Course Overview
This course provides a comprehensive introduction to data analysis using Python and Excel. You’ll learn how to clean, manipulate, visualize, and extract insights from data using powerful tools like Pandas, NumPy, and Excel functions. By the end of the course, you’ll be equipped with hands-on skills to handle real-world data analysis projects.
Course Content
Module 1: Introduction to Data Analysis
- Understanding the role of a data analyst
- Overview of Python & Excel for data analysis
- Key differences and when to use each tool
Module 2: Data Handling & Cleaning in Excel
- Excel formulas & functions for data analysis
- Data validation & conditional formatting
- PivotTables & Power Query for data transformation
Module 3: Data Handling & Cleaning in Python
- Introduction to Pandas & NumPy
- Data cleaning techniques (handling missing values, duplicates, outliers)
- Data wrangling and transformation
Module 4: Data Visualization & Reporting
- Creating charts & dashboards in Excel
- Data visualization with Matplotlib & Seaborn in Python
- Storytelling with data
Module 5: Exploratory Data Analysis (EDA)
- Understanding datasets using summary statistics
- Identifying trends, correlations, and patterns
- Feature engineering and data preprocessing
Module 6: Automating Data Tasks
- Writing macros & VBA in Excel
- Automating repetitive tasks with Python scripts
- Combining Python & Excel for workflow automation
Module 7: Real-World Data Projects
- Analyzing business sales data
- Customer behavior analysis
- Forecasting trends with time series data
Module 8: Capstone Project & Certification
- Hands-on project using real datasets
- Final assessment & certification
Who Should Enroll?
- Beginners looking to start a career in data analysis
- Professionals who want to enhance their analytical skills
- Business owners & entrepreneurs seeking data-driven decision-making
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