“Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science”.
Welcome to “Statistics and Hypothesis Testing for Data Science” – a comprehensive Udemy course that will empower you with the essential statistical knowledge and data analysis skills needed for success in the world of data science.
What you’ll learn
- Fundamental concepts and importance of statistics in various fields..
- How to use statistics for effective data analysis and decision-making..
- Introduction to Python for statistical analysis, including data manipulation and visualization..
- Different types of data and their significance in statistical analysis..
- Measures of central tendency, spread, dependence, shape, and position..
- How to calculate and interpret standard scores and probabilities..
- Key concepts in probability theory, set theory, and conditional probability..
- Understanding Bayes’ Theorem and its applications..
- Permutations, combinations, and their role in solving real-world problems..
- Practical knowledge of various statistical tests, including t-tests, chi-squared tests, and ANOVA, for hypothesis testing and inference..
Course Content
- Introduction to Statistics –> 3 lectures • 17min.
- Introduction to Descriptive Statistics –> 6 lectures • 39min.
- Introduction to Basic and Conditional Probability –> 7 lectures • 59min.
- Introduction to Inferential Statistics –> 10 lectures • 1hr 40min.
- Introduction to Hypothesis Testing –> 5 lectures • 41min.
Requirements
Welcome to “Statistics and Hypothesis Testing for Data Science” – a comprehensive Udemy course that will empower you with the essential statistical knowledge and data analysis skills needed for success in the world of data science.
Here’s what you’ll learn:
- Delve into the world of data-driven insights and discover how statistics plays a pivotal role in shaping our understanding of information.
- Equip yourself with the essential Python skills required for effective data manipulation and visualization.
- Learn to categorize data, setting the stage for meaningful analysis.
- Discover how to summarize data with measures like mean, median, and mode.
- Explore the variability in data using concepts like range, variance, and standard deviation.
- Understand relationships between variables with correlation and covariance.
- Grasp the shape and distribution of data using techniques like quartiles and percentiles.
- Learn to standardize data and calculate z-scores.
- Dive into probability theory and its practical applications.
- Lay the foundation for probability calculations with set theory.
- Explore the probability of events under certain conditions.
- Uncover the power of Bayesian probability in real-world scenarios.
- Solve complex counting problems with ease.
- Understand the concept of random variables and their role in probability.
- Explore various probability distributions and their applications.
This course will empower you with the knowledge and skills needed to analyze data effectively, make informed decisions, and apply statistical methods in a data science context. Whether you’re a beginner or looking to deepen your statistical expertise, this course is your gateway to mastering statistics for data science. Enroll now and start your Journey!