- eBook:DATA ANALYTICS: Simple and Effective Tips and Tricks to Learn Data Analytics Effectively
- Author:Benjamin Smith
- Edition:2 edition
- Data:August 23, 2020
- Pages:115 pages
We have also focused on Python for Data Analytics and the advantages. Important Python libraries like Pandas, NumPy, Matplotlib, and IPython have been discussed in detail. You learn about the Software Development Tools used in IPython for Data Analytics, NumPy features, and Data Processing using Arrays. Topics like Pandas data structures, indexing, filtering, data alignment, dataframe, series, sorting, and ranking will help you understand data analytics easily.
A special focus has been given on NoSQL for Data Analytics as it plays a very important role. Various types of NoSQL databases and their features have been included in this book along with how to perform text data analytics. Since the world is moving towards Big Data, we have also covered it for you. You will find more about Descriptive Analytics and Predictive Analytics along with the seven steps for Data Analytics.
This book covers the Statistical Models and parameters like AR, Kalman regression, selection bias, and more. You will also learn the latest tools used in Big Data Analytics. Important Data Visualization Techniques are included in the book with a special focus on various types of charts for visualization.
Chapter 2: Introduction to Python for Data Analytics
Chapter 3: Introduction to IPython
Chapter 4: Introduction to NumPy
Chapter 5: The Basics of the Pandas
Chapter 6: NoSQL for Data Analytics
Chapter 7: Insight into the Future of Data Analytics
Chapter 8: Data Analytics Tips and Tricks In-Depth Explanation
Chapter 9: Types of Data Analytics Visualizations
Chapter 10: Exploratory Data Analysis
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