Explanation
Good news, you don’t need a Maths degree – this course equips you with the practical knowledge needed to master the necessary statistics. It is very important if you want to become a Data Scientist or Data Analyst to have a good knowledge of Statistics & Probability Theory. Of course, there is more to Data Science than just statistics. But it still plays an essential role to know these basic statistical points.
I know it is very difficult to have a firm footing in these thoughts yourself. So I made this course. This course gives you an opportunity to systematically study the basic concepts of statistics & probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance and some regression methods/ machine learning such as logistic regression, polynomial regression, decision trees and more. With real-life examples you will quickly learn the statistical knowledge required for a data scientist or data analysis career. If you feel that this is a good fit for you, then take this opportunity to improve your skills and improve your career by enrolling in this course.
What will you learn?
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Learn the basics of statistical data science & data analysis
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Master’s descriptive statistics & probability theory
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Machine learning methods such as Decision Trees and Decision Forests
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Probability distribution like normal distribution, Poisson distribution and many more
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Hypothesis testing, p-value, type I & type II error
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Logistic Regression, Multiple Linear Regression, Regression Trees
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Correlation, R-square, RMSE, MAE, correlation coefficient and more
Who is this course for?
- Anyone who wants to master statistics & probability in data science & data analysis
- Anyone who wants to pursue a career in Data Science
- Professionals and students who want to understand the statistics necessary for data analysis.
Specialization in Statistics & Mathematics in Data Science & Data Analytics
- Publisher: Udemy
- Teacher: Nikolay Schuler
- Language : English
- Level: Beginner
- Number of courses: 91
- Duration : 11 hours and 24 minutes
Statistical & Mathematical Content of Data Science & Data Analysis
Requirements
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Virtually no prior experience is required. I will learn everything right from the basics and then work step by step
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Commitment and motivation to learn
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Installation Guide
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Subtitle : English
Quality: 720p
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file size
4.5GB