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These Knowledge Areas Will Define the Next Decade

December 31, 2019 | edX team

Will 2020 be the year of AI, the year of automation, or the year of data? The answer isn’t any one of these. The next year, and more broadly, the next decade, will be defined by a combination of new technologies, with a new emphasis on the necessity to reskill and upskill to keep up with the new prevalence of artificial intelligence, machine learning, cybersecurity, the internet of things, and the growing importance of big data and privacy. The last decade was defined by the accelerating rate of innovation, and the next decade will be no different. Businesses across the spectrum of industry will be impacted by this digital transformation in the coming years— which means you will be, too. 

But that’s not a cause for worry. We’re here to tell you that the future is yours — and to ask, what will you choose to do with it? As the trusted platform for learning, we can help you discover your path to making the most of the next decade. Start by exploring these top courses and programs, curated for the future-minded learner.

Six Sigma: Define and Measure 

Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve and Control.

Introduction to Computer Science and Programming Using Python 

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

HTML5 and CSS Fundamentals 

Learn how to build Web sites using HTML5 and basic CSS, directly from W3C, creator of the latest Web standards.

Design Thinking Fundamentals

Learn how a user-centered approach and design thinking principles inspire innovative ideas to create desirable solutions.

Digital Transformation Strategy

Strategies for driving business success in the new digital economy.

Probability – The Science of Uncertainty and Data

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Introduction to Analytics Modeling

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

Analyzing and Visualizing Data with Excel 

Develop your skills with Excel, one of the common tools that data scientists depend on to gather, transform, analyze, and visualize data.

Introduction to Project Management

Learn the principles of project management and apply them in your own work and life.

Business Analytics Fundamentals


Learn the principles and practical applications of business analytics.

Post Banner Image

These Knowledge Areas Will Define the Next Decade

December 31, 2019 | edX team

Will 2020 be the year of AI, the year of automation, or the year of data? The answer isn’t any one of these. The next year, and more broadly, the next decade, will be defined by a combination of new technologies, with a new emphasis on the necessity to reskill and upskill to keep up with the new prevalence of artificial intelligence, machine learning, cybersecurity, the internet of things, and the growing importance of big data and privacy. The last decade was defined by the accelerating rate of innovation, and the next decade will be no different. Businesses across the spectrum of industry will be impacted by this digital transformation in the coming years— which means you will be, too. 

But that’s not a cause for worry. We’re here to tell you that the future is yours — and to ask, what will you choose to do with it? As the trusted platform for learning, we can help you discover your path to making the most of the next decade. Start by exploring these top courses and programs, curated for the future-minded learner.

Six Sigma: Define and Measure 

Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve and Control.

Introduction to Computer Science and Programming Using Python 

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

HTML5 and CSS Fundamentals 

Learn how to build Web sites using HTML5 and basic CSS, directly from W3C, creator of the latest Web standards.

Design Thinking Fundamentals

Learn how a user-centered approach and design thinking principles inspire innovative ideas to create desirable solutions.

Digital Transformation Strategy

Strategies for driving business success in the new digital economy.

Probability – The Science of Uncertainty and Data

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference.

Introduction to Analytics Modeling

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

Analyzing and Visualizing Data with Excel 

Develop your skills with Excel, one of the common tools that data scientists depend on to gather, transform, analyze, and visualize data.

Introduction to Project Management

Learn the principles of project management and apply them in your own work and life.

Business Analytics Fundamentals


Learn the principles and practical applications of business analytics.