Udemy – Statistics and Hypothesis Testing for Data science 2023-12

Udemy – Statistics and Hypothesis Testing for Data science 2023-12 Downloadly IRSpace

Aug 16, 2025 - 07:15 Updated: Aug 17, 2025 - 19:52

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Udemy – Statistics and Hypothesis Testing for Data science 2023-12

Statistics and Hypothesis Testing for Data Science. This comprehensive course provides the statistical knowledge and data analysis skills necessary for success in data science. Participants will be introduced to basic statistical concepts, data classification, and information summarization methods such as mean, median, variance, and standard deviation. Data analysis techniques including correlation, covariance, quartiles, and percentiles are also taught. Part of the course is devoted to probability, set theory, conditional probability, and Bayesian methods. In addition, random variables, probability distributions, and their applications in data science are covered. By learning these concepts, learners will be able to analyze data, make evidence-based decisions, and use statistical methods in data science projects. This course is suitable for beginners and those interested in strengthening their statistical knowledge, and provides a solid foundation for applying statistics to data science.

What you will learn:

Basic concepts and importance of statistics in various fields.
How to use statistics for effective data analysis and decision making.
An introduction to Python for statistical analysis, including data manipulation and visualization.
Different types of data and their importance in statistical analysis.
Measures of central tendency, dispersion, 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.
Working knowledge of various statistical tests, including t-tests, chi-squared tests, and ANOVA, for hypothesis testing and inference.

Who is this course suitable for?

Students or professionals in various fields, including business, science, social sciences, and healthcare, who want to improve their data analysis skills.
Data analysts, researchers, and scientists looking to strengthen their statistical fundamentals and Python programming skills.
Anyone interested in a deeper understanding of statistical concepts and their practical applications.
Beginners who have no prior statistical knowledge but are curious about learning and applying statistical methods.
Professionals looking to advance their careers by acquiring valuable statistical and data analysis skills.
People preparing for standardized tests or exams that include statistical and data analysis components.

Course details: Statistics and Hypothesis Testing for Data science

Publisher: Udemy
Teacher: Meritshot Academy
Training level: Beginner to advanced
Training duration: 4 hours and 15 minutes
Number of lessons: 31

Course headings

Prerequisites for the Statistics and Hypothesis Testing for Data science course

Access to a computer with internet connectivity.
A basic understanding of mathematics, including algebra and arithmetic.
Familiarity with fundamental concepts in data analysis and problem-solving.
A willingness to learn and engage with statistical concepts and Python programming.
Basic knowledge of Python is a plus but not mandatory.

Udemy – Statistics and Hypothesis Testing for Data science 2023-12