DATA SCIENCE

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many industries, academia, and government. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, or detect flaws.

In this course, you will learn the basics of data visualization and exploratory data analysis. We will use three motivating examples and the ggplot2, a data visualization package for the statistical programming language R, to code. To learn the very basics, we will start with a somewhat artificial example: heights reported by students. Then use case studies related to world health and economics and another in infectious disease trends in the United States.

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BUSINESS AND DATA ANALYSIS

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In the modern workplace, it’s crucial to know how to analyze, synthesize, and tell stories with data. This self-paced career development course will help you learn how to use a spreadsheet application (like Microsoft Excel) as a powerful analytical and communication tool. You will perform real-world market and financial analyses and practice presenting your findings visually for maximum impact. By the end of the course, you will be able to make data-driven decisions that help your organization grow and prosper.

This is the fourth course in Fullbridge’s four-part Career Development XSeries, designed to prepare you to succeed in the modern workplace.

BIG DATA ANALYTICS

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Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.

In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R.

Topics covered in this course include:

  • cloud-based big data analysis.
  • predictive analytics, including probabilistic and statistical models.
  • application of large-scale data analysis.
  • analysis of problem space and data needs.
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