Data Analytics: 4 Manuscripts: Data Science for Beginners, Data Analysis with Python, SQL, Statistics for Beginners

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Data Analytics 4 Manuscripts Data Science for Beginners, Data Analysis with Python, SQL, Statistics for Beginners
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Data Analytics: 4 Manuscripts: Data Science for Beginners, Data Analysis with Python, SQL, Statistics for Beginners



English | 2020 | 481 Pages | PDF, EPUB, AZW3 | 8.28 MB

Master the Skills of Data and Statistical Analysis, and Become a Top-Notch Python and SQL Expert!

Do you want to know the secret behind the success of the huge business moguls, such as Facebook and Netflix?

Are you aware that you can implement their data analysis strategies in your company or business to make it more successful and competitive?

This bundle will provide you with everything you need to know to start conducting successful data analysis. It will guide you through every step of this application, from gathering the data, processing it, and extracting information and using it for smart decision making.

It’s easy to get lost in the amount of available sources if you’re only getting started with this subject. Wouldn’t it be nice if all the information you need can be found in one place?

Well, they can!

With this bundle, you’ll master the Python Programming Language, SQL language, and statistical and data analysis.

But that’s certainly not everything.
Here’s what else you get:



A detailed introduction on data science, its applications, and fields of study
A guide on tools and techniques used by data scientists
An easy to understand guide on data analysis
Information about the concepts behind Python programming
A guide on how to use Python libraries such as Pandas and NumPy for data analysis
Instructions on how to create the right analytical algorithm for predicting the market trends
A list of the Python Data types
Instructions on how to use the Python language and code
A step-by-step guide on Object-oriented programming (OOP) and mind mapping
Instructions on how to start using data science in your company or business
A guide on programming languages used in data science
A guide on writing SQL codes
A guide on how to use predictive analytics techniques to turn data into valuable information
Instructions on database normalization for maintaining data integrity
A guide on using Python for files manipulation and handling
Information about how to protect your work from database hackers
Tips for fine-tuning and optimizing your databases
And much more!

If you have any more doubts about whether you should learn these skills, you should only remember that the majority of well-paid jobs on the job market require one of these skills. Even if you’re not a business owner, you can use this bundle to upgrade your skills, have your pick among the best employers and reach your full potential!



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Data Analytics: 4 Manuscripts: Data Science for Beginners, Data Analysis with Python, SQL, Statistics for Beginners


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