Data Science with Python: Complete Guide To Understanding Data Analytics And Data Science With Python Programming

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.

• What data science is and why we need to learn and apply it in daily life
• The different types of data scientists we have
• The requirement and tools for data science
• The difference between data science and business intelligence
• The lifecycle of data science
• The components of data science
• How data science is being used today
• How to set up the Python environment in Linux, Mac and Windows
• How the Anaconda environment looks and works
• Basic Python concepts to refresh your mind
• How to work with Python for data analysis
• How 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