DATA SCIENCE TRAINING

How should you train your workforce on Data Science?
 

To start, your workforce should have a basic understanding of Data Science.

Course I - "Introduction To Data Science" covers:
 

• Data Science Overview

• Tools and Technologies

• Data Science Lifecycle

• Data Science Solutions

• Open Source Tools

• Data Science Application in the Workplace​

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Experienced workforce members can start with Course II.

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Course II - "Intermediate Data Science" covers:

• Introduction to R

• Data Gathering and Loading

• Understanding Your Data

• Data Visualization 

• Structuring Data for Predictive Modeling​​
   

*Attendees are encouraged to bring their own data sets for real-time
course application.

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Course III (Topical) - This level of training is provided on individual advanced topics that the Data Scientist can choose as needed.   

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Advanced Topics include:

• Predictive Modeling 

• Machine Learning 

• Artificial Intelligence

• NLP, Social and Text Mining

• Marketing Analytics

• Anomoly Detection

• Neural Networks

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Tailored Courses - In addition to standard training, tailored courses are also available to meet very specific training requirements.  

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