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Hands-On Data Analysis with Scala

You're reading from  Hands-On Data Analysis with Scala

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789346114
Pages 298 pages
Edition 1st Edition
Languages
Author (1):
Rajesh Gupta Rajesh Gupta
Profile icon Rajesh Gupta

Table of Contents (14) Chapters

Preface 1. Section 1: Scala and Data Analysis Life Cycle
2. Scala Overview 3. Data Analysis Life Cycle 4. Data Ingestion 5. Data Exploration and Visualization 6. Applying Statistics and Hypothesis Testing 7. Section 2: Advanced Data Analysis and Machine Learning
8. Introduction to Spark for Distributed Data Analysis 9. Traditional Machine Learning for Data Analysis 10. Section 3: Real-Time Data Analysis and Scalability
11. Near Real-Time Data Analysis Using Streaming 12. Working with Data at Scale 13. Another Book You May Enjoy

Summary

Statistics play an important role in the data analysis life cycle. This chapter provided an overview of basic statistics. We also learned how to extend basic statistical techniques and use them on data that is represented as vectors. In the vector bases stats, we got some insights into how weights could significantly alter statistical outcomes. We also learned various techniques for random data generation, and, finally, we took a high-level view of how to perform hypothesis testing.

In the next chapter, we will focus on Spark, a distributed data analysis and processing framework.

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