Data Analysis with Python & Excel
Duration: 3 Months | Data Analytics, NumPy, Pandas, Visualization
Module 1: Introduction to Data Analysis
- Overview of data analytics
- Understanding datasets and types of data
- Role of data analytics in business decision-making
- Introduction to Python and Excel for data analysis
Module 2: Excel for Data Analysis
- Advanced formulas and functions
- Data cleaning and preprocessing
- Pivot tables and charts
- Conditional formatting and data visualization
Module 3: Python for Data Analysis
- Python basics and data types
- Data manipulation with Pandas
- Numerical operations with NumPy
- Handling missing data and filtering datasets
Module 4: Data Visualization
- Visualization principles and best practices
- Creating plots with Matplotlib
- Charts and graphs with Seaborn
- Interactive dashboards overview
Module 5: Advanced Analytics & Projects
- Exploratory Data Analysis (EDA)
- Introduction to statistical analysis
- Mini project: Real dataset analysis
- Documentation and presentation of results
Module 6: Certification & Next Steps
- Final project submission
- Assessment and evaluation
- Certificate of completion
- Career guidance and resources