About This Course
This comprehensive 3 months Data Analytics course is designed to take learners from beginner to job-ready level by covering the complete analytics workflow—from data collection to visualization and decision-making. The course provides hands-on training in Microsoft Excel, SQL, Python, and Power BI, enabling learners to work with real-world datasets and solve business problems. Students will learn how to clean, analyze, and visualize data, build dashboards, and generate actionable insights. The program also includes Exploratory Data Analysis (EDA), statistical concepts, and a capstone project, ensuring practical exposure and industry readiness. By the end of the course, learners will be able to confidently perform data analysis and present insights effectively to stakeholders.
What You'll Learn
- Understand the complete Data Analytics lifecycle
- Work with structured and unstructured data
- Perform data analysis using Excel formulas
- Pivot Tables
- and dashboards
- Write SQL queries to extract
- filter
- and analyze data
- Use Python (Pandas
- NumPy) for data cleaning and analysis
- Perform Exploratory Data Analysis (EDA)
- Create visualizations using Matplotlib and Seaborn
- Build interactive dashboards in Power BI
- Apply DAX formulas for business metrics
- Understand basic statistics
- correlation
- and regression
- Present insights using data storytelling techniques
- Complete a real-world capstone project