How To: Become an In-Demand Data Scientist with 140+ Hours of Training

Become an In-Demand Data Scientist with 140+ Hours of Training

The overarching and expanding field of data science and analysis has become virtually inseparable from areas such as programming and development.

As the driving force behind web development and marketing, engineering, white-hat hacking, and even finance, large-scale data analytics can be found at the heart of today's most exciting and important tech industries and platforms.

So if you want to become a truly successful programmer, developer, or cybersecurity specialist, you'll need to have a detailed understanding of how to use the world's most popular data science languages and platforms. The 2020 All-in-One Data Scientist Mega Bundle is here to help for just $39.99 — a tiny fraction of its MSRP for a limited time.

This massive training bundle boasts over 140 hours of content and training on analytics, RPA, machine learning, Tableau, and more — all through an award-winning instructional platform that's been designed by industry insiders with years of experience under their belts.

Through courses that are easy to follow on any device with an Internet connection, this bundle starts with a broad introduction to the latest methodologies and applications of data science before walking you through its most relied-upon tools and tactics.

You'll learn how to gather and analyze massive sets of data using R, create powerful machine learning platforms and infrastructures with Python, use Tableau to build detailed data visualizations and intelligence tools, and much more.

Several courses cover a wide range of topics on robotics and artificial intelligence — two interconnected fields that stand at the forefront of the world's most significant innovations.

Gain access to a massive trove of material that will help you become an in-demand data scientist with the 2020 All-in-One Data Scientist Mega Bundle for just $39.99 — over 95% off its usual price for a limited time.

Prices are subject to change.

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Cover image by TheDigitalArtist/Pixabay

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