DATA SCIENCE ZING
  • Data Science
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Big Data
  • Computer Vision
  • Blog
  • Advertise with us

Probability and Statistics for Business and Data Science

6/3/2019

0 Comments

 

What you will learn in this course?

​
  • Understand the basics of probability
  • Understand how regression models work
  • Understand how to use various statistical distributions
  • Understand Chi Squared Tests
  • Apply statistical methods and hypothesis testing to business problems
  • Be able to understand different types of data
  • Implement one way and two way ANOVA
Picture

About this course

If you want to succeed in business and the data science field this course on probability and statistics is for you, we cover all the topics related to statistics and probability.


This course is all about practicals and implementations of statistics in the real world problems; course contains minimum theory and gives more importance to build practical knowledge and core concept about the subject. Each section has dummy problems, in course quizzes, and assessment tests.

The course starts with the very basics of data, building and understanding of how bivariate data sources can be related to each other, dispersion of data, understanding how to examine it with measurements of central tendency.

After completion of basics we’ll dive into probability, learning about permutation and combination, how to apply bayes theorem and whole concept about conditional probability.

Then we’ll move on to discussing and creating a solid base foundation of understanding how to work with binomial, uniform, poisson, and normal distributions and in this course we will learn and develop skills about the most common distributions found in statistics.

The next topic we’ll be covering is all about statistics, starting with practical usage, applying what we’ve learned so far to real world business cases, including the student's T distribution and hypothesis testing. The last topic of this course consist of 3 sections on advanced topics, such as analysis of variance (ANOVA), performing chi squared analysis and finally understanding regression analysis.



This course includes HD quality video lectures with clear explanations. High quality animations are also there in the videos; we also include extensive case studies to show you how to apply this knowledge to the real world.

Click the link or image below to access the course contents:
​​Probability and Statistics for Business and Data Science

Picture
0 Comments



Leave a Reply.

    Picture

    Categories

    All
    Data Science Basics
    Data Science Books
    Data Science Courses
    Data Science Python

    RSS Feed

    Picture
    Picture
    Picture
    Picture
    Picture
Powered by Create your own unique website with customizable templates.
  • Data Science
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Big Data
  • Computer Vision
  • Blog
  • Advertise with us