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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 May 2017 and includes the following dates:

Day 1: May 16, 2017 - Training: The Ipython Stack
Day 2: May 30, 2017 - Hackathon: Web development with Flask and Postgres as a Backend
Day 3: June 20, 2017 - Training: Probability Stack
Day 4: June 27, 2017 - Hackathon: Solve Multi-Armed Bandit Problems
Day 5: September 5, 2017 - Training: Machine Learning
Day 6: September 19, 2017 - Hackathon: Create a Predictive Model, wrap it in an API and put it into Production
Day 7: October 3, 2017 - Training: Ensembles & Neural Networks
Day 8: October 31, 2017 - Hackathon: Use Different Methods to Recognize Handwritten Digits
Day 9: November 14, 2017 - Training: Time series
Day 10: November 28, 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.

 

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