Description
LEARNING PATH: Statistics and Data Mining for Data Science, the statistics and data mining training course for data science has been published by Udemy Academy. Data science is an ever-evolving field. Data science includes techniques and theories derived from statistics, computer science and machine learning. This video learning path will accompany you by mastering various data mining and statistical techniques in data science. The first part of this course introduces you to the concept of data science and explains the steps involved in data analysis and identifies which statistics are relevant to the type of data you are summarizing. You will also get to know the idea of inferential statistics, probability and hypothesis testing. You will then learn how to perform and interpret the results of basic statistical analyzes such as independent and paired sample t-tests, one-way ANOVA, etc., as well as use graphical representations such as bar graphs and scatter plots.
The second part of this course is an overview of the different types of projects that data scientists usually encounter. You will be introduced to three methods (statistics, decision tree and machine learning) with which you can perform predictive modeling. You will explore segmentation modeling to learn the art of cluster analysis and work with correlation modeling to perform market portfolio analysis using real-world examples. At the end of this learning path, you will gain a thorough knowledge of data analysis, data mining, and statistical analysis, and you will be able to easily implement these powerful techniques on your data.
What you will learn
- Learn the basics of data analysis
- Examining the importance of summarizing individual variables
- Use inferential statistics and know when to do Chi-Square
- Familiarity with solidarity
- Differences between different types of forecasting models
- Basic linear regression and examining the results of a decision tree
- Understanding when to do cluster analysis and work with neural networks
Who is this course suitable for?
- This course is for developers, budding data scientists, as well as data analysts who are interested in entering the field of data science and are looking for guidance in understanding basic and advanced concepts of statistics and data mining.
LEARNING PATH course specifications: Statistics and Data Mining for Data Science
- Publisher: Udemy
- teacher : Pact Publishing
- English language
- Education level: introductory
- Number of courses: 52
- Training duration: 5 hours and 51 minutes
Chapters of LEARNING PATH: Statistics and Data Mining for Data Science
Course prerequisites
- Basic knowledge of data science is assumed
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
499 MB
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