Data Science Bootcamp

4 out of 5
4
6 reviews
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Makeover Your Career with Data Science

Build analytical skills and programming knowledge as you become a confident data scientist with expert guidance in the Course Approach Data Science Bootcamp. Get the blended learning advantage with the right mix of live, instructor-led sessions and self-paced modules and work on six capstone projects that get you opportunities with the world’s top companies.

Industry experts design the Course Approach Data Science Bootcamp to help you build a thriving career with real-world skills and knowledge. You can sign up for this Bootcamp irrespective of your understanding of coding and statistical and mathematical concepts. Power your career with mentoring from experienced professionals and one-on-one sessions to clear doubts, work on 6 capstone projects, and build a portfolio that takes you places and becomes a part of an elite community of data scientists and engineers.

Main Features

  • 170+ Hrs of Live Instructor-Led Sessions
  • 400+ Hrs of Hands-on with Cloud Labs.
  • 30+ Real-World Case Studies
  • 220+ Hrs of On-Demand Self-Paced Learning
  • 6 Capstone Projects for Job-Ready Portfolio
  • Immersive Learning with 100+ Hands-On Exercises

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: 40 students
Duration: 10 hours
Lectures: 4
Video: 9 hours
Level: Advanced

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