Introduction to Data Science

Modern businesses are always looking for ways to improve their strategies. ""Which webpage attracts more readers?"" ""Does the new store layout affect sales?"" or ""What can we do to improve custom

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Last updated Tue, 23-Mar-2021
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Course overview

Modern businesses are always looking for ways to improve their strategies. ""Which webpage attracts more readers?"" ""Does the new store layout affect sales?"" or ""What can we do to improve customer satisfaction?"" are just a few examples of questions that sit behind decision making in companies.

To answer these questions we need a mix of analytical skills (to manipulate data) business acumen (to apply findings to real-world situations) and statistics (to separate what's essential from what's not).

This is the skillset of the ‘data scientist’ a new job role that has emerged to meet the increased demands and opportunities of the profusion of data generated by the web and modern technology. This course wrests data science back from the data scientist – it teaches the key elements of data science to allow business generalists to solve real business problems themselves. It also provides an accelerated way for those interested in a career in data science.

What will i learn?

  • the analytical and statistical skills to allow students to turn data into actionable insights
  • how to use an analytical toolkit consisting of widely available or free software (principally Microsoft Excel and the R programming language) to allow statistical analysis and visualization
Requirements
Curriculum for this course
2 Lessons 3 hrs
Introduction to Data Science
1 Lessons 03:00:00 Hours
  • Introduction to Data Science
    Preview 03:00:00
Introduction to Data Science Module
1 Lessons
  • Introduction to Data Science Interactive
    Preview .
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About instructor
Includes:
  • 3 hrs On demand videos
  • 2 Lessons
  • Access on mobile and tv
  • Full lifetime access