Description
This course is designed to build a strong foundation in statistics, an essential skill for data science and analytics. Whether you are a beginner or looking to strengthen your analytical skills, this course will help you understand how to interpret data and make informed decisions.
You will start with basic statistical concepts such as mean, median, and standard deviation, and gradually move toward probability, distributions, and hypothesis testing. By the end of the course, you will be able to analyze datasets, identify patterns, and apply statistical methods in real-world scenarios.
Benefits of the course
- Statistical concepts
- Data interpretation
- Hypothesis testing
- Analytical thinking
Topics for this course
Basics of Statistics
Types of Data
Measures of Central Tendency
Measures of Dispersion
Probability
Probability Rules
Sampling Techniques
Requirements
- Basic math knowledge helpful
Target Audience
- Students, analysts, and data enthusiasts
Materials included
- Datasets
- Exercises
- Case studies
- Practice problems
