Data Science
Data Analytics
A six month analytics program covering Excel, SQL, Python, Pandas, EDA, Power BI, Tableau, KPIs, and capstone projects.
4.2(26 Reviews)
0 learners enrolled6 MonthsIntermediateData ScienceUpdated 18 May 2026
Course Overview
This Data Analytics course focuses on practical technology skills for data analysis roles. Learners work with Excel, SQL, Python, Pandas, data cleaning, EDA, visualization, Power BI, Tableau, business KPIs, communication, and capstone projects.
Learning Outcomes
- Analyze data using Excel, SQL, and Python
- Clean and prepare datasets with Pandas
- Perform EDA and visualization with Matplotlib and Seaborn
- Build Power BI and Tableau dashboards
- Communicate KPIs and analytics insights clearly
- Complete assisted and independent analytics projects
Key Skills Gained
PythonStatisticsNumPyPandasEDASQLMachine LearningFeature EngineeringModel Evaluation
Prerequisites
- Basic computer knowledge
- Comfort with numbers is helpful but not mandatory
Best Suited For
- Aspiring data analysts
- Students building analytics portfolios
- Professionals adding reporting and dashboard skills
