## Book description

Data analytics may seem daunting, but if you’re familiar with Excel, you have a head start that can help you make the leap into analytics. *Advancing into Analytics* will lower your learning curve.

Author George Mount, founder and CEO of Stringfest Analytics, clearly and gently guides intermediate Excel users to a solid understanding of analytics and the data stack. This book demonstrates key statistical concepts from spreadsheets and pivots your existing knowledge about data manipulation into R and Python programming.

With this practical book at your side, you’ll learn how to:

- Explore a dataset for potential research questions to check assumptions and to build hypotheses
- Make compelling business recommendations using inferential statistics
- Load, view, and write datasets using R and Python
- Perform common data wrangling tasks such as sorting, filtering, and aggregating using R and Python
- Navigate and execute code in Jupyter notebooks
- Identify, install, and implement the most useful open source packages for your needs
- And more

## Publisher resources

## Table of contents

- Preface
- 1. Foundations of Exploratory Data Analysis
- 2. Foundations of Probability
- 3. Foundations of Inferential Statistics
- 4. Correlation and Regression
- 5. The Data Analytics Stack
- 6. First Steps with R for Excel Users
- 7. Data Structures in R
- 8. Data Manipulation and Visualization in R
- 9. Capstone: R for Data Analytics
- 10. First Steps with Python for Excel Users
- 11. Data Structures in Python
- 12. Data Manipulation and Visualization in Python
- 13. Capstone: Python for Data Analytics
- 14. Conclusion and Next Steps

## Product information

- Title: Advancing into Analytics
- Author(s):
- Release date: October 2021
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492094326

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