Start a new career in data science with these online classes

Change your career and change the world.

Every time you do something online — whether it’s shopping, searching Google, downloading apps, or more — leaves a trail of data that’s rife with patterns and trends. The trick is being able to sort through it all. That’s too big of a job for just Dave the data guy, and thus, the importance of data science teams has exploded in recent years.

It’s really no surprise that data science is quickly emerging as one of the fastest growing fields out there — and skilled analytics professionals, who know how to use tools to cull meaning out of large data sets are in great demand across nearly every single industry. You could break into this lucrative and rewarding field too with this Complete Data Science Certification Training Bundle.

If you’ve got an affinity for numbers, love solving business problems, or just want to explore a potential new career, this training is for you. It’s designed to build all the technical and conceptual skills required to succeed in an analyst role, including how to leverage R programming, Hadoop, Python, and Tableau — some of the most important tools for today’s data scientists.

There are more than 85 hours of content that you can access anytime you’d like, 24 hours a day. That means you can learn at your own speed, and get a refresher on tough lessons ranging from data mining, exploration, visualization and hypothesis testing, to linear and logistic regression, cluster analysis, and forecasting. In short, it’s the stuff you need to know to develop actionable insights out of a massive cluster of numbers, impressing your current boss (or a new employer).

This best-selling Complete Data Science Certification Training Bundle is $49, or 92% off the usual price of $699. Plus, you can get it for an additional 17% off the sale price before the year ends with code: BESTOF17.

[“source=mashable”]

Loknath Das
Author

Loknath Das

Leave a Reply

Your email address will not be published. Required fields are marked *