Data Analyst For Beginners: Excel Sql & Python With Projects
Published 3/2026
Created by Shubham Pareek
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 119 Lectures ( 30h 44m ) | Size: 25.3 GB
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
Requirements
● No prior programming or data analysis experience required
● Basic computer usage knowledge is enough
● Willingness to learn and practice step by step
Description
Become a Data Analyst with Practical Skills - Not Just Theory
This Data Analyst Bootcamp is designed for beginners who want a clear, structured, and practical path to learning data analysis using Excel, SQL, and Python.
Instead of learning tools separately, this course shows you how data analysts actually work in real companies - starting with Excel, moving to SQL, and then using Python for automation and advanced analysis.
What You Will Learn
• Use Excel for data cleaning, analysis, dashboards, and reporting
• Write SQL queries to retrieve and analyze data from databases
• Use Python for data handling, automation, and analysis with Pandas
• Work on practical projects and real datasets
• Understand how Excel, SQL, and Python work together in real analyst roles
• Build a strong foundation for Data Analyst jobs or internships
How This Course Is Structured
This course follows a beginner-friendly, job-oriented sequence
• Excel for Data Analysis - basics to advanced dashboards, projects, and AI-assisted Excel
• SQL for Data Analysis - querying, filtering, functions, and joins
• Python Foundations & Projects - complete Python basics with projects
• Python for Data Analysis - Pandas, data visualization, and analysis workflows
• Additional Skills - automation, extra Excel topics, and practice datasets
To give you the best learning experience, technical lessons are created with the help of experienced professionals, while the overall learning path, guidance, and support are provided directly by the instructor.
Who this course is for
■ Beginners who want to start 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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