Free eBook: Top Programming Languages for a Data Scientist

Last updated on Oct 23, 201914794
ebook
  • Reasons to Learn Different Programming Languages
  • Overview of the 10 Most Essential Data Science Programming Languages
  • Features and Applications of the Top 10 Programming Languages in Data Science
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About the E-book

The job market in the IT sector has been continuously growing. And from the many surveys that are conducted every year, it is evident that in its current state, the IT industry has an insatiable appetite for programmers, coders, hackers, developers, and computer scientists.

In the digital age, we now live in. However, many IT jobs require a solid grasp of a programming language, and sometimes more than one. And programming tops the list of skills that are the most sought-after in the IT industry. If you’re trying to advance in your career or change careers completely, and you realize you need to master a programming language, you might wonder which one to learn. 

Several considerations come into play when making your decision, like the difficulty level you’re willing to take up, the skills you already possess that might align with a language, and your reasons for learning a programming language. Whether you want to develop a mobile application, get a certification for programming knowledge, or learn new skills, you need to choose the right programming language to learn. In this eBook, you’ll find ten popular and significant programming languages that are in demand right now. For each, you’ll find a little about the language and the complexity involved in learning it, as well as how it is used, and which language you should start with. 

  • Java
  • Python
  • Ruby
  • SQL, and more...

Download this Data Science eBook to understand the applications and features of different Data Science programming languages, which will help you figure out which is the best programming language for your Data Science career goals.

Curious and can’t wait to get ahead? Download your copy now!

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