SQ Applied Data Analytics with AI – Introduction

Requirements: No programming is required for this course, required software and tools will be provided.

Equipment Required:

  • Windows/MAC Laptop with at least 4 GB RAM and an internet connection of at least 25 Mbps.
  • Headset with a microphone and webcam.
  • Ability to communicate orally in English.
  • Ability to take a college/university-level course (undergraduate studies or equivalent work experience is ideal).

Objectives:

This hands-on course is intended for anybody wanting to learn how to turn data into actionable insights. Students will learn the principles of data exploration, cleaning, modelling and deployment using statistics and machine learning algorithms to solve real business problems.

In the first part of the class, the instructor will deliver a live theoretical and practical demonstration followed by questions from students; in the second part of the class, students will work on a specific assignment. A final project presentation might be required.

Topics Covered:

  • Intro to the Data Analytics Process (1 hr).
  • Intro to Data Types and Data Management in Python (4 hrs).
  • Visual Data Exploration & Statistical Data Analysis in Python (5 hrs).
  • Intro to Data Modelling (1 hr).
  • Classification Models in Python (5 hrs).
  • Regression Models in Python (5 hrs).
  • Performing Clustering in Python (4 hrs).
  • Group or Individual Project Coaching and Presentation (5 hrs).

By the end of this course, students will be able to:

  • Understand the data analytics process from setting up objectives to organizational deployment.
  • Explore data from several sources, including the web, excel and flat files into Python. Build and interpret standard statistical graphs including histograms, bar plots, scatterplots, line charts and boxplots.
  • Apply machine learning algorithms to regression and classification data models. Communicate key findings to a non-technical audience.
  • Before filling in the application form, please check your eligibility by clicking here .

Fall 2024

Evening Sessions

Sep 28 - Dec 05Thu

Saturday, Sep 28 - Thursday, Dec 05

DayTimeRoom Number
Thursday18:30 - 21:30Zoom - Online

Additional Information

Delivery Method: Online
Price: $130.00 plus tax
Total Hours: 30
Course Number: 9922093
Registration Start Date: Tuesday, Jul 02, 2024
Registration End Date: Friday, Dec 20, 2024
Maximum Class Size: 12
Teacher: TBA
Status: Registration for this section starts on Tuesday, Jul 02, 2024

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Last Modified: June 29, 2024