Data Analytics Course

Data Analytics Course by KHOJ Evolutions is a free, beginner-level online course in English with 12 modules, 26 lessons and about 26.5 hours of video. It includes a certificate of completion.

This comprehensive Data Analytics course takes learners from the fundamentals of programming and data analysis to practical, industry-relevant analytics skills. The course begins with Python programming, covering essential concepts such as variables, data types, operators, conditional statements, loops, functions, and object-oriented programming. Learners will then explore powerful Python libraries including NumPy for numerical operations, Pandas for data cleaning and reshaping, and Matplotlib and Seaborn for data visualization. The course also covers SQL for working with relational databases, Statistics for understanding and interpreting data, Advanced Excel for organizing and analyzing business records, and Power BI for creating interactive dashboards, KPIs, and visualizations. Throughout the learning journey, learners will develop the ability to collect, clean, organize, analyze, and visualize data to identify meaningful trends and patterns. The course concludes with real-world analytics projects covering areas such as sales, HR, and finance, allowing learners to apply their skills to practical business scenarios.

At a glance

  • Price — Free
  • Level — Beginner
  • Language — English
  • Format — Online, self-paced video lessons
  • Length — 12 modules, 26 lessons, about 26.5 hours of video
  • Certificate — Yes, certificate of completion
  • Category — Data Analytics
  • Provider — KHOJ Evolutions (khojs.com)

What you will learn

  • Understand the fundamentals of Data Analytics and the complete analytics workflow.
  • Learn Python programming concepts required for Data Analytics.
  • Work with variables, data types, operators, conditional statements, loops, functions, and object-oriented programming in Python.
  • Use NumPy for numerical operations and working with numerical data.
  • Use Pandas for data cleaning, manipulation and reshaping.
  • Create meaningful data visualizations using Matplotlib and Seaborn.
  • Use SQL to communicate with and analyze data stored in relational databases.
  • Understand fundamental statistical concepts including mean median mode and outliers.
  • Use Advanced Excel features such as VLOOKUP.
  • Pivot Tables and Power Query for data analysis.
  • Create interactive dashboards KPIs and visualizations using Power BI.
  • Identify trends and patterns from data and convert raw data into meaningful insights.
  • Apply Data Analytics techniques to real-world business problems.
  • Build practical analytics projects in areas such as sales HR and finance.

Course syllabus

  1. Introduction & Roadmap — This module provides an introduction to Data Analytics and the essential tools and skills required to build a career in the field.
  2. Decision Making and Control Flow
  3. Strings and Python Collections
  4. Functions and Reusable Code
  5. Error Handling and File Operations
  6. Object-Oriented Programming in Python
  7. Modules and Packages — Learn how Python code can be organized into reusable modules and packages, and explore commonly used built-in modules.
  8. Python Automation and APIs — This module introduces practical Python scripting using operating system functions, command-line arguments, automation techniques, and APIs.
  9. Python Project — Apply core Python concepts in a practical console-based project involving authentication, loops, functions, dictionaries, exception handling, and account operations.
  10. Python Interview Preparation — Review important Python concepts through commonly asked interview questions covering fundamentals, collections, functions, OOP, exception handling, coding standards, and advanced Python features.
  11. Python Libraries
  12. Excel Fundamentals

Data Analytics Skills You Will Build

You will practice the data analyst workflow: collecting and cleaning data, exploring patterns with statistics, querying with SQL, and presenting results. The tools are Python, SQL, Advanced Excel, and Power BI.

Who this course is for

This course is for beginners who want practical analytics skills for study or work. You do not need a prior data job. A certificate is listed on this page only when the course includes one.

Prerequisites

  • Basic computer knowledge
  • No prior Data Analytics experience required
  • Basic understanding of mathematics is helpful
  • A laptop or desktop with internet access
  • Willingness to learn and practice

Who this course is for

  • Students
  • Beginners
  • Aspiring Data Analysts
  • Working Professionals
  • Business Professionals and Anyone Interested in Data Analytics

Topics covered

Data Analytics, Data Analyst, Excel, SQL, Python, Pandas, NumPy, Power BI, Data Visualization, Statistics, Data Cleaning, Business Intelligence.

Frequently asked questions

Is the Data Analytics Course on Khoj free?

Yes. The Data Analytics Course is free on Khoj, so you can enroll without a course fee.

Do I get a certificate for the Data Analytics Course?

Yes. The Data Analytics Course includes a certificate of completion from KHOJ Evolutions when you finish the course requirements.

How long is the Data Analytics Course?

The course has 12 modules and 26 lessons with about 26.5 hours of video. It is self-paced, so you can learn on your own schedule.

What do I need before starting the Data Analytics Course?

Prerequisites: Basic computer knowledge, No prior Data Analytics experience required, Basic understanding of mathematics is helpful, A laptop or desktop with internet access and Willingness to learn and practice.

Who is the Data Analytics Course for?

This course is for: Students, Beginners, Aspiring Data Analysts, Working Professionals and Business Professionals and Anyone Interested in Data Analytics.

How long do I have access after I enroll?

Once you enroll, you have lifetime access. You can learn at your own pace and revisit lessons later.