Introduction to Data Analytics Course for Beginners

Overview of the Introduction to Data Analytics course

This data analytics course introduces newcomers to the fundamental concepts of data analysis through case studies and examples drawn from actual scenarios. You will learn about project lifecycles, the differences between data science, machine learning, and data analytics, how to build an analytics framework, and how to use analytics tools to produce business insights.

Skills Included

  • data analytics types
  • Plots of frequency distribution
  • Scatter plots
  • visualization of data
  • Data science approaches
  • Frameworks for adopting analytics
  • Data analytics trends

Benefits

From 2017 to 2023, the market for global data analytics is projected to expand at a CAGR of 30% and end the year with a market value of $77.64 billion. For competent professionals, over 90,000 employment in data analytics will be available globally.

Curriculum for the Introduction to Data Analytics course

Eligibility

Anyone interested in learning the fundamentals of data analytics and pursuing a career in this rapidly growing industry should sign up for this Data Analytics for Beginners course. The course also caters to CxO-level and middle-management professionals who seek to improve their ability to produce business value and ROI from analytics.

Pre-requisites

Either a high school diploma or an undergraduate degree is required for learners. This Introduction to Data Analytics for Beginners course does not require any prior knowledge of analytics, statistics, or coding. A basic understanding of mathematics is helpful for this course.

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