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Data Science Accelerator Program

The Data Science Accelerator Program prepares data scientists to transition organizations into data-driven enterprises. Developed by GoDataDriven to create a benchmark in the field, the program combines in-depth lectures with hands-on hackathons and propels data scientist to a higher standard of excellence.

Audience Profile Data Science Accelerator Program

You will benefit from the Data Science Accelerator Program if:

  • work as a data analyst, business analyst, developer or administrator
  • have a background in math, statistics, or other quantitative disciplines
  • have basic data science skills
  • have basic programming skills (R/Rstudio and iPython)
  • have experience with SQL and basic UNIX or Linux commands

Achievements Upon Completion

The ten-day Data Science Accelerator Program spans five months and includes five core lectures and five hackathons. Students attend one core lecture and one hackathon per month. The program focuses on sharing knowledge and development best-practices gained from extensive experience in implementing data science across dozens of industries.

You'll learn:

  • how to work with the Ipyhton stack
  • how to work with the probability stack
  • how to work with machine learning
  • how to work with ensembles and neural networks
  • how to work with time series

You’ll gain hands-on experience in:

  • web development (Flask and Pandas as backend)
  • solve multi-armed bandit problems
  • create a predictive model and put it into production
  • use tools and technology: Hadoop, Spark, R, Python, Elastic, Neo4j, Scala, Cassandra, D3, Riak, and Storm

You’ll gain the skills to:

  • develop various types of data science models
  • code reviewing your automation for nonlinear models
  • build a method that outperforms random forests

Additional Information

Training Program

The upcoming training program starts in June 2017 and includes the following dates:

Day 1: June 19, 2017 - Training: The Ipython Stack

Day 2: July 6, 2017 - Hackathon: Web development with Flask and Postgres as a Backend

Day 3: September 14, 2017 - Training: Probability Stack

Day 4: September 28, 2017 - Hackathon: Solve Multi-Armed Bandit Problems

Day 5: October 5, 2017 - Training: Machine Learning

Day 6: November 2, 2017 - Hackathon: Create a Predictive Model, wrap it in an API and put it into Production

Day 7: November 16, 2017 - Training: Ensembles & Neural Networks

Day 8: November 30, 2017 - Hackathon: Use Different Methods to Recognize Hand-written Digits 

Day 9: December 7, 2017 - Training: Time series 

Day 10: December 18, 2017 - Hackathon: Predict an optimal Portfolio for the Stock Market

Everything else you should know:

Bring your own laptop with the following requirements:

  • 2GB RAM minimum  (4GB or more preferred)
  • 15GB of free hard disk space
  • VMware Player 5.x or above (Windows)/ VMware Fusion 4.x or above (Mac)
  • must support a 64-bit VMware guest image. If machines are running a 64-bit version of Windows, or Mac OS X on a Core DUO 2 processor or later, no other test is required. Otherwise download VMware’s compatibility check tool here.
  • VT-x virtualization support enabled in the BIOS
  • 7-Zip or WinZip if running Windows XP (due to a bug in the built-in zip utility)
  • USB port accessible

Xebia Academy (based in Hilversum, Amsterdam area) is an official training partner of Cloudera, the leader in Apache Hadoop-based software and services.

http://training.xebia.com/data-science/data-science-accelerator-program