Data Analytics Module 1

Introduction to Data Analytics

Learning Outcomes: Data helps us make decisions in everyday life and in business. In this first part of the course, you’ll learn how data analysts use data analytics and the tools of their trade to inform those decisions. 

  • Program Description and course syllabus
  • Introduction to the course
  • Helpful resources to get started
  • What is Data Ecosystem
  • How Data Informs better decisions


The Data Analysis Process

Learning Outcomes: Data has its own life cycle, and the work of data analysts often intersects with that cycle. In this part of the course, you’ll learn how the data life cycle and data analysts’ work both relate to your progress through this program. You’ll also explore analytical thinking and how it relates to data-driven decision-making.

  • Key Data Analyst skills
  • Stages of Data life cycle
  • Phases of Data Analysis


The Data Analysis Tool Box

Learning Outcomes: Data analysts balance many different roles in their work. In this part of the course, you’ll learn about some of these roles and the key skills used by analysts. You’ll also be introduced to applications used in the data analysis process. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.

  • The Data Analysis Tool box
  • Structured thinking
  • Problem solving and Effective questioning: SMART questions
  • Data analyst job opportunities


Mastering Spreadsheet

Learning Outcomes: Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day.

  • Working with spreadsheet: Columns, rows, and cells, attributes & observation
  • Formulas in spreadsheet
  • Functions in spreadsheet

Tools Required

  • Microsoft excel or Google sheet 
  • MySQL
  • Power BI



  • Ability to use the computer
  • Availability of internet

Course Details














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