Statistics for Data Analysis Using Python
Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science
4.69 (1358 reviews)
9,980
students
16 hours
content
Sep 2021
last update
$84.99
regular price
What you will learn
Learn Python from the basics with no prior knowledge required, making this course accessible to everyone.
Understand statistics from the ground up, with no prior knowledge needed, ensuring a solid foundation in both Python and statistics.
Start with basic statistical concepts and progressively apply these concepts using Python for a comprehensive learning experience.
Enjoy a balanced combination of theory and practice, enhancing your understanding and application of statistical methods.
Master descriptive statistics, including mean, mode, median, standard deviation, variance, and interquartile range, using Python.
Dive into inferential statistics with one and two-sample z-tests, t-tests, Chi-Square tests, F-tests, ANOVA, and more, gaining practical skills.
Explore various probability distributions, such as normal, binomial, and Poisson, and learn to implement these in Python.
Understand how to visualize data effectively using Python libraries, creating insightful graphs and charts.
Enhance your resume with valuable skills in Python and statistics, making you a competitive candidate in data-driven fields.
Gain confidence in your ability to perform statistical analyses and interpret results using Python, boosting your career prospects.
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3669784
udemy ID
11/30/2020
course created date
1/16/2021
course indexed date
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