Course description

Welcome to Introduction to Data Analytics! This course is designed to give you a foundational understanding of how data is collected, processed, and analyzed to drive smart decisions in today's data-driven world. You'll explore key concepts, tools, and techniques used in the field of data analytics, including data visualization, statistical analysis, and real-world applications. Whether you're aiming for a career in data science or just curious about how data shapes the world around us, this course will equip you with valuable skills and insights.

By the end of the course, you’ll be able to:

  • Understand the data analytics lifecycle

  • Use basic tools and software for data analysis

  • Interpret data to identify patterns and trends

  • Make data-driven decisions with confidence

No prior experience needed—just curiosity and a willingness to learn!

What will i learn?

  • Understand core concepts of data analytics, including types of data, data sources, and the analytics process.
  • Collect, clean, and organize data using basic tools like Excel or Google Sheets.
  • Analyze data using descriptive statistics and simple visualizations to uncover trends and patterns.

Requirements

  • Basic computer skills – Ability to navigate websites, use spreadsheets, and install simple software if needed.
  • Access to a computer or laptop – For completing assignments and using analytics tools.
  • Stable internet connection – To stream video lessons and participate in online activities.
  • Curiosity and willingness to learn – No technical or programming background required—just an open mind!

Frequently asked question

This course is ideal for beginners with little to no prior experience in data analytics. It’s perfect for students, professionals, or anyone curious about how data is used to make decisions.

No prior knowledge of programming or advanced statistics is required. The course starts with the basics and gradually builds your understanding.

You'll be introduced to widely used tools such as Microsoft Excel, Google Sheets, and basic data analytics platforms. In later modules, tools like SQL, Python, or Power BI may be introduced at a beginner-friendly level.

Apoorva Bajaj

₹4000

₹6000

Lectures

22

Skill level

Beginner

Expiry period

Lifetime

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