Book

Statistics for Data Science

Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical computations will be clearly explained along with the logic. You will come across various mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
9h32m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 9h32m total length

1. Transitioning from Data Developer to Data Scientist
2. Declaring the Objectives
3. A Developer Approach to Data Cleaning
4. Data Mining and the Database Developer
5. Statistical Analysis for the Database Developer
6. Database Progression to Database Regression
7. Regularization for Database Improvement
8. Data Development and Assessment
9. Databases and Neural Networks
10. Boosting and your Database
11. Database Classification using Support Vector Machines
12. Database Structures & Machine Learning

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