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Data Analytics Tutorial

Learn data analytics from the ground up, covering analytical thinking, spreadsheets, SQL, Python, statistics, data visualisation, exploratory data analysis, data cleaning, business and marketing analytics, forecasting, machine learning basics, and data workflows. See how each technique works, compare tools and methods, apply them to real business questions, and build job-ready skills through practical examples, exercises, and an end-to-end capstone project.

11 Modules

61 Lessons

English

1 Hr

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Learn via Video Course

Data Analysis and Processing with Python using Pandas - Data Science Course Logo

Data Analysis and Processing with Python using Pandas - Data Science Course

5 hrs

Reading Plan

MODULE 11

Final Lesson: Bringing It All Together

10 mins

Data Analytics Tutorial

This beginner-friendly data analytics tutorial covers the fundamentals, core tools, and real business applications of data analytics. Learn spreadsheets, SQL, Python, statistics, data visualisation, data cleaning, business analytics, forecasting, and machine learning basics through simple explanations, practical examples, code, and hands-on exercises. Turn raw data into clear insights and build a strong foundation for a data analytics career.

Data Analytics Tutorial for Beginners: Skills , Tools & Examples

Learn data analytics fundamentals, spreadsheets, SQL, Python, statistics, data visualisation, data cleaning, business analytics, and how to turn data into insights.

Data Analytics Tutorial for Beginners: Tools, Examples & Applications

Ideal for students, freshers, career switchers, and working professionals who want to learn data analytics, make data-driven decisions, and build job-ready skills.

Prerequisites

This course is suitable for:

  • Basic computer knowledge.
  • Basic understanding of mathematics, such as percentages and averages, is helpful.
  • Familiarity with Excel or Google Sheets is beneficial but not mandatory.
  • No prior knowledge of SQL, Python, statistics, or data analytics is required.

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