Statistics and Hypothesis Testing for Data science
"Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science".
4.34 (428 reviews)
28 078
students
4.5 hours
content
Dec 2023
last update
$19.99
regular price
What you will 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.
5481410
udemy ID
03/08/2023
course created date
15/09/2023
course indexed date
Bot
course submited by