Descriptions
LEARNING PATH: Statistics and Data Mining for Data Science. Data science is a constantly evolving field. Data science includes techniques and theories from statistics, computer science, and machine learning. This video learning path will be your companion as you master the various data mining and statistics techniques in data science. The first part of this course introduces you to the concept of data science and explains the steps involved in analyzing data and determining 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 how to perform basic statistical analyses such as chi-square analyses, independent and paired sample t-tests, one-way ANOVA, etc. and interpret the results, as well as using graphical representations such as bar charts and scatter plots. The last part of this course provides an overview of the different types of projects that data scientists typically encounter. You will be introduced to the three methods (statistics, decision tree and machine learning) that you can use to perform predictive modelling. You will explore segmentation modelling to learn the art of cluster analysis and work with association modelling to perform market basket analysis using real-world examples. By the end of this learning path, you will have a strong knowledge of data analysis, data mining and statistical analysis and will be able to easily apply these powerful techniques to your data.
What you will learn
- Get to know the basics of data analysis
- Exploring the importance of aggregating individual variables
- Use inferential statistics and know when to perform the chi-square test
- Familiarize yourself with context
- Distinguish between the different 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 is this course suitable for?
- This course is aimed at developers, aspiring data scientists, and data analysts who are interested in entering the field of data science and are looking for a guide to understanding basic and advanced statistics and data mining concepts.
Specifics of the LEARNING PATH: Statistics and Data Mining for Data Science
- Publisher : Udemy
- Teacher: Packt Publishing
- Language: English
- Level: Beginner
- Number of courses: 52
- Duration: 5 hours and 51 minutes
Contents of LEARNING PATH: Statistics and Data Mining for Data Science
Requirements
- Basic knowledge of data science is required
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
499MB