Data Science And

Program Description

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 modeling 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.


Throughout the program, you’ll delve into a diverse range of topics, from statistical analysis and data manipulation to predictive modeling and data ethics. Guided by experienced instructors, you’ll develop proficiency in programming languages such as Python and R, and gain insights into extracting meaningful insights from large datasets.

PTIB Approved

Data Science and Analytics Diploma was reviewed and approved by the registrar of the Private Training Institutions Branch (PTIB) of the Ministry of Post-Secondary Education and Future Skills.

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* For full tuition breakdown please contact us

46-Week Data Science and Analytics Program

DSA101 Relational Database Design

DSA102 Fundamentals of Analytics

DSA103 Predictive and Prescriptive Analytics

DSA104 Neural Networks, Deep Learning and Big Data

DSA105 Introduction to Python Programming

DSA106 Intermediate Python Programming Techniques

DSA107 Advanced Python Programming Techniques

DSA108 Python for Data Science

DSA109 Introduction to Project Management

DSA110 Career and Employment Skills

* For full credit breakdown please contact us

1.  Is the program focused on specific applications of data science?

The program covers a wide range of data science topics, including statistical analysis, machine learning algorithms, data visualization, and business intelligence. You'll gain a well-rounded understanding of various aspects of data science and its applications.

2. How hands-on is the program? Will I be working with real datasets?

Absolutely, the program includes hands-on projects that involve working with real datasets. You'll analyze data, build models, and create visualizations using industry-standard tools and techniques.

3. How does the program stay updated with the latest data science trends?

The program is designed to stay current with the latest trends and technologies in data science. You'll learn about emerging tools, techniques, and best practices that are relevant in today's data-driven world.

4. Can I continue my education after completing this program?

Certainly, this program can serve as a foundation if you're considering further education in data science, computer science, or related fields. It's also a strong starting point for individuals looking to build a portfolio and transition into a career in data science and analytics.

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