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

What you'll learn:
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[*]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
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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?

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[*]Beginner-friendly and step-by-step learning path
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[*]Focus on practical data analysis skills
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[*]Real-world datasets and hands-on projects
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[*]Covers Excel, SQL, and Python together (not isolated)
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In this course, you will learn:

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[*]Data analysis using Excel (formulas, dashboards, reporting)
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[*]Writing SQL queries for data extraction and analysis
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[*]Python fundamentals for data handling and automation
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[*]Data analysis using Pandas
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[*]Data visualization techniques
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[*]How tools work together in real analyst workflows
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Hands-On Projects Include:

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[*]Excel dashboards and reports
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[*]SQL-based data analysis tasks
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[*]Python data analysis projects
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[*]Real-world datasets for practice
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Course Structure:

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[*]Excel for Data Analysis (beginner to advanced)
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[*]SQL for Data Analysis (queries, joins, functions)
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[*]Python Basics & Projects
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[*]Python for Data Analysis (Pandas & visualization)
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[*]Additional tools and practice datasets
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Who This Course Is For:

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[*]Beginners starting a career in data analysis
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[*]Students and fresh graduates
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[*]Professionals switching to data roles
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[*]Excel users upgrading to SQL and Python
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[*]Anyone preparing for entry-level data analyst jobs
[/list]

Why Learn Data Analysis?

Data analysts are in high demand across industries.

With the right skills, you can:

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[*]Analyze business data
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[*]Create dashboards and reports
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[*]Support decision-making
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[*]Start a career in tech
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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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