π Course Overview
Learn how to collect, analyze, and interpret data to make smart business decisions. This comprehensive Data Analytics course teaches you how to work with data using industry-standard tools, statistical methods, and visualization techniques.
You will gain practical skills in data cleaning, analysis, reporting, and dashboard creation β helping you turn raw data into meaningful insights. This course is ideal for anyone who wants to start a career in data analytics, business intelligence, or data-driven decision making.
π― What You Will Learn
β Fundamentals of data analytics
β Data collection and data cleaning techniques
β Microsoft Excel for data analysis
β SQL for database querying
β Data visualization using charts and dashboards
β Statistical analysis basics
β Python for data analysis (NumPy, Pandas)
β Business intelligence and reporting
β Real-world data analytics projects
β Data interpretation and decision-making
π Course Curriculum
Module 1 β Introduction to Data Analytics
- What is data analytics
- Types of data and analytics
- Role of a data analyst
Module 2 β Excel for Data Analysis
- Data formatting and cleaning
- Formulas and functions
- Pivot tables and charts
- Data visualization in Excel
Module 3 β SQL for Data Management
- Database concepts
- Writing SQL queries
- Filtering and sorting data
- Joining tables
Module 4 β Data Visualization
- Principles of data visualization
- Charts and graphs
- Dashboard creation
- Reporting insights
Module 5 β Statistics for Data Analysis
- Descriptive statistics
- Probability basics
- Data trends and patterns
Module 6 β Python for Data Analytics
- Introduction to Python
- NumPy and Pandas libraries
- Data manipulation and analysis
Module 7 β Business Intelligence Tools
- Dashboard tools overview
- Reporting techniques
- Real business case studies
Module 8 β Real-World Projects
- Data cleaning and preparation
- Data analysis project
- Dashboard presentation
β± Course Duration
Total Duration: 120 to 150 Hours
Recommended Learning Schedule
β 2 Hours per day β 2 to 3 months
β 3 Hours per day β 6 to 8 weeks
π¨βπ Who This Course Is For
β Beginners interested in data analysis
β Students and graduates seeking tech careers
β Business professionals working with data
β Marketing and finance professionals
β Anyone interested in data-driven decision making
π Requirements
β Basic computer knowledge
β No coding experience required
β Laptop or desktop with internet connection
π Certification
Yes β
Receive a Professional Data Analytics Certificate after completing the course and projects.
πΌ Career Opportunities
After completing this course, you can work as:
β Data Analyst
β Business Analyst
β Reporting Analyst
β Junior Data Scientist (with further learning)
β Business Intelligence Analyst
π§βπ« Learning Method
β Practical hands-on training
β Real datasets and case studies
β Step-by-step project guidance
β Industry-relevant tools
β Instructor support

















