Best Forecasting Model Courses

Find the best online Forecasting Model Courses for you. The courses are sorted based on popularity and user ratings. We do not allow paid placements in any of our rankings. We also have a separate page listing only the Free Forecasting Model Courses.

Marketing Analytics: Forecasting Models with Excel

Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel

Created by Start-Tech Academy - 3,000,000+ Enrollments | 4+ Rated | 160+ Countries

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Students: 110428, Price: $29.99

Students: 110428, Price:  Paid

You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business., right?

You've found the right Marketing Analytics: Forecasting Models with Excel! This course teaches you everything you need to know about different forecasting models and how to implement these models for devising forecasting analytics in Excel using advanced excel tool.

After completing this course you will be able to:

  • Implement forecasting analytics and forecasting models such as simple linear, simple multiple regression, Ratio to Moving Average, Winter's method for exponential smoothing with trend and seasonality, famous Bass diffusion model and many more.

  • Increase revenue/profit of your firm by implementing accurate forecasting analytics using Excel solver Add-in

  • Confidently practice, discuss and understand different Forecasting analytics strategies and forecasting models used by organizations

  • Creating demand forecasting strategies using forecasting analytics techniques and various forecasting models.

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting analytics and forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it for effective demand forecasting and for devising forecasting analytics techniques.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts on forecasting analytics, demand forecasting, forecasting models through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different forecasting models and forecasting analytics techniques

  • Step-by-step instructions on implement forecasting models and forecasting analytics techniques in excel for demand forecasting

  • Downloadable Excel file containing data and solutions used in each lecture on forecasting models and forecasting analytics

  • Class notes and assignments to revise and practice the concepts on demand forecasting, forecasting models and forecasting analytics techniques

The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course

We are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use forecasting models to

  • See patterns in time series data

  • Make forecasts based on models

Let me give you a brief overview of the course

  • Section 1 - Introduction

In this section we will learn about the course structure

  • Section 2 - Basics of Forecasting

In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel

  • Section 3 - Getting Data Ready for Regression Model

In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.

We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.

  • Section 4 - Forecasting using Regression Model

This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results.

  • Section 5 - Handling Special events like Holiday sales

In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.

  • Section 6 - Identifying Seasonality & Trend for Forecasting

In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.

  • Section 7 - Handling Changing Trend & Seasonality over time

In this section we will learn about Winter’s Method that changes trend and seasonal index estimates during each period has a better chance of keeping up with changes than other methods.

  • Section 8 - Forecasting models for New Products

In this section we will learn techniques to forecast new product sales. It is difficult to forecast when we have little or no historical data. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market.

Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst.

I am pretty confident that the course will give you the necessary knowledge and skills related to forecasting analytics, forecasting models and demand forecasting strategies; to immediately see practical benefits in your work place.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this course on forecasting analytics and forecasting models!

Cheers

Start-Tech Academy

Time Series Analysis and Forecasting using Python

Learn about time series analysis & forecasting models in Python |Time Data Visualization|AR|MA|ARIMA|Regression| ANN

Created by Start-Tech Academy - 3,000,000+ Enrollments | 4+ Rated | 160+ Countries

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Students: 108928, Price: $29.99

Students: 108928, Price:  Paid

You're looking for a complete course on Time Series Forecasting to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?

You've found the right Time Series Forecasting and Time Series Analysis course using Python Time Series techniques. This course teaches you everything you need to know about different time series forecasting and time series analysis models and how to implement these models in Python time series.

After completing this course you will be able to:

  • Implement time series forecasting and time series analysis models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.

  • Implement multivariate time series forecasting models based on Linear regression and Neural Networks.

  • Confidently practice, discuss and understand different time series forecasting, time series analysis models and Python time series techniques used by organizations

How will this course help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Time Series Forecasting course on time series analysis and Python time series applications.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it. You will also learn time series forecasting models, time series analysis and Python time series techniques.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different forecasting models, time series forecasting and time series analysis

  • Step-by-step instructions on implement time series forecasting models in Python

  • Downloadable Code files containing data and solutions used in each lecture on time series forecasting, time series analysis and Python time series techniques

  • Class notes and assignments to revise and practice the concepts on time series forecasting, time series analysis and Python time series techniques

The practical classes where we create the model for each of these strategies is something which differentiates this course from any other available online course on time series forecasting, time series analysis and Python time series techniques.

.What makes us qualified to teach you?

  • The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course. They also have an in-depth knowledge on time series forecasting, time series analysis and Python time series techniques.

We are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts on time series forecasting, time series analysis and Python time series techniques.

Each section contains a practice assignment for you to practically implement your learning on time series forecasting, time series analysis and Python time series techniques.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will deal with time series forecasting, time series analysis and Python time series techniques. We will also explore how one can use forecasting models to

  • See patterns in time series data

  • Make forecasts based on models

Let me give you a brief overview of the course

  • Section 1 - Introduction

In this section we will learn about the course structure and how the concepts on time series forecasting, time series analysis and Python time series techniques will be taught in this course.

  • Section 2 - Python basics

This section gets you started with Python.

This section will help you set up the python and Jupyter environment on your system and it'll teach

you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.

The basics taught in this part will be fundamental in learning time series forecasting, time series analysis and Python time series techniques on later part of this course.

  • Section 3 - Basics of Time Series Data

In this section, we will discuss about the basics of time series data, application of time series forecasting, and the standard process followed to build a forecasting model, time series forecasting, time series analysis and Python time series techniques.

  • Section 4 - Pre-processing Time Series Data

In this section, you will learn how to visualize time series, perform feature engineering, do re-sampling of data, and various other tools to analyze and prepare the data for models and execute time series forecasting, time series analysis and implement Python time series techniques.

  • Section 5 - Getting Data Ready for Regression Model

In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.

We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.

  • Section 6 - Forecasting using Regression Model

This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results.

  • Section 7 - Theoretical Concepts

This part will give you a solid understanding of concepts involved in Neural Networks.

In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.

  • Section 8 - Creating Regression and Classification ANN model in Python

In this part you will learn how to create ANN models in Python.

We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.

I am pretty confident that the course will give you the necessary knowledge and skills related to time series forecasting, time series analysis and Python time series techniques to immediately see practical benefits in your work place.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this course on time series forecasting, time series analysis and Python time series techniques!

Cheers

Start-Tech Academy

Financial Modeling for Startups & Small Businesses

Learn the best practices for building practical financial models and forecasts for your startup business.

Created by Evan Kimbrell - Founder of Sprintkick | Ex-VC | Ex-startup founder

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Students: 60696, Price: $129.99

Students: 60696, Price:  Paid

Reasons why you should create a financial model for your startup or small business.  A good financial model can help you:

  1. Test your assumptions and verify key drivers of your business

  2. Compare and contrast different business choices, like pricing models

  3. Calculate the ACTUAL amount of capital you need to startup

  4. Calculate your burn rate

  5. Model out your user growth 

  6. Model out your expenses

  7. Be more prepared talking to potential investors

  8. And loads more.

Building a financial model isn't just a vanity exercise. When done right, it could help you better understand your business, whether it's a startup or an existing business you're growing.

But it's not easy and there is a right way and a wrong way to go about it.

Even if you have little to no finance background, if you're going to be starting or running a business, this is a skill you need to have.

A good financial model is an indicator of how deeply you understand your business model and market. But building a good one requires the right tools and the right approach.

We're going to show you how to do that with a wide variety of examples and exercises.  But we'll also be teaching general best practices that will help you, no matter what you'll be building your financial models for in the future.

Why learn from us?

By signing up with us, you will be learning from two highly rated instructors that have a combined student count of over 350,000 students and 25,000 reviews! 

Check out our profiles and see that we take care of your students and deliver the goods.

Evan has extensive startup experience and previously worked as a venture capitalist, where he evaluated 100's of startups that trying to convince him to invest in them.

Symon also has startup experience in both tech and brick & mortar businesses. Previously he built tons of models while working in mergers and acquisitions as well as in private equity.  And he's helped dozens of startups build financial models across a dozen different business models and industries.  

Together, we pull directly from our experience and put it in this course--in fact, two of the case studies use the ACTUAL financial models used to raise funding.  The other case studies are inspired by well known startups you're sure to recognize.

How is this different from Symon's Intro to Financial Modeling Course?

The Intro to Financial Modeling course taught by Symon He and Brandon Young is an introductory course on financial modeling that presents a general overview covering the topic and is more relevant to those who wish to explore finance as a career option or those who want to understand financial modeling in a corporate context.

This course is all about financial modeling for startup businesses so it's more geared towards entrepreneurs or business owners who want to better understand the key drivers of a new business.

There is almost zero overlap.  Even though both courses introduce a lemonade stand as an example, those examples and models are quite different as they serve very different purposes.  

What if I don't have any finance or Excel background?

No worries! This course isn't an Excel or Finance course, although you will learn a bit of both.  We focus more on the rationale and the logic of modeling specifically for startups or growing businesses, so you can take what you learn to other spreadsheet tools.  

But it will take practice.  You won't get better just watching the videos.  That's why have lots of practice exercises and sample models for you to learn from.

What will I be able to do after I take your course?

After taking our course, you will be:

  • Able to confidently build financial models for your startup or new business from scratch

  • Able to apply the best financial modeling practices and techniques

  • Able to read and understand other financial models by looking at lots of practice models and case studies

  • Able to leverage financial modeling to help you make smarter choices about your business.

  • Able to learn a new skill set that you can take with you for any and every business venture you take up in the future.

Why lemonade stand example?

Because learning how to model on its own is tough enough but learning it while also having to learn a new business model makes it even harder. 

But, even with a simple business model such as a lemonade stand, you'll be surprised by how complex and sophisticated the analysis could become. 

And since this is all about modeling for startups and new businesses, this example is different from the one in the Intro to Financial Modeling course.  

After the simple lemonade example, we cover 7 distinct case studies involving different business models in different industries.

Tell me again why I should take your course?

You have absolutely ZERO risk.

Udemy gives you a solid as an oak tree 30-day money back guarantee.  

So if you've read this far, we welcome you to join us inside.

Company Valuation & Financial Modeling

Learn comprehensive financial modeling, forecasting and business valuation techniques for Finance professionals

Created by Ashish Agarwal - Corporate Finance Expert, Ex McKinsey, Ex BlackRock

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Students: 9784, Price: $74.99

Students: 9784, Price:  Paid

Hey, welcome to our very popular Company Valuation and Financial Modeling online course. 

We are glad to see you visit this course. 

If only we could shake hands!

What is this course about?

In this course, we will teach you the comprehensive skills to undertake the valuation of any company.

We will illustrate the following broad content topics in great detail in this course:

1) Understanding the business model 

2) Preparing the financial statements - income statement, balance sheet and cash flows statement

3) Forecasting the financial statements

4) Discounted Cash Flows based valuation techniques

5) Sensitivities of valuation estimates

It is a very comprehensive course that will teach you the complete skills to perform the valuation analysis of any company.


How is this course useful for YOUR purpose?

Hey, did you watch the promo video? If not, please do. 

This course will help you to stand in good stead for a potential Analyst profile in the following sectors:

  • Investment banking

  • Equity Research

  • Private Equity

  • Asset Management 

  • Consulting / Advisory

Look, the Analyst profile is quite demanding in all of the above jobs.

So your employer will want you to be on ready to work on a real project on Day 1!

Our course does exactly that - we make you job ready for your professional work.

The course provides all the practical training to undertake the role of an analyst in the above sectors.

You can crack your upcoming interviews easily with the learning from this course.

You have lifetime access to the course once you enroll. 

So even if you don't plan to start now, you can still enroll and come back anytime later.


What makes this course different than others?

This course content is unique!

You will learn exactly what you are required to do in your daily work.

You get access to practical real life illustrations of all key skills to be a Analyst with Financial services firms

It is a completely hands-on course.

You need to carry out the illustrations in the course along with the instructor.

We provide you the same set up as the instructor. 

All illustration spreadsheets can be downloaded at your end.

You will feel as if somebody is guiding you step by step in all illustrations.

It is a very practical on the job training for you.

You are going to love our instructor's teaching style. 

He makes it very engaging and fun learning experience.

You will have practice assignments to test your learning from the course

The Practice Assignments are marked with varying difficulty levels - High, Medium and Low.

You will have unlimited access to our support.

Our support team responds to any course queries within 24 hours of your request. 

There are manually edited hand typed captions added on all lectures of this course. 

Feel free to refer to them in case you feel the need.

What are other students saying about this course?

Check our our reviews below.

Read what student Daniel Hughes had to say about this course- 

"Valuable information, Clear explanations, Engaging delivery, Helpful practice activities, Accurate course description, Knowledgeable instructor"

Go to the reviews section below to read more such stories.


What if I do not like the course?

Well, we will be very sad to hear that you did not like the course.

But you are well protected.

You have a 30 day money back guarantee in case you are not happy with the course.

No questions asked.

But we sincerely hope, you will definitely like the course!

What  next?

If there are any doubts, don't hesitate to reach out to us.

Start learning now.

See you inside the course.

Time Series Analysis in Python 2021

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting

Created by 365 Careers - Creating opportunities for Business & Finance students

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Students: 9254, Price: $89.99

Students: 9254, Price:  Paid

How does a commercial bank forecast the expected performance of their loan portfolio?

Or how does an investment manager estimate a stock portfolio’s risk?

Which are the quantitative methods used to predict real-estate properties?

If there is some time dependency, then you know it - the answer is: time series analysis.

This course will teach you the practical skills that would allow you to land a job as a quantitative finance analyst, a data analyst or a data scientist.

In no time, you will acquire the fundamental skills that will enable you to perform complicated time series analysis directly applicable in practice. We have created a time series course that is not only timeless but also:

· Easy to understand

· Comprehensive

· Practical

· To the point

· Packed with plenty of exercises and resources

But we know that may not be enough.

We take the most prominent tools and implement them through Python – the most popular programming language right now. With that in mind…

Welcome to Time Series Analysis in Python!

The big question in taking an online course is what to expect. And we’ve made sure that you are provided with everything you need to become proficient in time series analysis.

We start by exploring the fundamental time series theory to help you understand the modeling that comes afterwards.

Then throughout the course, we will work with a number of Python libraries, providing you with a complete training. We will use the powerful time series functionality built into pandas, as well as other fundamental libraries such as NumPy, matplotlib, StatsModels, yfinance, ARCH and pmdarima.

With these tools we will master the most widely used models out there:

· AR (autoregressive model)

· MA (moving-average model)

· ARMA (autoregressive-moving-average model)

· ARIMA (autoregressive integrated moving average model)

· ARIMAX (autoregressive integrated moving average model with exogenous variables)

. SARIA (seasonal autoregressive moving average model)

. SARIMA (seasonal autoregressive integrated moving average model)

. SARIMAX (seasonal autoregressive integrated moving average model with exogenous variables)

· ARCH (autoregressive conditional heteroscedasticity model)

· GARCH (generalized autoregressive conditional heteroscedasticity model)

. VARMA (vector autoregressive moving average model)

We know that time series is one of those topics that always leaves some doubts.

Until now.

This course is exactly what you need to comprehend time series once and for all. Not only that, but you will also get a ton of additional materials – notebooks files, course notes, quiz questions, and many, many exercises – everything is included.

What you get?

· Active Q&A support

· Supplementary materials – notebook files, course notes, quiz questions, exercises

· All the knowledge to get a job with time series analysis

· A community of data science enthusiasts

· A certificate of completion

· Access to future updates

· Solve real-life business cases that will get you the job

We are happy to offer a 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.

Why wait? Every day is a missed opportunity.

Click the “Buy Now” button and start mastering time series in Python today.

Forecasting Models and Time Series for Business in R 2021

6 forecasting models | Sales & Demand Planning | Time Series Analysis | Prophet | ARIMA | Neural Networks | Ensemble

Created by Diogo Alves de Resende - Econometrics and Data Science enthusiast

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Students: 687, Price: $24.99

Students: 687, Price:  Paid

How many times have you wanted to predict the future?

Welcome to the most exciting online course about Forecasting Models and Time Series in R. I will show everything you need to know to understand the now and predict the future.

Forecasting is always sexy - knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!

WHY SHOULD YOU ENROLL IN THIS COURSE?

  • YOU WILL LEARN THE INTUITION BEHIND THE TIME SERIES MODELS WITHOUT FOCUSING TOO MUCH ON THE MATH

It is crucial that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to a minimum.

  • THOROUGH COURSE STRUCTURE OF MOST IMPACTFUL TIME SERIES FORECASTING MODEL TECHNIQUES

The techniques in this course are the ones I believe will be most impactful, up to date, and sought after:

· Holt-Winters

· Sarimax

· TBATS

· Facebook Prophet

· Neural Networks AutoRegression

· Ensemble approach

  • WE CODE TOGETHER LINE BY LINE

I will guide you through every step of the way in your journey to master time series and forecasting models. I will also explain all parameters and functions that you need to use, step by step.

  • YOU APPLY WHAT YOU ARE LEARNING IMMEDIATELY

At the end of each section regarding forecasting techniques, you are shown an exercise to apply what you learn immediately. If you do not manage? Don't worry! We also code together line by line the solutions. The challenges range from predicting the interest in Churrasco (Brazilian BBQ) to the Wikipedia visitors of Peyton Manning.

Did I spike your interest? Join me and learn how to predict the future!

Forecasting Models and Time Series for Business in Python

Learn Holt-Winters, Arima, Sarimax, Tensorflow Time Series, Facebook Prophet, XGBoost for Demand Planning & Forecasting

Created by Diogo Alves de Resende - Econometrics and Data Science enthusiast

"]

Students: 288, Price: $19.99

Students: 288, Price:  Paid

Welcome to the most exciting online course about Forecasting Models in Python. I will show everything you need to know to understand the now and predict the future.

Forecasting is always sexy - knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!

WHY SHOULD YOU ENROLL IN THIS COURSE?

YOU WILL LEARN THE INTUITION BEHIND THE MODELS WITHOUT FOCUSING TOO MUCH ON THE MATH

It is fundamental that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to a minimum.

THOROUGH COURSE STRUCTURE OF MOST IMPACTFUL ECONOMETRIC TECHNIQUES

The techniques in this course are the ones I believe will be most impactful, up to date, and sought after:

  1. Holt-Winters

  2. TBATS

  3. SARIMAX

  4. TensorFlow Structural Time Series

  5. Facebook Prophet

  6. Facebook Prophet + XGBoost

  7. Ensemble approach

WE CODE TOGETHER LINE BY LINE

I will guide you through every step of the way. I will also explain all parameters and functions that you need to use, step by step.

THE FINAL REASON IS THAT YOU PRACTICE, PRACTICE, PRACTICE.

For each algorithm, there is a challenge. This means that each technique has 2 case studies. The goal is that you apply immediately what you have learned. I give you a dataset and a list of actions you need to take to solve it. I think it is the best way to really cement all the techniques in you.

Did I spike your interest? Join me and learn how to predict the future!

Build A Financial Forecasting Model for your next Startup

Build a Dynamic Financial Model to forecast Business Performance and Cashflow required for Startup or existing business

Created by ExActProBi (Prashant Panchal) - Excel and Data Transformation Expert, Chartered Accountant

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Students: 98, Price: $24.99

Students: 98, Price:  Paid

*** Now You can Create an exact same model with Google Sheets instead of Microsoft Excel **** 

Forecasting Business performance for next one year or more is absolutely crucial for any startup or even for Existing Businesses

Therefore, it is important to use robust tools to generate reliable forecasting for your business well ahead of time, this will surely prepare you for any uncertainties that may arise

The best and easiest way to prepare a business performance forecast is to prepare a Financial Model in a familiar application called Microsoft Excel or Google Sheets!

While preparing Financial Models, people usually focus on KPIs like Sales, Sales growth, Cost of Sales, Fixed overheads and Net Profit in creating their forecasting models, but the most important and lifeblood for any startup or business is CASHFLOW.

There is no one better than you who can understand the value and importance of your business/idea/venture, so I believe you should be the one to predict future of the business by preparing your own Forecast, my goal here is to empower non-finance business personnel with tools and techniques to get control of their business performance and outcomes! Therefore I have designed this course with easy to follow an approach where Non-Finance entrepreneurs and business owners can follow along and build up a financial model for their dream business ideas! (don worry if you get stuck you can always reach out to me via Q&A forum on this platform)

Welcome the course: Build A Financial Forecasting Model for your next Startup

Financial modelling for any kind of business is a crucial task and it is often considered a job which only an Excel or Finance expert can do!

While I do not disagree with the above statement, even if you do not have any finance or accounting background or expert Excel/spreadsheet skills you can easily learn them within few hours and you can still build a robust and reliable finance model for your own business within few hours!

In this course, you will learn how to build a UNIQUE financial model from scratch, this course is specially designed for NON-FINANCE people/entrepreneurs

This Financial Model allows forecasting two major components of Business which are key for success:

  1. Income Statement

  2. Cashflow performance and Funding required to keep business afloat

Income Statment Forecasting is key for your business success, with this Financial Model you will be able to forecast or model:

  • Sales and Revenue (with growth type: linear or selective), this is also perfect for any seasonal business model as well

  • Cost of goods sold and Gross Profit for each of your product (linear or selective)

  • Inventory balances (for trading business which has inventories)

  • Direct other costs (Eg Custom duties, import duties, freight etc)

  • Gross Profit (% GP)

  • Indirect overheads or semi-fixed overheads (Eg Property rentals, Salaries, Vehicle rentals, utilities etc)

  • Net Profit (% NP)

The model is ideal for businesses where there are seasonal fluctuations in sales and sales growth, you can model each moths' revenue where there will be lower sales or vice versa

Cashflow Forecasting is as important as Income Statment Forecasting. The business world is full of uncertainties, and even if your idea is a breakthrough, you might face temporary cash issues due to many reasons beyond your control. Therefore, using proper Cashflow forecasting method is absolutely essential. Cash is king in any business and it’s THE most important resource for any business to go on for a long time.

Guess What? this model lets you model key factors and indicators affecting cashflow as follows:

  • Amount and portion of Cash Sales in business, everyone prefers to sale their products or services on Cash basis only but for sustainable growth in business, you will have to provide the optimum amount of credit to your major customers. The model allows to set % of cash sales and credit sales and you find at what level of % you will have maximum sales growth

  • Cash collections from your customer – How much credit you should give to your customers for each of your product to ensure that you don’t run out of cash

  • Cash collection prediction becomes even more crucial when you have a seasonal business model, this model lets you predict and forecast your cash collections when your sales are really high or its really low through the year

  • Cash payments to your suppliers – suppliers are as important as customers, how you should negotiate with your suppliers to give you optimum credit (in days) to ensure overall cash position of your business is always positive

  • In case you run out of cash for any reason, you can setup revolving line of credit with your bankers to provide you with a temporary line of credit or bank overdraft, this model lets you forecast that as well, you can clearly view how much temporary funding will be required in case business is not performing well in order to run the operations at the base level.

  • If you are borrowing temporarily, you must keep in mind the interest cost which you will incur, this model lets you forecast interest expenditure as well and how managing credit period with your customers and suppliers reduce interest expenditure each month/year

  • Having an optimum mix of Cash sales/purchase and Credit days (allowed and to get) could be the key for a successful startup or business venture, you can achieve the optimum mix required for your nature of business with this Financial Model easily and effectively

This course covers:

  • The basics of Accounting and Finance (the accounting equation, Debits and Credits, what is balance sheet etc)

  • Excel /Google Sheets formulas and function to be used for building the ultimate Financial model

  • Advanced Financial Model building process (step by step, beginner-friendly)

  • Advanced Charting Techniques and Dynamic Dashboard building to supplement your Financial Model's KPIs in a visual manner

This model can be used to present your business plan Infront of prospective Investor, venture capitalist, a banker to obtain the necessary funding to expand and grow your dream business

This model is an ideal tool for new business or startups, existing small to medium-sized businesses in many sectors and industries, for example:

  • FMCG – Fast moving consumer goods like electronics goods (Trading)

  • Restaurant business

  • Consulting business

  • Online store/e-commerce business

  • Any kind of seasonal businesses (where some months have more sales growth than others in a year)

  • Any other small to medium-sized businesses

As mentioned above, many numbers of scenarios can be modelled here, and you are not limited to worst, good and best scenarios only

You can add more products and forecast each product’s performance either with linear growth (month to month fixed increase or in sales) or you can do more practical growth prediction with selective growth for each product month on month

And if you are dealing with seasonal business, this model lets you forecast monthly sales quite accurately to manage the impact of seasonal sales (up and down)

Same as sales growth, you can also predict gross profit and cost of goods sold for each of your product either with linear or selective growth % values

So what are you waiting for? Start your journey of learning an awesome and powerful financial Model building! ENROL NOW 

Financial Modeling Bootcamp: Forecast all 3 Financial Stmts

Learn to build and forecast all 3 financial statements from scratch. Become a financial modeling rockstar!

Created by Nate @ Wisdify - Co-Founder & Lead Instructor @ Wisdify

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Students: 31, Price: $44.99

Students: 31, Price:  Paid

Learn how to build and forecast all 3 financial statements like a pro!

If you are in the finance or accounting world (or aspire to be) a deep knowledge of the 3 financial statements, how to build them, and how to forecast them is critically important. This course is going to help take your financial modeling skills to a whole new level!

In our course you are going to:

  • Improve your Microsoft Excel modeling skills

  • Build the 3 financial statements from scratch

  • Learn to forecast every part of the income statement and balance sheet

Our course features:

  • We walk you through every single piece of the financial statements

  • You will follow along with the instructor on your own model

  • Easy to understand videos broken into 3-6 minute videos

  • Well designed and easy to understand for even a finance novice

  • Detailed and comprehensible explanations

  • Materials that you can reference for years to come

What's great is this course pairs perfectly with our other finance and Excel courses. In fact, we highly recommend taking our Financial Statement Analysis course before this one as that course will give you a great background on how the financial statements actually work.

This course then builds on that by teaching you to build and forecast the financial statements.

So register today and take your financial modeling skills to the next level!

Building a Spreadsheet Forecasting Model

The structure to develop practical and effective spreadsheet forecasting or planning models

Created by Ross Maynard - Process Improvement Specialist

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Students: 3, Price: $24.99

Students: 3, Price:  Paid

Modern spreadsheets are very powerful tools and it is easy to build a forecasting or business model. The problem is that the formulae can quickly become very complex, and the structure of the model can get very unwieldy. The person who originally built the model may be able to navigate it well enough, but the people who have to use it, or want to study the outputs, may find it impenetrable.

What is needed is structure. A good spreadsheet model tells a story – it has a beginning, a middle, and an end. The model needs to be easy to understand, so that non-experts can see how changes in variables affect the model and can take ownership of it. Equally importantly, if the person who built the model is unavailable, someone else can take over and “drive” it without too much difficulty.

Building a Spreadsheet Forecasting Model will provide delegates with the skills they need to structure and develop a practical and effective spreadsheet forecasting or planning model.

The course will focus on building models for:

• Forecasting the likely, and possible, outcomes of business activity

• Reviewing the feasibility of proposed business ventures

• Planning the financial needs and performance of business projects

• Modelling the performance of the business as a whole through various business scenarios.

This course uses Microsoft Excel but advanced knowledge of Excel is not necessary. We keep the functions and formulae used as simple as possible.