Complete Data Analytics Course – Excel, SQL, Power BI & Python

📊 Complete Data Analytics Course

Want to learn Data Analytics from the basics and work with the tools used in real-world data analysis?

This practical Data Analytics course brings together four important skills:

Excel + SQL + Power BI + Python

You will learn how to clean, analyze, visualize and understand data while working on practical projects.

Whether you're a student, fresher, career starter or someone looking to build Data Analytics skills, this resource is designed to give you a structured starting point.

🚀 What You'll Learn

📗 Excel for Data Analytics

Learn how to work with data in Excel, clean datasets, use formulas, create pivot tables and build meaningful reports and visualizations.

🗄️ SQL for Data Analytics

Learn how to retrieve and analyze data from databases using SQL queries, filtering, grouping, sorting, joins and other essential concepts.

📊 Power BI

Learn how to transform data, create data models, build interactive dashboards and present business insights using Power BI.

🐍 Python for Data Analytics

Learn the fundamentals of using Python for data analysis, including working with datasets, data cleaning, exploration and visualization.

🧠 Course Contents

Module 1 — Excel

- Introduction to Excel for Data Analytics

- Data entry and organization

- Data cleaning

- Excel formulas and functions

- Sorting and filtering

- Conditional formatting

- Pivot Tables

- Charts and visualization

- Basic data analysis

- Creating useful reports

Module 2 — SQL

- Introduction to SQL

- Databases and tables

- SELECT statements

- Filtering data with WHERE

- Sorting data

- Aggregate functions

- GROUP BY

- HAVING

- Different types of JOINs

- Subqueries

- Practical SQL queries

- Data analysis using SQL

Module 3 — Power BI

- Introduction to Power BI

- Importing data

- Data cleaning and transformation

- Power Query

- Data relationships

- Data modelling

- Introduction to DAX

- Measures and calculated columns

- Charts and visualizations

- Interactive dashboards

- Creating business reports

Module 4 — Python for Data Analytics

- Introduction to Python

- Python basics for data analysis

- Working with datasets

- NumPy basics

- Pandas basics

- Data cleaning and preprocessing

- Exploratory Data Analysis (EDA)

- Data visualization

- Finding patterns and insights

- Practical data analysis

🛠️ Real-World Projects

The course includes practical project-based learning to help you apply the concepts instead of only learning theory.

Projects can be used as practice material and as a foundation for building your own portfolio.

Project Areas Include:

- Data cleaning and preprocessing

- Exploratory Data Analysis

- Business data analysis

- Interactive Power BI dashboards

- SQL-based data analysis

- Excel-based reporting

- Python data analysis

Use these projects to practice your skills, understand the complete analytics workflow and build confidence working with real datasets.

📦 What You Get

After purchase, you will receive the downloadable course/resource files provided with this product.

You'll get learning materials covering:

✅ Excel

✅ SQL

✅ Power BI

✅ Python

✅ Data Cleaning & Preprocessing

✅ Exploratory Data Analysis

✅ Data Visualization

✅ Practical Projects

✅ Project/Practice Resources

Please check the product file information before purchasing to confirm the exact files and format included.

🎯 Who Is This For?

This course is suitable for:

- Beginners in Data Analytics

- College students

- Freshers

- Job seekers

- Working professionals wanting to learn analytics

- Anyone interested in Excel, SQL, Power BI and Python

- Anyone wanting to practice Data Analytics projects

No advanced programming knowledge is required to get started.

💼 Build Your Data Analytics Foundation

Data Analytics involves more than learning one tool.

You'll learn how Excel, SQL, Power BI and Python can work together in a typical analytics workflow:

Collect → Clean → Analyze → Visualize → Generate Insights

Use the course materials to practice this workflow and gradually build your own portfolio.

❓ Frequently Asked Questions

Is this suitable for beginners?

Yes. The material is designed as a beginner-friendly starting point for learning Data Analytics.

Do I need programming experience?

No advanced programming experience is required to get started. Python is introduced specifically from a Data Analytics perspective.

What tools are covered?

The main tools covered are Excel, SQL, Power BI and Python.

Will I get practical projects?

Yes. The product includes practical project-based resources for practicing Data Analytics concepts.

Is this a video course?

Please check the files included with this product. This product provides the downloadable learning resources listed on this page.

How will I receive the product?

After successful payment, Payhip provides access to the downloadable files associated with your purchase.

Can I use the projects in my portfolio?

You can use them for learning and practice. Before presenting any project as entirely your own work, make sure you understand the project and customize it with your own analysis and improvements.

Is this a job guarantee course?

No. This product provides learning resources and practical projects. Employment depends on your skills, preparation, experience and the hiring process.

🔥 Start Learning Data Analytics Today

Build practical skills in Excel, SQL, Power BI and Python and start working toward your own Data Analytics portfolio.

Learn → Practice → Build Projects → Improve Your Skills

👉 Get the Complete Data Analytics Course and start learning today.