Conditional Formatting

These tools should be in every analysts toolbox and will save you a lot of time and effort if you know how to use them should the need arise.

Master Data Management

Learn about the basics of Master Data Management within organizations

Created by Adastra Academy - Emerging Data Management and Analytics Technology Educators


Students: 31878, Price: Free

This introductory level course provides students with a high level understanding of Master Data Management. Master Data refers to having a single copy of a data record for an organization to ensure that the proper data quality measures are in place. Master data also ensures consistency of reporting across all multiple lines of business within an organization.

This course highlights key Master Data Management concepts, methodologies, and processes including definitions, examples, common master data challenges, architecture considerations, types of master data projects, the data mastering process, and matching and merging techniques. The course also touches on best practices of master data storage within a repository structure.

The main items explained in this course include:

  • What are the main concepts of Master Data
  • What are the main concepts of Master Data Management
  • What are the Master Data Management challenges within organizations
  • What are the main Master Data Management architectures

Fundamentals Data Analysis & Decision Making Models – Theory

Master handling Big Data, Analysis and presenting interactive DashBoards. Forecasting and

Created by Manish Gupta - Hospitality Finance Expert and Business Strategist


Students: 25482, Price: Free

 Do you want to understand how big data is analysed and how decisions are made based on big data.

In this course we will be covering the various steps involved in data analysis in brief, Objective of this course to make you familiar with these steps and collect your feedbacks and questions.

I will then use those feedback and questions to make the detailed course better and relevant for you.

Google Sheets: Pivot Tables + Data Insights For Beginners!

Learn to explore data & uncover insights with Google Sheets pivot tables! Course taught by fmr Google Analytical Lead.

Created by Brian Moore - data analytics to inform business decisions


Students: 20799, Price: Free

  • Do you have data in Google Sheets and not sure how to make it useful? Then this course is for you!

  • Do you want to get on the path to being Data-Savvy? Then this course is for you!

  • Do you want to grow your Google Sheets data skills? Then this course is for you!

This course has been *designed by a former Google Analytical Lead* so that you can get comfortable going from rows and columns of data in a Google Sheet to useful insights via pivot tables.

This course includes numerous hands-on examples and practice exercises that will get you feeling data-savvy.

As a bonus, practice exercises and lecture examples are included in a spreadsheet that you can keep as part of the course.

This course is broken out into 8 key sections:

  • Section 1: Introduction (what are pivot tables and how they are used in the real-world to surface data insights)

  • Section 2: An Overview of the Data Insights Pivot Table Process

  • Section 3: Applying the Data Insights Pivot Table Process

  • Section 4: Practice Exercises: Set 1 (Titanic Dataset)

  • Section 5: Solution Videos for Practice Exercises: Set 1 (Titanic Dataset)

  • Section 6: Practice Exercises: Set 2 (Red Wine Dataset)

  • Section 7: Solution Videos for Practice Exercises: Set 2 (Red Wine Dataset)

  • Section 8: Course Wrap + Bonus Content

The content has intentionally been curated for practitioners who want to apply learnings right away.

This is NOT a long drawn out course that goes deep in the weeds on academic theory.

Make the transition from decisions based on gut feel to data informed decision making!

Use this efficiently designed course to level up your data skills. Get started today! 


Modern Data Visualization with Oracle Analytics Cloud

Augmented Analytics and Machine Learning based Data Visualization. Includes Business Use Cases, Exercises and Quizzes!

Created by Luis E. Rivas - Director of Product Management, Oracle Analytics Cloud


Students: 19360, Price: Free

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will master your understanding of modern, aka Augmented, data visualization concepts through hands on training with Oracle Analytics Cloud. This course is designed to provide you with essentials of augmented data visualization. This is new business intelligence!

Are you a business analyst curious about what Oracle Analytics can do? Then this is the course for you. We’re assuming that you know the basics of using analytics in your business. So we designed this course for you to jump right in to a technical, hands-on product experience. Every section is packed with both video and screencast to show you each analytics capability, plus demo files and scripts to download, so you can try it yourself!

Since we can’t guess which use case you’re itching to try out, we’ve packed the course with different projects like sales analysis, school donation analysis, HR attrition analysis as well as advanced projects such as Machine Learning models for predictive Analysis. Curious about some other application for analytics? Try it with your own data too!

As a day-to-day analyst and data visualization user, you will find this course fun and informative, try it out with your own data set! We hope that you have great time learning this exciting new data visualization capabilities.

Analytically Yours,
Your Instructors

Data Scientist Certification Guide For Career Transition

A step-by-step guide by Analytics leaders with Fortune 100 experience. On completion, get a FREE 1-on-1 session with me.

Created by Piyanka Jain - Analytics Professional and Bestseller Author


Students: 17952, Price: Free

Are you analytical in nature? Are you a problem solver? Does the “why” behind things intrigue you? Then analytics might be your true passion.This course will help you evaluate whether this career is right for you and if so, how you can transition into a Data Science career with ease, without making any mistakes. The course will also cover the top 10 Business questions you should be able to solve on the first day of your job.

This course also introduces you to a powerful data to decisions framework called "BADIR" which is the framework of choice for Fortune 100 companies for better impact.

In the end, you will get a no strings attached $250 free gift.

Note: This course is a precursor to our complete Career Transition paid program. If you like our approach to analytics career transition and how we have helped thousands of professionals become successful data scientist, we would welcome you to join our complete career transition program. The free gift is not attached to the paid course and you can use it any time you wish.

Introduction to Data Analysis for Government

Get started on your journey to become a government data analysis rockstar.

Created by Socrata Data Academy - Teaching program leaders and government information workers how to analyze data and proficiently use modern data analysis technologies


Students: 16860, Price: Free

Data has exploded in the last few years, but educational resources for government information workers to take advantage of that data to improve program outcomes haven't kept up. This first course in the series Fundamentals of Data Analysis for Government focuses on the key components of setting up and executing a data analysis project.

What You'll Learn in this Course

  • How to frame a data analysis project
  • The power of simple descriptive statistics to guide decision making
  • Examples of data being effectively used in the public sector
  • Methods to download, evaluate, clean, and analyze data using Excel
  • How you can be influenced by biases, and can unintentionally introduce them into your analysis
  • The difference between structured, machine-readable data and unstructured, human-readable data

Contents and Overview

This course is ideal for government employees who have a strong qualitative understanding of their work but have yet to master the quantitative skills needed to leverage data in their day-to-day responsibilities. Through ~25 lectures and ~2 hours worth of content, you'll learn all of the fundamentals of government data analysis and establish a strong understanding of the concepts behind using data. Each chapter contains proficiency quizzes and hands-on exercises to practice while you're learning.

Starting with a high-level overview of a data analysis project framework, this course will take you through identifying the actual problem to solve, exploring and defining a conceptual model around the problem, analyzing data to support or reject that model, then communicating insights found from the data analysis to address the problem at hand. Students will see all steps of the framework completed through the lens of a real-world data project done in the City of New Orleans.

Students completing the course will have the knowledge to analyze data and utilize it to improve government program delivery.

With these basics mastered, students are able to continue their learning through the Socrata Data Academy courses online.

Baseball Database Queries with SQL and dplyr

Explaining the relationship between SQL and dplyr with baseball examples.

Created by Charles Redmond - Professor at Mercyhurst University


Students: 16785, Price: Free

In this course, we explain the relationship between SQL and the R package dplyr. I will show you how to query a baseball database with SQL in Microsoft Access and then show you how to do exactly the same thing with dplyr in R. We will begin with simple queries, progress to aggregation and grouping, and finish with queries involving joins. By the end of the course, you should be able to use dplyr to explore your own data sets.

At a relaxed pace, it should take about three weeks to complete the course. The course is for beginners in SQL, R, and dplyr. You also do not have to understand very much about baseball. We will be using the Lahman Baseball Database, R, dplyr, and Microsoft Access. I will show you how to install everything.

SQL for Data Analysis: Solving real-world problems with data

A simple & concise mySQL course (applicable to any SQL), perfect for data analysis, data science, business intelligence.

Created by Max SQL - Data and Insights Manager


Students: 16662, Price: Free

Note on the Short Version of the Course

I have launched the course as a free, shortened version. It is an excellent introduction to the basics of handling data. Two points I want you to know:

1. The course so far is an in-depth view on a small & important part of SQL, rather than a light-touch overview of everything.

2. Technically, the full paid version is on the way. But I am finding it very difficult to find the time to complete the lessons (between other projects and work).

Therefore for those who need a comprehensive course now, I'd suggest signing up to a couple of courses now including this one while it's free. That way you can learn now but also enjoy all the additional lessons for free when they arrive.

Note on the Communicating

Udemy prevents instructors of Free courses from answering any questions from students. Therefore for now I cannot provide any feedback or respond to comments.


Forget the dry, old, textbook approach to learning code. Forget endlessly drilling syntax.

This course puts SQL in context and gets you solving real-world business problems from Day 1.

You'll play the role of a data analyst at Australia's largest fictional consumer bank, with a uniquely rich relational database at your fingertips. This context brings SQL to life and makes it easier for you to understand deeply and quickly.

With this new approach, you'll be surprised to see that SQL is fun and simple to learn. My course guarantee is that you'll go from zero to functional SQL coder within the weekend.

Best features in a nutshell

  • In plain English, with business context and fun analogies to explain the otherwise dry syntax.

  • Unique database, using a fictional bank relational database with incredibly rich transaction data to keep the course interesting and relevant.

  • Focuses deep on the absolute basics, to get you the strong foundations required for a data career.

  • Doesn’t cost money! If you sign up now while it’s free, you have lifetime free access, even as the course grows and becomes paid.

Read on for more detail

My story and building the course

My SQL learning experience was not ideal. When I started work I hadn’t the slightest idea what data was, let alone the power it brings to those who wield it skillfully. I took probably a year longer than necessary to master the SQL for data analytics. Even though I was practicing everyday on the job, I was slow to understand new concepts and struggled to remember new syntax.

Now as a full-time data analytics and insights manager, I have the hindsight to know it should have been much easier.

The main ingredients missing for me were:

  1. Structure

    1. What is important, what isn't, and why.

  2. Context

    1. Analogies, interesting examples, and plain English explanations. Bringing it to life!

So I’ve taken what was lacking in my learning experience and build a course around it. Specifically, here’s why my course stands out:

  • Structured

    • We learn what you need for on the job data analysis using SQL, no more less.

    • The topics are covered in an order that makes sense and helps you build on past learning.

    • You understand why each lesson is important, where it sits in the grand scheme of SQL.

  • In context

    • SQL shouldn’t have to be dry or boring, so I have used realistic business problems and analogies.

    • You’ll be playing the role of a data analyst at the largest fictional company in Australia, the Royal Bank of Australia, solving problems to drive sales, improve marketing reach, and manage customers.

    • Knowing why you’re learning the syntax, you’ll learn faster.

  • Hands on/practical

    • You’ll practice writing SQL in every single lesson.

We are going to have fun too, investigating cryptocurrency trading among customers, and even learning about Australian animals!

Why learn SQL?

Most successful companies today are data-driven.

  • They record every bit of information about their business (e.g. customers, sales).

  • They store that information (called data) in complex databases.

  • And they draw insights from the data to improve their business.

That’s where SQL comes in.

The only way to gather data and transform it into valuable business insights is to combine SQL and a smart analyst like you.

It's with SQL that companies know answers all sorts of where do my customers prefer to shop? Who was incorrectly charged fees? Why are sales going down?)

And as you may have noticed in the Promo, SQL is a great skill to build your career

Data careers, in data analysis (business analysis), data science, & data visualisation (business intelligence).

  1. SQL is needed to actually find and handle data in most organisations.

  2. The data handling and management skills learned via SQL are fundamental to understanding data in general, and are useful even if you don't use the SQL language (rare).

  3. Access to data can make you powerful in organisations. It's hard to argue with an analyst armed with well-prepped data and a solid numbers-based argument.

Marketing, product management, and tech sales:

  1. SQL (and the accompanying data skills) are a great way to stand out in marketing and product.

  2. Marketers and product managers propose changes to improve the business.

  3. Nowadays, any proposed change needs a strong case to support it.

  4. Data is the foundation of any strong business case.

  5. Therefore marketers and product managers with data skills can put together stronger cases, get more initiatives approved, and grow their career faster.

Why start with mySQL? mySQL is:

  • Very common, used by major companies and organisations across the world, such as Uber, Netflix, Spotify, and JPMorgan.

  • Free and easy to set up.

  • Similar to other forms of SQL like Microsoft SQL Server, PostGre SQL, Oracle SQL, Teradata SQL.

Become a Stronger and More Productive Business Analyst

Sharpening your business analysis skill set to produce high quality deliverables quickly and efficiently.

Created by Angelo Kalevela - Certified Business Analyst


Students: 16451, Price: Free

A study done by IAG, has shown that only about half of major projects with average level business analysts succeed (56% to be exact). That number increases to 88% when skilled or above average business analysts are involved. Being average is not enough to get the job done anymore.

This course gives techniques and practice drills to help gain the most essential skills to quickly be an above average business analyst. Our goal isn't to develop every skill a business analyst should have; instead, I am to give you the most productive skills and the ability to use them in days instead of decades.

The purpose of this course is NOT to explain or walk you through all the different parts of what being a business analyst is. The purpose of this course is to give you skills that you can learn and use today that will make you a better business analyst tomorrow.

Note: When I say tomorrow, I do not mean next month or next year. I mean the day after today.

Understanding Data Quality and Reference Data Management

This course provides a high level overview of Reference Data Management and Data Quality Management concepts

Created by Adastra Academy - Emerging Data Management and Analytics Technology Educators


Students: 15808, Price: Free

The Data Management overview course is a free, high-level course that covers two challenging data related issues that face organizations in the modern day:

  • Reference Data Management
  • Data Quality Management.

The Reference Data Management overview highlights the key principles and processes for effective reference data management within organizations. The lectures cover Reference Data and Reference Data Management components in order to provide an overall understanding of key concepts and terminologies. The course also provides insight on Reference Data challenges, benefits of a Reference Data Management solution, best practices in implementation, and typical solution architecture.

The Data Quality Management overview provides an overall understanding of key Data Quality Management concepts, methodologies and terminologies including profiling, data quality metrics, and stewardship responsibilities. Upon completion of this course, students will gain insights into key data quality activities such as, parsing, validation, standardization, cleansing, enrichment, scoring, measurement, and exception management.

Augmented Data Visualization with Machine Learning

Automated Analytics from Oracle Analytics Cloud and Machine Learning with Data Visualizations! Hands-on with Quizzes!

Created by Subrata Dutta - EPM and Analytics Enthusiast


Students: 14977, Price: Free

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will work on machine learning models for predictive analytics and advanced data flow features through hands on training with Oracle Analytics. This course is designed to provide you with many hands-on activities to learn building modern data visualization projects. This is new business intelligence!

Are you a business analyst curious about what Oracle Analytics can do? Then this is the course for you. We’re assuming that you know the basics of using analytics in your business. So we designed this course for you to jump right in to a technical, hands-on product experience. Every section is packed with both video and screencast to show you each analytics capability, plus demo files and scripts to download, so you can try it yourself!

Since we can’t guess which use case you’re itching to try out, we’ve packed the course with different projects like sales analysis, school donation analysis, HR attrition analysis as well as advanced projects such as Machine Learning models for Predictive Analysis. Curious about some other application for analytics? Try it with your own data too!

As a day-to-day analyst and data visualization user, you will find this course fun and informative, try it out with your own data set! We hope that you have great time learning this exciting new data visualization capabilities.

Analytically Yours,
Your Instructors

Batting Location Charts with Vagrant and MySQL

Use R and MySQL together to create batting location charts from large data sets.

Created by Charles Redmond - Professor at Mercyhurst University


Students: 14589, Price: Free

This course is about working with large sets of PITCHf/x data to create batting location charts. We use R to scrape and visualize the data and MySQL to store the data. The course includes lessons on how to install a virtual Ubuntu machine, how to install MySQL, how to perform basic MySQL administrative tasks, and how to connect R and MySQL.

It would be best if you have some knowledge of R and ggplot. This can be obtained through my previous three courses in baseball analytics. However, it might be possible to follow along without this.

At a relaxed pace, the course should take about two weeks to complete.

Introduction – Salesforce CPQ

Learn Salesforce CPQ for FREE!

Created by Hirday Lamba - Salesforce Certified Architect


Students: 13810, Price: Free

This course covers the fundamentals that are necessary for users to begin leveraging their quoting process using Salesforce platform.  It will take over an hour to complete, and will enable users to successfully begin executing CPQ by learning pricing methods, CPQ object data model, technical configuration of discounting, output documents. 

Data Visualization with Excel – Crash Course

Learn Excel for Business. Learn the most useful features of excel to develop dynamic business dashboards and Graphs.

Created by Mobeen Ayub - MBA, Entrepreneur, BI enthusiast, Leadership Trainer


Students: 13273, Price: Free

1. Learn to create a database and some excel formulas and shortcuts common for people in Universities and Corporate roles.

2. Learn to create different metrics and KPI's (Key Performance Indicators) from the main database in the form of Pivot Tables which update automatically when you update data in the main table.

3. Learn to visualize data in the database in the form of different charts which automatically update when you update the data in the table.

Planning for Data Collection

Learn about different concepts, tools and tips to consider while collecting data in the field!

Created by SocialCops Academy - Using Data Intelligence for Better Decisions


Students: 13114, Price: Free

Master the basic concepts, tools and tips you need to create a stellar data collection plan for your organization in this course. Learn how mobile-based data collection can help you save time, reduce costs and optimize resources in your next data collection exercise. 

Reviews by professionals who collect data regularly:

  • This course provides great information on preparing for field data collection. I would strongly recommend it to anyone who collect data or is involved in planning for data collection.” Wahdat Adil, Monitoring and Evaluation Officer at ChildFund International
  • "Clear, direct and easy to understand - this course is excellent! The use of real-life examples, case studies and video recaps made learning a breeze."
    - Ronald Wanyama, Livelihood Coordinator at The Lutheran World Federation
  • "This course is really useful! It helped me revisit the nuances of data collection and strengthened my experience on the subject."- Ashutosh Sundaram, Partner at Augmented Understanding

Build a robust data collection plan to which helps you capture data about your program, monitor its performance and measure its impact!

  • Understand what data you need to collect
  • Measure the cost of your data collection exercise
  • Learn about the benefits of mobile-based data collection
  • Choose between different mobile-based data collection tools
  • Evaluate budgetary, technology and logistical factors for data collection

Learn how mobile-based data collection leads to better, richer and more accurate data!

By understanding the fundamentals of data collection, such as distinguishing between the information which is needed, the information which is available and the information which is useful, you can create an effective strategy to capture the exact data point you need for administering a baseline survey, conducting a market research study, implementing development initiatives or getting feedback about your services. 

With mobile-based data collection, you can capture data in various shapes and formats, such as audio, video, photo, geolocations, etc. Automatic database collation and real-time flagging reduces data entry and data loss errors, while increasing the quality and reliability of your data.  

Content and Overview 

Suitable for independent researchers, field managers and program officers in nonprofits, philanthropies, governments and business organizations, this online course — with the help of video based lectures, exhaustive reading resources and real-life examples from the field — will introduce you to the basics of building a data collection plan by thinking critically about the following:

  • What data and information should I collect?
  • What data collection tools should I use?

These basics will cover the different kind of data points you will need, such as identifiers and subject-related information, followed by an understanding of how easy or difficult it will be to capture certain kinds of data and how to judge the utility of the information captured. 

We will then move on to learning about the opportunities and benefits offered by mobile-based data collection as compared to paper-based data collection, such as better speed, higher accuracy, lower costs and lesser resources. This will be followed by diving deep into the different mobile-based data collection technologies, such as Interactive Voice Response System (IVRS), SMS or interactive SMS (iSMS) and smartphone based data collection apps, and evaluate the different advantages and disadvantages of each technology. 

The last section will talk about the different considerations to keep in mind while collecting data, such as the budgetary costs, technology factors and logistics around data collection. We will also learn about things to keep in mind while choosing a data partner to aid and assist in your data collection efforts. 

About SocialCops

SocialCops is a data intelligence company. Our platform brings the entire decision-making process to one place — from collecting primary data, accessing secondary data, and merging internal data to visualizing data via easy-to-use dashboards. Our data intelligence platform has powered the collection of over 250 million primary data points and aggregated over 600 data sources. 

Our platform has been used in various settings. For example, we work with India's Ministry of Petroleum and Natural Gas to track 50 million beneficiaries and pinpoint the exact locations for 1,0000 new LPG centers across India that will maximize profitability and impact. We also work to optimize strategic investments with Gates Foundation and Unilever, and handle real-time monitoring and tracking by Niti Aayog, BASF, World Bank, and others. 

Getting Familiar with Minitab

Managing Data in a Worksheet with Minitab

Created by László Csanaki - Professor of Applied Statistics


Students: 11533, Price: Free

Get familiar with the tools, functioning and use of the Minitab statistical software package that you will need to analyze big data and make decisions about problems arising in business, production or engineering.

Get the skills of manipulating data in a worksheet when you are analyzing data.

  • Summarizing data in rows of a worksheet or data of variables in columns using numerical descriptive statistics.
  • Coding your data to different types.
  • Ranking and sorting your data.
  • Creating subsets of your data.
  • Combining or separating your data.

Animated video lessons about the process of manipulating data to prepare yourself to start learning the statistical methods of data analysis.

The video lessons give step-by step instructions you to select the appropriate menu commands or to write session window commands for specific problems. Screen animations highlight the important details of a session or draw your attention to the "tricks" applied. You can turn on subtitles to help follow the instrucions and explanations. Sample data of Minitab are used for demonstration so you do not need to download any additional dataset.

It is a short course including 10 lectures, a little more than half an hour, yet comprehensive and well enough to get the skill of using Minitab's capabilities for datasheet manipulation and to enable you to start real world data analysis in the next courses of "Foundation of Statistics with Minitab" or "Statistical Methods for Quality Improvement".

Watching a video, pausing it and doing the same steps simultaneously in your own Minitab is the best way of getting experience and practice in data manipulation. Repeating the sessions with different sample data develops your skill to easily handle big data files and helps you reach the stage when you feel that data analysis is a fun when you can have a look behind the scenes.

Introduction – Salesforce Einstein Analytics

Learn Einstein Analytics for FREE!

Created by Hirday Lamba - Salesforce Certified Architect


Students: 10180, Price: Free

Working with Einstein Analytics isn't just lucrative - it's fun! And unlike most data analysis tools, Einstein Analytics uses a drag-and-drop interface, so you don't need to be a programmer to learn Einstein Analytics. This course is meant for those who are looking to move forward in their career by building skills in data science and data visualization.

Use publicly available data to create visualizations on topics that interest you and the course is structured to give users the basic knowledge that you need to be able to create simple visualization through the Einstein Analytics platform.

Conceptual Foundations of PLS Path Modeling

Learn the concepts of the PLS algorithm, reliability and validity, bootstrapping, mediation and moderation.

Created by Geoffrey Hubona, Ph.D. - Associate Professor of Information Systems


Students: 9361, Price: Free

Conceptual Foundations of PLS Path Modeling provides a comprehensive introduction to the most critical foundational concepts of PLS path modeling. Virtually the entire course consists of narrative lectures accompanied by powerpoint slides and some readings. The course does not teach how to use any particular specific PLS software modeling package. The course is very useful as a preliminary course to any other "hands-on" course that teaches how to use specific PLS path modeling (or related) software (such as SmartPLS 2.0 or 3.0; WarpPLS; the semPLS or plspm packages in R; ADANCO;; and so on). Participants learn the conceptual basics of the following critical path modeling terms and processes: What is PLS path modeling?, formative versus reflective constructs, assessing reliability and validity, bootstrapping and blindfolding, how to estimate direct, indirect, total, mediating and moderating effects.

This course is intended for graduate students, faculty and other researchers who seek explicit and comprehensive explanations and of the foundational concepts that underlie PLS path modeling. It addresses basic issues such as: How does the PLS algorithm 'work'? What are the differences between the outer measurement and inner structural models in a path model with latent variables? What are the fundamental distinctions between formative and reflective constructs? What can one determine about direct, indirect, and total effects? About mediating and moderating effects? What do path coefficients, weights and loadings tell you about the underlying data relationships? What are latent variable ‘scores’ or values? What do the predictive levels of variance explained in the endogenous latent variables actually mean?

Tableau | A Quick Start Guide

Tableau is used by thousands of companies worldwide. This quick start course will provide you a foundation in Tableau.

Created by Dave McCubbin - Training Alchemist


Students: 8133, Price: Free

So imagine you have a big list of data (say for example in Excel, SQL, MS Access, MySQL, Oracle, etc.) suffice to say that data is practically unreadable.  Let's be honest, there is no real way for the data makes sense.  Or put another way how do you make heads or tales  out of something so illegible? This is where Tableau can save the day.  :)

With Tableau you can create really cool, slick, visualizations (AKA charts) that allow you to interpret your data in "picture" form to learn the story it's telling you.  Tableau is highly intuitive, incredibly powerful and flat out fun to use.   

This course has been designed to provide a high level overview of the foundational topics in Tableau, with the hope you will take what you learn and apply it to higher levels of Tableau.

The course begins with an overview of Tableau, of which we dub "kicking the tires", from there you will get an intro to calculations on Tableau, then the fun begins--- with a whole module dedicated to common Tableau visualizations, culminating with showing you how to create dashboards and storylines.

Each module/ video tutorial is topical in nature and you can pick and choose the order in which you learn since there is no true progression path to the course.  That said, we've tried to arrange the content so it has the best and easy logical flow.

Topics you will learn: Connecting to data sources, basic chart formatting, sorting, filtering, basic calculations, common Tableau visualizations, dashboards and storylines.

This course is designed for beginners/ novices in Tableau so experienced people need not apply.  :)

** IMPORTANT** This course uses Tableau 9 which is not the most recent version of Tableau since the video series was put together a few years ago.  However all the content within the class applies to Tableau 9.x and higher, just note your screen may look a little different.

So why is this course free?  Simple. By chance this course can help someone, somehow, someway stay afloat economically, move to a better vocation, or allow them a better's well worth it in my view.  ~ Dave (the course author)

Acumen Presents: Prasad Setty of Google on People Analytics

Learn from Google's VP of People Analytics about how to use data for human resource decisions in your organization

Created by Acumen Academy Courses - Global Learning Community for Social Change-Makers


Students: 7382, Price: Free

In today’s competitive knowledge economy, a company’s ability to attract, retain and develop talented people is critical.  Yet, in most organizations, we end up basing personnel decisions on emotions, instincts or politics rather than data. Important decisions about talent end up becoming black-box calculations rather than data-driven choices.

Enter People Analytics. This emerging field uses data to advance how organizations make decisions about human resources and enables leaders to operate on evidence rather than intuition.

Prasad Setty leads the People Analytics team at Google and is a pioneer in this field. In this course, he’ll offer you a behind-the-scenes look at how Google conducts groundbreaking research to distill the characteristics of the most effective teams and managers. He’ll walk you through how his team uses data to inform Google’s decisions about promotions, compensation, and team structure and help you get started incorporating data into your own human resource decisions—even if you’re a social entrepreneur starting at a much smaller and scrappier scale.

By the end of this course, you’ll have worked towards establishing a data-powered, performance-driven culture for your own enterprise and gained practical tips for building people analytics processes. This course is for anyone who wants to develop a smarter social enterprise where key personnel decisions are data-informed and human-approved.

Supercharge Your Business: your roadmap for success!

Giving YOU the skills to analyze and drastically improve your business' performance, boost profits and achieve success!

Created by Jane Crofts - Tableau Partner and Tableau Qualified Associate


Students: 6695, Price: Free

Let's decide if this course is right for you!

  1. Are you a business owner of a small to medium sized business, or perhaps you are in a management position within a larger organisation?
  2. Are you looking for the next big win or opportunity to make significant business improvements?
  3. Perhaps your business is already heading in the right direction but you are looking to ramp up your business results and achieve even greater success?

Did you know that every business collects data and that all data can be put to good use?

Every organisation, no matter how big or small, collects volumes and volumes of data. No matter what size your organisation, your business is never too big or too small to get real value from its data.

The tricky part (for some!) is tapping in to that data and finding the gold that lies within!

This course will show you why data and analysis are the crucial elements to achieving real and sustainable business growth and success.

This course will teach you how to:

  1. identify and access the data your business currently collects,
  2. sort and analyse this data to better understand your business,
  3. tap in to your data and find the gold that lies within, and
  4. create and implement a plan to continuously review, identify and boost performance across all areas of your business.

This course is a combination of video instruction and tutorials, skill-building worksheets and templates, step-by-step guides and an interactive forum for personalised responses and feedback to help you with your data analysis.

It is recommended that this course is taken over the course 2 weeks, committing around 1-2 hours each week, to give you time to review the material, and practice and implement the skills you will be learning.

This course will give you the skills and tools you need to jump straight in to analysing your business - giving you the proven recipe for understanding and continually improving your business performance.

Business Intelligence Development using Python 3

Automate and build a marketing data and user behaviour pipeline.

Created by Christoph Odermatt - Data manager


Students: 6532, Price: Free

Interested in automating your marketing pipeline or your business intelligence? Then this is your course! Learn how to relieve yourself of repetitive work by programming it. All this in less than 2 hours!

There are many Business Intelligence, Python beginners or Data Analytics courses out there. I combine these subjects to create a course that connects and automates your Data tracking tools to your Business Intelligence tool.

We will Extract real-life data from Google Analytics and Facebook with Python and Transform these data points into a useful format and then Load them to Google Sheets => ETL (Extract, Transform, Load)

Python is the best language to automate these processes and will be used in this course. This course is truly step-by-step as we made the course so you can code along with us. We extract data from 4 different sources and then use those data points to be able to decide on our future business strategy. And all is done through live examples. I am using my previous teaching experience as a lecturer to create this easy to understand course.

As a bonus, this course includes all the Python code templates we created for you to download and use on your own projects.

I and my team are constantly available to support you in your learning and to answer questions.

I'll see you on the inside!

Yours sincerely,

Christoph Odermatt

What are the requirements?

  • A minimum understanding of any computer language and some marketing experience.
  • Any computer running Mac, Windows, or Linux, all is shown on a Mac.
  • All the tools used in the course are free, except for your Marketing you are using.
  • Preferably you already have data from your Marketing on Facebook or Google AdWords.
  • And passion to learn.

What am I going to get from this course?

  • Understand a Data Pipeline, Marketing Analytics, Data Automation and the basics of Data Engineering.
  • Learn how to use Python Libraries to create your data automation process.
  • How to make powerful analysis.
  • Create strong added value to your business. This will help you for your next job interview or your Performance Review and salary negotiations.

Learn Tableau – Beginner to Advanced (Add to your resume)

Tableau tutorials by Kashish Gakkar

Created by Kashish Gakkar - Data Engineer


Students: 6086, Price: Free

This course about Tableau contains content from scratch. This course is for anyone who is willing to Learn Tableau as a visualization or Business Intelligence tool, one can be a student or a working professional.

This is highly recommended to practice as you watch these tutorials to gain better understanding of the options and features of Tableau.

This course covers almost all the features and options that Tableau offers.


Command Line Git

Git for Data Scientists and Non Developers

Created by Oscar Valles - Analytics and Business Intelligence Professional


Students: 5944, Price: Free

This course is designed to get you proficient and comfortable with using git in under a day! You will find a focused course on where you'll dive in immediately into using git. While this is not an exhaustive course on git, it does focus on what you are likely to use 70% - 90% of the time. You will be set up for mastery and advanced usage of git if you decide to do so.

This course requirements are minimal. All you'll need is

  • a laptop

  • a GitHub Account (free btw),

In Section 1, we cover

  1. git overview - how git works

  2. git install instructions (very simple)

  3. GitHub account creation

  4. rsa key setup for security

  5. creating your first repository

  6. adding and committing files

  7. pushing / saving your files to github

  8. pull requests and merges

  9. git pull (local)

In Section 2, we become Pros!

  1. git add - add and modify files

  2. git commit - commenting your changes

  3. git push - saving to the server

  4. PRs and Merges - bringing it all together

  5. git pull - copying latest changes locally

In Section 03, is our bonus material that is of high value

  1. .gitignore

  2. markdown

  3. git stash and git pop

  4. git diff

  5. removing / deleting files from GitHub

And the best thing of all, this course can be completed in a day, and you can gain proficiency over a weekend! It's that quick and easy!

Pitch Location Charts with PITCHf/x and ggplot

Visually analyze each at-bat of a baseball game.

Created by Charles Redmond - Professor at Mercyhurst University


Students: 5577, Price: Free

In this course, we make use of PITCHf/x data to create pitch location charts for a given baseball game. We break the game out into each at-bat and visualize the location, type, and speed of each pitch, the order in which the pitches were thrown, and the outcome of the at-bat.

In order to accomplish this, we will be taking a deep dive into ggplot. We will learn much about how to work with color, how to use aesthetics, and how to facet. We will also gain additional R skills, such as how to subset a vector and how to work with factors.

One should be able to complete the course, at a relaxed pace, in about three weeks. It is best if students already have a little bit of a background in R, dplyr, and ggplot, but it is not completely necessary.

Artificial Intelligence and Machine Learning Made Simple

A non-technical explanation of all the buzzwords around Artificial Intelligence, Machine Learning and Deep Learning.

Created by Sertac Ozker - Data Analyst / Machine Learning Engineer / Data Scientist


Students: 5450, Price: Free

Are you ready for the coming AI revolution? It already started to affect us. In this non-technical course, I will try to show you how to navigate the rise of Artificial Intelligence, Machine Learning and Deep Learning.

"Artificial Intelligence and Machine Learning Made Simple" is carefully created to match the needs of business leaders, managers and CXOs. This program was built to be broadly applicable across industries and roles. So regardless if you're coming from IT or marketing, work as an engineer or manager, this program may well be suited for you. Despite its broad applicability, this program will be most useful for those who are looking to understand and make better decisions surrounding machine learning projects in a business environment. My focus will be on explaining concepts in a way that is easily understandable regardless of your technical background.

When you finish the course, you will be comfortable with the buzzwords around Artificial Intelligence, Machine Learning and Deep Learning. You will have a certain understanding of AI applications and how to apply them to your business.

Data Science for Business Leaders: Machine Learning Defined

Understanding Machine Learning as a Business Capability

Created by Robert Fox - Data Scientist, CIO


Students: 4686, Price: Free

This course has a simple mission: to give you a solid understanding of what Machine Learning is.  Mastering the terminology is your first step to understanding the ideas and capabilities. 

Machine learning is a capability that business leaders should grasp if they want to extract value from data.   There's a lot of hype; but there's some truth: the use of modern data science techniques could translate to a leap forward in progress or a significant competitive advantage.  Often you can buy "AI-powered" solutions; but you should consider how your organization's core competencies could benefit from machine learning. 

No coding or complex math. This is not a hands-on course. We set out to explain all of the fundamental concepts you'll need in plain English.

Payment and Payment Fraud

Learn the Payment 101 and Payment Fraud 101. Learn common methods and prevention

Created by Sean Li - Certified Fraud Examiner, risk expert


Students: 4576, Price: Free

Are you ready to start your path to work in payment industry and fight against fraudsters!

Payment and Payment Fraud require some domain knowledge. This comprehensive course is the first one and the only one on Udemy to share everything you need to know about the payment and payment fraud!

With the development of Blockchain and high payment fraud pressure, more and more companies especially tech companies like FB and Google have invested a lot into payment and payment risk management. The payment risk/fraud related job has increased 3 times in the last 2 years.

In this class, we cover all the knowledge you need about payment and payment risk no matter you just prepare for an interview or want to know about it or want to refresh your memory.

This comprehensive course is comparable to the payment training that usually cost hundreds of dollars, but now you can learn all that information at a fraction of the cost!

Here are just a few topics we will be learning:

  • Pull/Push Payment

  • Open-loop/closed-loop payment system

  • The card system

  • Card Authorization, Clearing & Settlement

  • Card Present Transactions vs Card not present transaction

  • Card Interchange Fee

  • Chargebacks and Refunds

  • The ACH system

  • ACH Interchange Fee

  • Account Takeover Risk

  • Stolen Financial Risk

  • Non Sufficient Funds Risk

  • Merchant Risk

  • Authentication

  • How the fraudsters do to avoid risk checks

  • Case Study

  • Risk Strategies and Rules

Enroll in the course and enjoy your time fighting fraudsters today!