Apply for 2015 Summer Data Jam

By Chris Orwa
Data Science Lab
  Published 19 May 2015
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iHub Research's Data Lab will be conducting its third annual Summer Data Jam from the 29th of June 2015 through to 7th of August 2015. If you are passionate about Data Science, here's  your chance to learn from industry experts.  This year’s edition features an intensive and immersive R course for beginner and intermediate data scientists/statistical analysts. Get embedded in a start-up during the period of the course and translate classwork to solutions for companies. Prerequisites for Participation:
  • Students should have their own laptop
  • Students should have done a form of advanced statistics course (Calculus, Probability and Statistics courses taken that are equivalent to 2nd year university level)
  • Students should have some experience in programming (C++, R, Python e.t.c.)
  • Students should show commitment and enthusiasm!
Course Outline
  • Week 1 - Introduction to R
  • Week 2 - Processing Data in R
  • Week 3 - R and Statistics
  • Week 4 - Building Applications in R
  • Week 5 - Presentation in R
Download Full Course Outline We are seeking ambitious and driven students to improve their skills in this area. Working in conjunction with the iHub research team, students will learn how to be critical and analytical.We have a team of dynamic mentors, tutors and guest speakers lined up.

Fee Structure:

The total cost of participating in this data science jam is Ksh. 10,000, part of which will be refundable upon successful completion of the course. This fee will go towards covering the cost of learning materials and meals for participants during the course.

If you are interested in joining this course, kindly send a short resume/CV and an accompanying motivation essay (450 words or less) telling us why you are interested in a career in Data Science to [email protected]by 20th June 2015. Classes will run from2:00 pm to 4:00 pm on weekdays.

At the end of the six weeks, students will receive a certificate of completion.
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