Data Analyst Complete Course: Excel Sql & Python Projects
 

| Duration: 30h 44m
Learn data analysis from scratch using Excel dashboards, SQL queries, Python automation & real-world projects (2026)
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 TheoryThis 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 internshipsHow 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 ExcelSQL for Data Analysis - querying, filtering, functions, and joinsPython Foundations & Projects - complete Python basics with projectsPython for Data Analysis - Pandas, data visualization, and analysis workflowsAdditional Skills - automation, extra Excel topics, and practice datasetsTo 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 as a Data Analyst• Students and fresh graduates from any background• Working professionals looking to switch to data roles• Excel users who want to upgrade to SQL and Python• Anyone who prefers clear explanations and practical learningNo prior programming or data experience is required.Who This Course Is NOT For:• Advanced data scientists• People looking only for deep machine learning or AI theory• Database administrators or backend developersThis course focuses on practical data analysis foundations, not advanced specialization.Why This Course Is Different:• Clear learning path instead of scattered topics• Strong focus on Excel dashboards and projects• Practical SQL and Python usage (not certification theory)• Beginner-friendly explanations• Designed for non-native English speakersStart Learning with Confidence:If you want a structured, practical, and beginner-friendly Data Analyst course that focuses on real skills, this bootcamp is for you.Enroll now and start your Data Analyst journey step by step.Let's get started and build real-world data skills step by step.Post your questions in the Q&A section and I'll support you throughout the journey.
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