Craig Berg

Data Science with Python Craig Berg

You Are About To Venture Into The World Of Data Science With Confidence By Learning The Ins And Outs Of Data Science With Python!


Are you a practicing or aspiring data scientist who's been wondering;

What's the best language for a data scientist's rigorous work?

Is there one that is also easy to understand and learn, and easy to use for the less technically-inclined person?

...and one that also builds better analytics tools?

If you've been having those questions, you've clearly been looking for Python.

Individual data scientists and data science consulting companies are increasingly adopting Python as a programming language of choice, as they realize its amazing features like large sets of libraries and unique capabilities in handling big data. The fact that it' also a language that you can easily integrate with other programming languages, and it's easily scalable and future-oriented makes it particularly valuable and practical for data science.

As a new data scientist, you'd find it easy to use it because of its simple syntax, excellent readability and its increased availability of mining tools that make it easy to handle data.

But how would you get started with it?

How do you work with it?

How do you set it up?

If you still have such questions, then this book is all you need. It gives you the ins and outs of python as a data science solution, including how you can set it up, use it and what you need to get started.

Here's a bit of what you can expect to learn from it:
What data science is and why we need to learn and apply it in daily lifeThe different types of data scientists we haveThe requirement and tools for data scienceThe difference between data science and business intelligenceThe lifecycle of data scienceThe components of data scienceHow data science is being used todayHow to set up the Python environment in Linux, Mac and WindowsHow the Anaconda environment looks and worksBasic Python concepts to refresh your mindHow to work with Python for data analysisHow to work out data visualization with Matplotlib and Seaborn

... And much more!

Are you ready to enjoy data science more by achieving better insight, understanding patterns and correlating data from big datasets?

Do you want to be able to develop machine learning models, web services, data mining, classification and so much more, while solving problems end to end effortlessly and within an incredibly short duration?

If you do, then this simple, straightforward and comprehensive beginners' book will help you get there in just a few hours!

Even if the concept of data science seems too complex and out there right now, this book will break the topic using simple, straightforward language that you can start using right away to your advantage!

Scroll up and click Buy Now With 1-Click or Buy Now to get started!