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Big Data Analytics

Step 1. Collect Data

Step. 2. Collect lots and lots of data

Step 3. Learn the basics of big data analysis with this 4-week program and sift through that data to highlight hidden trends.

 

What you will learn in Big Data Analytics

icn-ruby-gems@2x Defining and collecting large data sets

The process of gathering and measuring data, information or any variables of interest in a standardized and established manner that enables the collector to answer or test hypothesis and evaluate outcomes of the particular collection.

icn-link@2x Data Manipulation

Data manipulation is the process of changing data to make it easier to read or be more organized.

icn-web-design@2x Machine Learning

A method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Upcoming Courses

4 weeks
$2,200
Part Time
Tech Talent South | Part time coursesPart time
Remote,
May 26 - Jul 28
Tuesday & Thursday
6:00 pm - 9:00 pm
Apply Now
Tech Talent South | Part time coursesPart time
Remote,
Jun 30 - Aug 20
Tuesday & Thursday
6:00 pm - 9:00 pm
Apply Now
Tech Talent South | Part time coursesPart time
Columbus, Ohio
Aug 03 - Aug 26
Tuesday & Thursday
6:00 pm - 9:00 pm
Apply Now
Tech Talent South | Part time coursesPart time
Raleigh, North Carolina
Oct 06 - Oct 29
Tuesday & Thursday
6:00 pm - 9:00 pm
Apply Now
Tech Talent South | Full time coursesFull time
Hartford, Connecticut
Oct 19 - Jan 20
Monday - Friday
8:00 am - 5:00 pm
Apply Now

Course not available in the city at this time.

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See what former Big Data Analytics students are up to:

Brian 2015 Reporting Manager Ally Financial
Luke 2015 Software Analyst 2ULaundry
Jhonathan 2015 Sr. Director, Managed Account Services TIAA

Don't take it from us.
Take it from them

"The efforts that go into student acceptance selection and course delivery ensure you're sitting beside individuals that are just as excited about learning the content as you are."

Harrison, Former Student

"Beyond the course itself, I loved the community atmosphere that is created and upheld by the staff and alumni. I had so many opportunities to meet with potential employers as well as network with other new developers. To me, this type of community allows me to stay connected and make the most of my course!"

Jessica, Former Student

"The curriculum is fast paced and challenging with extra office hours available to those who need extra help. Along the way I have discovered that I really enjoy the problem solving involved in programming and believe that technology can affect great change in the community."

Jimmy, Former Student

"The knowledge my instructor passed on to me about the Tech Industry and software engineering has been invaluable. We didn't just learn HOW to do things, he taught us WHY and he also taught us WHAT the industry standard is at major corporations."

Dane, Former Student

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