Data Analyst Bootcamp: Excel, SQL & Python (2026)

Data Analyst Bootcamp: Excel, SQL & Python (2026) | Udemy [Update 05/2026]
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Genre: eLearning

What you’ll learn:
Analyze data using Microsoft Excel with formulas, functions, charts, pivot tables, dashboards, and projects
Clean, organize, and validate real-world data using Excel best practices
Create Excel dashboards and reports used in business and analyst roles
Write SQL queries to retrieve, filter, group, and analyze data from databases
Use SQL functions and JOINs to work with multiple tables
Learn Python fundamentals required for data analysis
Work with CSV and JSON files using Python
Perform data analysis using Python Pandas
Visualize data using Python charts and plots
Understand when to use Excel, SQL, or Python in real data analyst workflows
Apply skills through practical projects and real datasets
Build a strong foundation for entry-level data analyst roles

Become a Data Analyst with practical, job-ready skills using Excel, SQL, and Python — even if you’re starting from scratch.

This is a complete Data Analyst Bootcamp with real-world projects

, designed to teach you how data analysis actually works in real companies.

Instead of learning tools separately, you will follow a structured path:

=> Excel → SQL → Python → Real Projects

What makes this course different?

Beginner-friendly and step-by-step learning path

Focus on practical data analysis skills

Real-world datasets and hands-on projects

Covers Excel, SQL, and Python together (not isolated)

In this course, you will learn:

Data analysis using Excel (formulas, dashboards, reporting)

Writing SQL queries for data extraction and analysis

Python fundamentals for data handling and automation

Data analysis using Pandas

Data visualization techniques

How tools work together in real analyst workflows

Hands-On Projects Include:

Excel dashboards and reports

SQL-based data analysis tasks

Python data analysis projects

Real-world datasets for practice

Course Structure:

Excel for Data Analysis (beginner to advanced)

SQL for Data Analysis (queries, joins, functions)

Python Basics & Projects

Python for Data Analysis (Pandas & visualization)

Additional tools and practice datasets

Who This Course Is For:

Beginners starting a career in data analysis

Students and fresh graduates

Professionals switching to data roles

Excel users upgrading to SQL and Python

Anyone preparing for entry-level data analyst jobs

Why Learn Data Analysis?

Data analysts are in high demand across industries.

With the right skills, you can:

Analyze business data

Create dashboards and reports

Support decision-making

Start a career in tech

By the end of this course, you will have the skills to work as a junior data analyst using Excel, SQL, and Python.

Start your journey today and build real-world data analysis skills.

Who this course is for:
Beginners starting a career in data analysis.
Students and fresh graduates from any background
Working professionals planning to switch to Data Analyst roles
Excel users who want to upgrade their skills with SQL and Python
Non-technical learners who prefer clear and step-by-step explanations
Anyone preparing for entry-level data analyst jobs or internships

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