Udemy – LEARNING PATH: Statistics and Data Mining for Data Science 2018-6

LEARNING PATH: Statistics and Data Mining for Data Science, Data Science is an ever-evolving field. Data Science includes techniques and theories extracted from statistics, computer science, and machine learning. This video learning path will be your companion as you master the 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 to analyse data and identify which summary statistics are relevant to the type of data you are summarizing. You will also be introduced to the idea of inferential statistics, probability, and hypothesis testing. You will then learn you will learn how to perform and interpret the results of basic statistical analyses such as chi-square, independent and paired sample t-tests, one-way ANOVA, etc. as well as using graphical displays such as bar charts and scatter plots. The latter part of this course provides an overview of the various types of projects data scientists usually encounter. You will be introduced to the three methods (statistical, decision tree, and machine learning) with which you can perform predictive modelling. You will explore segmentation modelling to learn the art of cluster analysis, and will work with association modelling to perform market basket analysis using real-world examples. By the end of this Learning Path, you will gain a firm knowledge on data analysis, data mining, and statistical analysis and be able to implement these powerful techniques on your data with ease.

What you’ll learn

• Get familiar with the basics of analyzing data
• Exploring the importance of summarizing individual variables
• Use inferential statistics and know when to perform the Chi-Square test
• Get well-versed with correlations
• Differentiate between the various types of predictive models
• Master linear regression and explore the results of a decision tree
• Understand when to perform cluster analysis and work with neural networks

Who this course is 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 a guide to understanding the basic as well as advanced statistical and data mining concepts.

Specificatoin of LEARNING PATH: Statistics and Data Mining for Data Science

• Publisher : Udemy
• Teacher : Packt Publishing
• Language : English
• Level : Beginner
• Number of Course : 52
• Duration : 5 hours and 51 minutes

Content of LEARNING PATH: Statistics and Data Mining for Data Science

Requirements

• Basic knowledge of data science is assumed

Pictures

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Subtitle : English

Quality: 720p

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Download – 499 MB

File size

499 MB