This course will teach you fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. Modern software packages and programming languages are now automating most of these activities, but this course gives you something more valuable—critical thinking abilities. This course will help you understand the fundamentals of statistics, learn how to work with different types of data, calculate correlation and covariance, and more.
Careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow.
The course has been designed as follows:
Easy to understand
Comprehensive
Practical
To the point
Packed with plenty of exercises and resources
Data-driven
Introduces you to the statistical scientific lingo
Teaches you about data visualization
Shows you the main pillars of quant research
By the end of this course, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. With this course, you will develop a habit of critical thinking that will take you miles ahead in your career.
The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Statistics-for-Data-Science-and-Busi…-
Understand the fundamentals of statistics
Work and plot with different types of data
Calculate the measures of central tendency, asymmetry, and variability
Calculate correlation and covariance
Perform hypothesis testing and make data-driven decisions
Carry out regression analysis along with using dummy variables
Absolutely no prior experience is required for this course. We will start from the basics and gradually build up your knowledge. Everything is in the course.
Well then, you’ve come to the right place!