Forecasting Skills: See the Future Before it Happens

  • 4.8
Approx. 13 hours to complete

Course Summary

This course provides students with the skills needed to forecast future outcomes based on historical data. Students will learn how to use statistical methods and software tools to make accurate predictions.

Key Learning Points

  • Understand the principles of forecasting
  • Learn statistical methods for time series analysis
  • Gain experience using software tools for forecasting

Related Topics for further study


Learning Outcomes

  • Develop the ability to accurately forecast future outcomes based on historical data
  • Gain experience using statistical methods and software tools for time series analysis
  • Enhance your data analysis skills

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of statistics
  • Proficiency in a statistical software tool such as R or SAS

Course Difficulty Level

Intermediate

Course Format

  • Online self-paced
  • Video lectures
  • Hands-on exercises

Similar Courses

  • Data Analysis and Statistical Inference
  • Forecasting and Time Series Analysis
  • Applied Data Science with Python

Notable People in This Field

  • Statistician and Founder of FiveThirtyEight
  • Former Chief Data Scientist of the United States

Related Books

Description

For many people, the future comes as a surprise – or even a shock. But with strong forecasting skills, YOU can avoid future shock. You can adapt faster, and become better prepared to benefit from change.

Knowledge

  • Collect and Analyze SIGNALS OF CHANGE
  • Identify and Analyze GLOBAL DRIVERS OF CHANGE
  • Combine Signals and Drivers into FUTURE FORECASTS
  • Write SCENARIOS that tell a story about your FUTURE FORECAST

Outline

  • Introduction to Future Forecasting
  • Welcome the the course! Meet your professor Jane McGonigal
  • Strong Opinions, Lightly Held
  • What's a forecast?
  • Mini-Masterclass: Forecasting 101
  • Looking for Drivers
  • More Global Drivers
  • Driver Example: Blockchain!
  • How to Make a Quick Forecast on any Topic
  • Take our two-minute survey about the future!
  • Forecasting Skills Brief: Your "Cheat Sheet" for this course
  • Excerpt: Get There Early
  • Skills Refresher: Signals of Change
  • Examples of Drivers: The World in 2030
  • Blockchain Futures
  • The Coming Era of Autonomous Vehicles
  • Future Forecasting Essentials
  • Blockchain basics
  • How to Create a Future Forecast
  • Combining Signals and Drivers into a Forecast (Part 1)
  • Combining Signals and Drivers into a Forecast (Part 2)
  • How to Reveal Unexpected Possibilities (Part 1)
  • How to Reveal Unexpected Possibilities (Part 2)
  • Wired World: Forecasts for 2020 and beyond
  • TOOL: Reveal Unexpected Possibilities
  • Which forecast would impact you the most?
  • How to Write a Future Scenario
  • What's a scenario?
  • DEMO: Building a Scenario From Scratch
  • SCENARIO: The Future of Learning and Earning
  • The importance of ridiculous ideas
  • A Few More Scenarios to Play With
  • Signals of change behind the scenarios
  • Learning is Earning: Map of the Future
  • Scenarios from the Future of Technology (the Ethical Operating System)
  • The Future of Machines (3 Scenarios)
  • The Future of Machines
  • How to Update Your Forecasts
  • Revisiting a 10-Year Forecast... 10 Years Later!
  • Updating a Forecast
  • Congratulations on finishing this course!
  • Future of Money - A Forecast for 2021
  • Future of the Internet: A Forecast for 2021
  • Future of Households: A Forecast for 20201
  • Future of Social Media: A Forecast for 2021
  • An invitation to join our free Alumni Network

Summary of User Reviews

The Forecasting Skills course on Coursera has received positive reviews from users. Many found the course to be informative and well-structured, with engaging instructors who delivered material that was easy to understand.

Key Aspect Users Liked About This Course

The instructors were engaging and delivered material that was easy to understand.

Pros from User Reviews

  • The course is well-structured and informative.
  • The instructors are knowledgeable and engaging.
  • The course offers practical skills that can be applied in the workplace.
  • The course is suitable for all levels of experience with forecasting.

Cons from User Reviews

  • The course can be challenging for those without a strong background in statistics.
  • The course could benefit from more interactive exercises.
  • The course does not cover all aspects of forecasting, such as machine learning techniques.
  • The course may not be suitable for those interested in more advanced forecasting methods.
English
Available now
Approx. 13 hours to complete
Jane McGonigal
Institute for the Future
Coursera

Instructor

Jane McGonigal

  • 4.8 Raiting
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