Statistics in Depth for Business Analytics and Data Science

Master the Statistics in Python and Data Science along with in-depth examples. Solid Foundation in Statistics Guaranteed

What you'll learn:

• Introduction to the Learnings of the Course.
• Introduction to the Probability.
• Master the fundamentals of statistics for data science & data analytics.
• How to plot different types of data.
• Learn about the Statistical Distribution.
• Practice Quizzes and exercises.
• Understand random variables,types & functions.
• Correlation,causation, spearman, kendall rank & pearson correlation.
• Detailed explanation of sampling methods.
• Introduction to the Bayes Theorem.
• Learn measures of central Tendency.
• Get introduced to different Sampling Methods.
• Learn about the Stochastic Process.
• Introduction to the Inferential Statistics.
• Learn about the Descriptive Statistics.

Welcome to the best online course on Statistics for Data Science.

Statistics are used to communicate data. With the help of Statistics understand the data and communicate our confidence in the statements.

Statistics for Data Science course is designed to give knowledge of the basic principles of statistical methods and concepts of statistical analysis using the Python programming language. This is a complete course on Statistics with Python and Data Science along with examples.

In this course, you will cover:

• Introduction to the Statistics.

• Introduction to the Probability.

• Learn about the Descriptive Statistics concepts.

• Learn about the Random Variables in Statistics.

• Learn about Statistical Distribution in this course.

• Learn about the Inferential Statistics topics.

• Learn about the Correlations in the course.

• Learn about the different Sampling Methods in the course.

• Learn about the different types of Stochastic Processes.

• Learn about the Regression in Statistics.

  
  

Not only this, you will get to attempt quizzes to test your knowledge. You will also have access to all the resources such as PPT and coding files used in this course.

Instructor Support - Quick Instructor Support for any queries.

I'm looking forward to see you in the course!

Enroll now and make the best use of this course.