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Interactive Data Analytics Workshop

Date
August 15, 2016 - August 19, 2016
Time
9:30 AM EDT - 4:30 PM EDT
Location
TRS 2-006 (Computer Lab)
Contact
Mohamed Elmi, Project Coordinator at mohamed.elmi@torontomu.ca

5-Day Data Interactive Analytics Workshop

The Institute for Innovation and Technology Management is pleased to announce an Interactive Data Analytics Workshop, an intensive, week-long bootcamp held in a fully equipped computer lab at the Ted Rogers School of Management to facilitate hands-on learning. Attendees will have the opportunity to gain theory and concepts in the first half of the day and practice these learned concepts in the afternoon through hands-on, experiential learning utilizing real-life examples and guided by trained course facilitators.

This workshop is for anyone who is interested in finding ways to understand their organization’s data; learn data-driven decision making; gain insight into new awareness about clients, products, and operations. After the workshop, you will learn skills that will help you in Performance, Predictive Sentiment Analytics.

$995 + HST

$495 + HST (Full time Ryerson Students)

Data Analytics Theory and Key Applications for Business Analytics

  • Data Management, Retrieval and Cleaning
  • Extract Data with Tabula
  • Manage Data with Microsoft PowerBI
  • Shape Data with Excel Power Query
  • Data Visualization and Data Presentation

Performance Analytics

  • Benchmarking
  • Data Envelopment Analysis
  • Relative Efficiency and Scale Size
  • Measuring Learning and Productivity Gains

Predictive Analytics

  • Basic Concepts of Statistical Learning
  • Learn IBM SPSS, Salford SPM, and other software
  • Big Data Mining through Machine Learning
  • Supervised and Unsupervised Learning
  • Basic Concepts of Regression Trees

Sentiment and Text Analysis

  • Extract Insight from Customer Reviews and Comments
  • Gain Insight from Large Text Data

Admission Criteria

There are no academic prerequisites for enrolment. However, a basic understanding of high school math is a necessity.

Please note this is a non-credit workshop.

Cancellation Policy

If you decide to drop a class, it is your responsibility to inform the course administrator through email (mohamed.elmi@torontomu.ca) by August 10, 2016. There will be no refunds after this date.