Python for Data Analysis: Learn The Principles of Data Analysis and Raise Your Programming IQ. Improve Your Machine Learning Experience and Beco

IF YOU REALLY WANT TO DISCOVER THE SECRETS BEHIND PYTHON DATA SCINCE, THEN KEEP READING...

Data analysis plays an important role in many aspects of life today. From the moment you wake up, you interact with data at different levels. A lot of important decisions are made based on data analytics. Companies need data to help them meet many of their goals. As the population of the world keeps growing, its customer base keeps expanding. In light of this, they must find ways of keeping their customers happy while at the same time meeting their business goals.

Given the nature of competition in the business world, it is not easy to keep customers happy. Competitors keep preying on each other's customers, and those who win have another challenge ahead - how to maintain the customers lest they slide back to their former business partners. This is one area where Data Analysis comes in handy.

This book covers:

- What is Data Analysis

- Python Crash Course

- Data Munging

- Why Data Preprocessing Is Important

- What is Data Wrangling?

- Inheritances to Clean Up the Code

- Reading and writing data

- The Importance of Data Visualization

- Indexing and selecting arrays

- Common Debugging Tools

- Neural Network and What to Use for?

And much more.

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