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Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.

There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.

This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist.

In this book, you will:

• Learn what data science is about.
• Discover the difference between data science and business intelligence.
• Explore the tools required for data science.
• Find out the technical and non-technical skills every data scientist must have.
• Figure out how to create a visualization of the data set with clear and easy examples.
• Get advice on developing a Predictive Model Using R.
• Uncover detailed applications of data science.

And much more!

Buy it right now!