Description
Statistics & Mathematics for Data Science & Data Analytics, the statistics and mathematics course of data science and data analysis, is published by Udemy Academy. This course equips you with the practical knowledge needed to master the necessary statistics. If you want to become a data scientist or data analyst, it is very important to have a good knowledge of statistics and probability theory. Certainly, data science is more than statistics; However, knowing these principles plays a fundamental role in statistics. I know it is very difficult to get a strong foothold in these concepts alone. So I have created this course. This course gives you the opportunity to systematically cover the main concepts in statistics and probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some advanced regression/machine learning methods such as logistic regression, multinomial regression, Master decision trees and more.
With real-world examples, you will quickly learn the statistical knowledge required for a job as a data scientist or data analyst. Improve your skills and improve your career in this course. This course is the only course that teaches you the real knowledge you need in statistics to work with data. This course is taught by a real mathematician who also works as a data scientist. This course is held both theoretically and practically. After completing this course, you will have everything you need to master the principles of statistics and probability required in data science or data analysis.
What you will learn
- Principles of statistics for data science and data analysis
- Basic descriptive statistics and probability theory
- Machine learning methods such as decision trees and decision forests
- Probability distributions such as normal distribution, Poisson distribution, etc
- Hypothesis test, p-value, type I and type II error
- Logistic regression, multiple linear regression, regression trees
- Correlation, R-Square, RMSE, MAEE, Coefficient of Determination etc
Who is this course suitable for?
- Anyone who wants to master the statistics and possibilities of data science and data analysis
- Anyone who wants to pursue a career in data science
- Professionals and students who want to understand statistics for data analysis
Statistics & Mathematics course details for Data Science & Data Analytics
- Publisher: Udemy
- teacher : Nikolai Schuler
- English language
- Education level: Introductory
- Number of courses: 91
- Training duration: 11 hours and 24 minutes
Chapters of Statistics & Mathematics for Data Science & Data Analytics course
Course prerequisites
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Absolutely no previous experience required. We will learn everything right from the basics and then work our way up step by step
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Eagerness and motivation to learn
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
4.5 GB
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