Overview:
This course is designed for data analysts, statisticians, and learners aiming to build a strong foundation in statistics and probability. You will learn how to calculate and interpret statistical measures, visualize data, and apply probability concepts in data analysis. The course also covers statistical testing, correlation analysis, regression, and time series forecasting, with practical hands-on exercises.
By the end of this course, you will be proficient in statistical analysis, probability distributions, hypothesis testing, and data sampling techniques.
What you’ll learn:
- Set up the environment and perform basic statistical operations.
- Understand and calculate measures of central tendency and variability.
- Visualize data and interpret graphical representations.
- Apply probability concepts and understand distributions.
- Perform hypothesis testing and statistical tests.
- Analyze relationships using correlation and regression.
- Perform time series analysis and forecasting.
- Understand data sampling methods and scaling techniques.
- Handle missing data and perform cross-validation.
- Apply learned concepts in a mini-project on descriptive statistics.
