Dive into Deep Learning & Data Analysis With These Expert-Led Classes

StackCommerce

Jack Dunhill 06 Jan 2021, 15:58

There are plenty of reasons to brush up on your data analytics skills in 2020, from helping you better understand your business to securing a good salary in a growing industry, but these unprecedented times have put a halt on in-person education. Don't let social distancing put a damper on your ever-evolving need to learn with the Deep Learning & Data Analysis Certification Bundle.

More than just a study in data analytics, this online training also focuses on deep learning technology, which can take the data you gather and use it to more accurately predict the future. These in-demand skills can help you land a better job or make you a better candidate for promotion in nearly any economy.

Over about 325 different lessons in 8 courses, you'll cover topics including H2O framework for data analysis, visualization, statistics, deep learning, machine learning, regression modeling, business data, and more. 

Some of the perks of running through the Deep Learning & Data Analysis Certification Bundle are that you will be well-versed in Python data and PyTorch, be able to implement and infer Ordinary Least Square (OLS) regression using R, know important concepts of machine learning without the jargon, and connect to different analytic tools such as Youtube Analytics & Google Ads. 

The 30 hours of coursework, spearheaded by the bestselling instructor and data scientist Minerva Singh, includes lifetime access, so you can go at your own pace and retrace any lessons that didn't quite click. Sure, you can go to grad school for an MBA in applied data science or business analytics, but why spend over $74,000 a year when you can study the same subjects from the comfort of your own home for around 0.0005% of the price? 

You don't need a data analysis degree to sort out that getting the Deep Learning & Data Analysis Certification Bundle valued at $1600 for $39.99 is a savings of 97%.  

Prices subject to change.

 
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