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Core skills

Applying your math and computing skills to make meaning out of large data sets

Learning how to manipulate big data by using various toolsets such as Hadoop & AWS

Learning how to make predictions about data using fundamental modeling techniques that will help you make better informed business decisions

Unit 1: The Basics of Data Science

  • Introduction to Data Exploration
  • Introduction to Machine Learning

Unit 2: Fundamental Modeling Techniques

  • K-Nearest Neighbors Classification
  • Naive Bayes Classification
  • Regression & Regularization
  • Logistic Regression
  • K-Means Clustering

Unit 3: Further Modeling Techniques

  • Machine Learning in Python
  • Ensemble Techniques
  • Decision Trees & Random Forests
  • Support Vector Machines
  • Dimensionality Reduction
  • Recommendation Systems

Unit 4: Other Tools

  • Database Techniques
  • Social Network Analysis
  • Map-Reduce
  • Where to Go Next
  • Final Project Presentations

For More information, or to enrol simply request a Free information pack or enquire below.





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