Topic Covered:
- Introduction to Data Analysis
- Basics of Descriptive Statistics
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA) Techniques
- Introduction to Data Visualization
- Hypothesis Testing and Statistical Inference
- Regression and Correlation Analysis
- Introduction to Data Analysis Tools (Excel, Python, R)
Training Includes:
- Gain a foundational understanding of data analysis principles
- Learn how to clean, preprocess, and organize data
- Perform exploratory data analysis to uncover insights
- Use data visualization techniques to communicate findings
- Apply statistical methods for hypothesis testing and inference
- Understand and implement regression and correlation analysis
- Get hands-on experience with data analysis tools like Excel, Python, and R