TSoM Canada | Diploma in Data Analytics Co-op

Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance. Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance.

Created by Created by TSoM Canada Last updated Fri, 02-Dec-2022  English

TSoM Canada | Diploma in Data Analytics Co-op

Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance. Learn how to analyze data using cutting-edge technology or traditional methods to drive proactive decision-making and optimize business performance.

Created by Created by TSoM Canada Last updated Fri, 02-Dec-2022  English

Program Overview

Description

This one-year program, Diploma In Data Analytics Co-op, is powered by AWS Educate, Tableau and Perlego.  It will help you to develop the in-demand skills and knowledge needed to analyze data and drive decision-making to improve business performance.

This program qualifies for Second Career funding.

Duration: Full-time: Academic: 24 weeks in class and 12 weeks of co-op Total length: 52 weeks including scheduled breaks

Start Dates: Blended Learning May 2, 2022; September 6, 2022

Class time: Daytime

What you'll learn

  • Use the skills gained to enhance the quality and usefulness of data analytics by drawing from both the cutting-edge technology of automated data collection as well as traditional methods to enable the development of methodologically-sound approaches
  • Enhance your knowledge of theoretical concepts and practical applications of data auditing, handling and collecting as well as the accurate tools for this and for effective decision-making
  • Gain practical experience in handling and analyzing data to gain informative and useful insights using analysis software such as Structured Query Language (SQL) and SAS while continuously learning the theoretical concepts in handling and designing data
  • Learn to use specialist data visualization packages and tools such as Tableau, Qlik Sense and D3 to visualize datas
  • Acquire knowledge to use R, the leading programming language in data science and statistics
  • Understand the concepts of, and recognize the importance of professional conduct, and develop and implement strategies to promote professional competence.

Graduates of this diploma can consider career opportunities under NOC 2172 which includes positions such as:

  • Data analyst
  • Database analyst
  • Data mining analyst
  • Data warehouse analyst

Curriculum

Curriculum for this course
6 Lessons
MODULES
5 Lessons
  • Data Design
  • Data Handling and Decision Making
  • Working with Data using SAS and SQL
  • Data Visualization and Interpretation
  • Work Placement
₹757300
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