Statistics for Data Analysis Using Python

Learn Python from Basics • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

Created by: Sandeep Kumar, ­ Quality Gurus Inc.
Experienced Quality Director • Six Sigma Coach • Consultant

Created by: Abhin Chhabra
Senior Software Engineer

What Will I 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.

Requirements

• Basic school level mathematics will be helpful.
• You will need to download and install Python on your PC or laptop.

Target audience

• Anyone who want to use statistics to make fact based decisions.
• Anyone who wants to learn Python for career in data science.
• Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.