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DATA ANALYST

Data Analyst Course

Launch your career in data analytics by learning Python, SQL, Excel, data visualization, and analytical techniques to transform raw data into meaningful business insights.

4.5 / 5.0 99+ Enrolled All Levels English

Course Description

The Data Analyst Course is designed for students, graduates, and working professionals who want to build a career in the fast-growing field of data analytics. This course begins with Python programming, providing a strong foundation in programming, data manipulation, and automation before moving into core data analysis concepts.

You will learn how to collect, clean, organize, analyze, and visualize data using industry-standard tools and techniques. The course covers Python for Data Analysis, Advanced Microsoft Excel, SQL with MySQL, and powerful Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn. You'll also learn how to create dashboards, generate reports, identify trends, and make data-driven decisions using real-world datasets.

Throughout the course, you'll complete practical assignments, case studies, and hands-on projects that simulate real business scenarios. By the end of the program, you'll have the skills to analyze data, create visual reports, automate repetitive tasks, and present actionable insights—preparing you for roles such as Data Analyst, Business Analyst, Reporting Analyst, or Junior Data Scientist.

What You'll Learn

Python programming
Programming fundamentals
Data manipulation
Advanced Excel
Excel formulas and functions
Pivot Tables
Charts and dashboards
Data cleaning
Data preprocessing
SQL fundamentals
MySQL database
SQL queries
Data extraction
Joins and aggregations
NumPy
Pandas
Matplotlib
Seaborn
Data visualization
Statistical analysis
Exploratory Data Analysis (EDA)
Business reporting
Dashboard creation
Data interpretation
Automation with Python
Real-world case studies
Analytical thinking
Problem solving
Mini projects
Final data analysis project