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Data Analytics 101

Data Analytics 101

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KEY FEATURES
  • Build a base in the critical area of data analytics - get prepared!
  • Watch and learn with online videos
  • Course materials created by experts
  • Test yourself anytime, anywhere
ABOUT

This course covers the fundamentals of data analytics, which has become a critical part of all business functions. As organizations strive for productivity and continuous improvement, It is essential to adopt an analytics driven culture. This course demystifies data analytics, provides a framework for understanding the area and a foundation for building an analytics mindset.

Who should take this course?

  • You are a business owner and you need plan for a data-driven analytics culture in your organization
  • You are from a business function and want to know how analytics could be applied in your team or organization
  • You are part of a business team that is implementing analytics projects and would like to understand the area of data analytics
  • You are in the technology industry and wish to understand the relevance of data analytics to your areas of work
  • Importance of analytics
  • Key analytics terminology
  • Analytics maturity model(s)
  • Categories of analytics and real-life uses
  • Analytics applications in the business domain
  • Data types and sources of data
  • Data warehouses, data marts and data lakes
  • Technology infrastructure for analytics

A standard Internet/data connection along with a computer/laptop/smartphone/tablet is enough to get you started!

In addition to topic wise practice questions, this course offers a Course Completion Test (CCT). To qualify for the CCT, a learner has to complete 100% of the course. The CCT is conducted online to provide maximum flexibility to the learner. Based on the results of the CCT, a learner will be given a certificate of completion or a certificate of excellence.

CURRICULUM
UNIT 1: Introduction and Growth of Analytics
Introduction to Analytics
Growth of Analytics
UNIT 2: Analytics Maturity Model and Categories of Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
UNIT 3: Analytics in Practice
Financial and HR Analytics
Marketing and Supply Chain Analytics
UNIT 4: Data and Sources of Data
Data Types and Sources
Unstructured and Semi-structured Data
UNIT 5: Technology Elements for Data Analytics
Technology - Data Storage
Technology Elements
Summary
OUTCOMES
  • You will gain a comprehensive and broad understanding of data analytics
  • You will be comfortable dealing with analytics maturity models and understand the importance of unstructured and semi-structured data
  • You will be able to understand, participate and communicate data analytics related issues
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