Question 1

What is forecasting, and why is it important?

Accepted Answer

Forecasting is the use of past and present data to predict the future. This process is hugely important for strategic thinking in businesses, governments, and other organizations, who use forecasts of market factors like supply and demand as well as macroeconomic trends to guide their future plans and investment decisions.

Forecasts often use a statistical technique called regression analysis, which looks at past trends of two or more variables of interest to see how they are correlated over time. Once these relationships are established, modelers can then create a relatively simple projection for how trends might play out in the future based on expected values of the independent variable. For example, if you make assumptions about the overall growth of the economy, you can predict how that will influence demand for your product.

Of course, the future is full of surprises that can challenge these assumptions. Thus, more sophisticated approaches to forecasting may use the Monte Carlo method or other tools to run many simulations of the future based on an expected range of values for the independent variable. By creating a probabilistic model showing a distribution of expected outcomes, forecasters can use a scenario development process to stimulate thinking across different futures with a goal of creating more robust insights.

Question 2

What kind of career can I have with a background in forecasting?

Accepted Answer

The specialized skills of forecasting are tools of the trade for the analysts employed by businesses, banks, insurance companies, governments, and other organizations. By combining financial modeling expertise with a study of historical trends and data within a specific industry or geographic area, they seek to provide actionable insights to guide investments and other planning decisions.

According to the Bureau of Labor Statistics, financial analysts earned a median income of $85,660 per year as of 2018. They typically have at least a bachelor’s degree in the field of finance, economics, statistics, or mathematics, although professionals with a master’s degree in finance or business administration may be able to advance to higher-paying roles as fund managers or portfolio managers directly responsible for putting forecasts to use.

Question 3

Can I learn about forecasting by taking online courses on Coursera?

Accepted Answer

Yes, you certainly can. Coursera has partnered with top-ranked universities like the University of Pennsylvania and Emory University, as well as the Institute for the Future, to offer a wide range of courses in forecasting and related topics such as business analytics and futures thinking.

These courses and Specializations can equip you with the tools you need to build the powerful financial and economic models relied upon by decision makers in both the private and public sector. And, with the ability to learn remotely on a flexible schedule, you won’t need a crystal ball to fit an online education in forecasting into your own plans for the future.

Question 4

What skills or experience do I need to already have, before starting to learn forecasting?

Accepted Answer

Experience with spotting and understanding trends is helpful to have before learning forecasting. This can be accomplished by watching the news and keeping up with social media regularly. Or you may serve in a marketing or media internship to get a solid background that will help you as you start to learn forecasting. Basic math skills are also essential, as well as a sound understanding of statistics and how to plot graphs and charts. It's also helpful to have experience using Microsoft Excel so that you'll be familiar with it when you start to learn the components of a forecasting model.

Question 5

What kinds of people are best suited for roles in forecasting?

Accepted Answer

People who are interested in business and marketing may be well suited for roles in forecasting. It helps to have an interest in consumers and products, whether that be in the field of fashion, technology, or other markets, and most forecasters need to have an interest in multiple industries. An interest and aptitude for math and statistics are also important to have since forecasters work with numbers, data, analytics, and research all the time. People who are both analytical and creative do well as forecasters. And people who are media savvy and enjoy social media and consuming news coverage daily are also generally well suited for roles in forecasting.

Question 6

How do I know if learning forecasting is right for me?

Accepted Answer

Learning forecasting may be right for you if analyzing consumer data and coming up with insights to make predictions sounds interesting to you. Forecasters often travel so they can gather data in different areas of the country or world and spot trends, so if you enjoy a more mobile lifestyle, learning forecasting may be right for you. When you learn forecasting, you'll also be responsible for writing reports and presenting information to clients in a way that's easy for them to understand and take action on, so you'll need to be comfortable with this and be willing to become proficient at it.

Question 7

What are the benefits of taking an online Forecasting course?

Accepted Answer

Online Forecasting courses offer a convenient and flexible way to enhance your knowledge or learn new Forecasting skills. Choose from a wide range of Forecasting courses offered by top universities and industry leaders tailored to various skill levels.

Question 8

What Forecasting courses are best for training and upskilling employees or the workforce?

Accepted Answer

When looking to enhance your workforce's skills in Forecasting, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.

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Financial Forecasting and Reporting

Excel Regression Models for Business Forecasting

Fundamentals of Quantitative Modeling

Introduction to Predictive Modeling

Machine Learning for Data Analysis

Judgmental Business Forecasting in Excel

Regression Modeling in Practice

Demand Forecasting Using Time Series

Hydro, Wind & Solar power: Resources, Variability & Forecast

Analyzing Time Series and Sequential Data

Forecast bikeshare demand using time series models in R

Predictive Modeling and Machine Learning with MATLAB

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Skills you can learn in Probability And Statistics

Frequently Asked Questions about Forecasting

What is forecasting, and why is it important?‎

What kind of career can I have with a background in forecasting?‎

Can I learn about forecasting by taking online courses on Coursera?‎

What skills or experience do I need to already have, before starting to learn forecasting?‎

What kinds of people are best suited for roles in forecasting?‎

How do I know if learning forecasting is right for me?‎

What are the benefits of taking an online Forecasting course?‎

What Forecasting courses are best for training and upskilling employees or the workforce?‎

Other topics to explore