Data Engineer Bootcamp

4 out of 5
4
6 reviews
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Data Engineer Bootcamp

Businesses need to manage the data they generate to meet business goals successfully. The huge quantum of unstructured data needs to be cleaned, structured, and maintained. This is where Data Engineers step in and help organizations leverage data-driven insights to optimize business performance with their expertise in Big Data technologies. 

KnowledgeHut’s Data Engineer Bootcamp will make you an expert in dealing with raw data by making you proficient in a range of data engineering topics. These include Data warehousing, Linux, Python, SQL, Hadoop, MongoDB, Big Data processing, Big Data security, AWS and more. You’ll also become industry ready by learning how to design and create databases, capture and analyze data, and prepare data models. By the end of this Data Engineer Certification, you’ll be able to handle complex business problems in the Data Engineering space.

  • 120 Hours of Instructor-led Sessions
  • Immersive Learning with 230+ Hands-on Exercises
  • Create a Job-Ready Portfolio with 10+ Capstone Projects
  • 289 Hours of E-Learning Material
  • 12+ Real-World Case Studies
  • Weekly Doubt-Clearing Sessions with Mentors

Starting Course

1
Nvidia New Technologies Slides
2
Quiz: Mobile / Native Apps
5 questions

After Intro

1
Realistic Graphic on UE4
2
Volta GPU for optimization.
3
Deep Learning
Faq Content 1
Faq Content 2

Productivity Hacks to Get More Done in 2018

— 28 February 2017

  1. Facebook News Feed Eradicator (free chrome extension) Stay focused by removing your Facebook newsfeed and replacing it with an inspirational quote. Disable the tool anytime you want to see what friends are up to!
  2. Hide My Inbox (free chrome extension for Gmail) Stay focused by hiding your inbox. Click "show your inbox" at a scheduled time and batch processs everything one go.
  3. Habitica (free mobile + web app) Gamify your to do list. Treat your life like a game and earn gold goins for getting stuff done!


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Enrolled: 34 students
Duration: 10 hours
Lectures: 4
Video: 9 hours
Level: Advanced

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