Data Science And
Analytics Program
The objective of the program is to educate students on data related programming and querying languages. The program would help them to use these programming languages to clean, query and analyze large datasets. It would develop an understanding of machine learning principles and common modelling techniques and a core understanding of both numerical and categorical models to propel business objectives. The program also provides students with useful insights into some of the popular big data tools.
This program has been approved by the Private Training Institutions Regulatory Unit (PTIRU) of the Ministry of Post-Secondary Education and Future Skills
Program Hours: Program Months: | Program Weeks:
|
46-Week Data Science and Analytics Program
20 hours – Strategies for Student Success
100 hours – Relational Database Design
100 hours – Fundamentals of Analytics
100 hours – Predictive and Prescriptive Analytics
100 hours – Introduction to Machine Learning
100 hours – Introduction to Python Programming
100 hours – Intermediate Python Programming Techniques
100 hours – Advanced Python Programming Techniques
100 hours – Python for Data Science
80 hours – Introduction to Artificial Intelligence
20 hours – Career and Employment Skills
What is data science and analytics used for?
Data science and analytics are used to analyze information, identify patterns, and help organizations make better decisions based on data.
What kind of work can you do with data science and analytics skills?
People with data science and analytics skills often work with data to support business decisions, reporting, and performance analysis across different industries.
Who is the Data Science and Analytics Diploma best suited for?
This program is a good fit for individuals who enjoy working with data, problem-solving, and learning how technology supports decision-making.
Do I need previous experience with data or programming?
No previous experience is required. The program is designed to introduce concepts step by step for beginners.
What industries hire data and analytics professionals?
Data and analytics professionals are hired across industries such as business, finance, healthcare, marketing, technology, and public services.
Upon successful completion of this program, students will demonstrate the ability to:
Understand the concept of relational databases.
Create and manipulate databases.
Understand the syntax of various programming and querying languages.
Understand the packages used for data analysis and machine learning.
Work, manipulate, and model data using programming languages.
Use various tools to build data visualizations.
Use machine-learning techniques to model and build data.
Exposure to deep learning and advanced machine learning models.
Use statistical knowledge to test the accuracy of data models.
Use and implement common big data tools.
Use and implement neural networks.
- Understand the foundations of Artificial Intelligence, including agents, algorithms, and heuristic functions.
Admission Requirements:
Students are required to be 19 years of age prior to the start of the program or possess a high school diploma (or equivalent), and provide evidence of one of the following English proficiency requirements:
Completion of grades 9–11, including English 10 with a grade of “C” or higher, from a country where English is one of the principal languages; or
Completion of 2 years of full-time post-secondary education at an accredited institution where English is the language of instruction; or
Verified results for one of the English language proficiency tests listed below (test results must be dated no more than two years before the start date of the program):
International English Language Testing System (IELTS) Academic — minimum overall score of 5.5
Test of English as a Foreign Language (TOEFL) iBT — minimum overall score of 46
Canadian Academic English Language Assessment (CAEL) — minimum overall score of 40
Canadian English Language Proficiency Index Program (CELPIP) — Listening 6, Speaking 6, Reading 5, Writing 5
Duolingo English Test (DET) — minimum overall score of 95
Pearson Test of English (PTE) Academic — minimum overall score of 43
Cambridge English Qualifications: B2 First exam (FCE) — minimum overall score of 160 or “C”
Cambridge Linguaskill — minimum overall B2 level
LANGUAGECERT Academic — minimum overall B2 level
The Michigan English Test (MET) — minimum overall B2 level
iTEP Academic — minimum overall score of 3.5
EIKEN — minimum placement of Grade Pre-1
Upon successful completion of this program, students can expect to work as:
- Data Analyst
- Junior Data Scientist
- Database Analyst
- Database Designer
- Data Visualization Analyst
Programs
