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McGill SCS Professional Development Certificate in Data Science and Machine Learning
This practical program aims to equip professionals with essential data science and machine learning knowledge and skills needed for a career as a data analyst, machine learning practitioner, or a junior data scientist. Participants have an opportunity to work through all the phases of a complete data science pipeline with structured and unstructured data, formulate a business need or problem into a data science project and select the proper tools and algorithms needed. Focus is placed on interpreting and effectively communicating data insights by using data visualization and storytelling techniques to translate data into business-specific knowledge.
Type: Professional Development Certificate Courses: 5 Schedule: Part-time Time: Evenings/ some Saturdays Delivery: Online Unit: Technology & Innovation Questions? info.conted [at] mcgill.ca
Message From the Academic Program Coordinator
We are thrilled to introduce to you the Professional Development Certificate in Data Science and Machine Learning. This program is meticulously crafted to equip you with the skills and expertise necessary to thrive in today's data-driven world.
In this program, you will gain an understanding of the fundamental principles and techniques of data analysis, data science, and machine learning. The curriculum covers a wide range of topics, including data analysis, predictive modeling, data visualization, and the utilization of machine learning algorithms. You will also work hands-on with cutting-edge tools and technologies, such as Python, and popular data analytics platforms.
One of the key advantages of this part-time program is the flexibility it offers. We understand the demands of your professional life, which is why the Professional Development Certificate in Data Science and Machine Learning is designed to accommodate your schedule. Whether you are a working professional looking to enhance your skills or an individual with other commitments, the program’s schedule allows you to pursue your education without putting your career on hold.
Join us on this transformative learning journey, where you will receive personalized support from our expert course lecturers and have access to valuable resources and networking opportunities. You will also have the opportunity to learn from and interact with experts in the field. This will allow you to gain a competitive edge and open doors to diverse career paths across industries such as finance, healthcare, marketing, and more.
We look forward to welcoming you to the Professional Development Certificate in Data Science and Machine Learning and witnessing your growth and success!
MBA, CBDA, Academic Program Coordinator, Data Programs
- Real World Application
In the program, you will engage in hands-on projects and collaborate with cross-functional teams, applying your newly acquired skills in data science and machine learning to solve real-world problems.
This practical experience will enable you to translate your learnings into actionable insights that drive informed business decisions.
- Comprehensive Toolset
This program is focused on the technical aspects and utilizes Python as the primary programming language. Additionally, as a registered student, you will gain complimentary access to industry-leading sites such as DataCamp for the duration of the program; and tools such as Tableau Desktop, and Alteryx Designer for different courses.
These tools empower you to work efficiently and effectively, utilizing cutting-edge technologies in data science and machine learning.
- Data Interpretation and Communication Skills
In this program, you will not only develop strong technical skills but also hone your ability to interpret and effectively communicate data insights.
- Networking Opportunities
Connect with like-minded individuals in the field of data science and machine learning, fostering new networks and collaborations. Engage in discussions, share experiences, and gain valuable insights from peers and industry experts, expanding your professional connections and staying abreast of the latest developments in the field.
Who Should Attend
Designed for those seeking a comprehensive understanding of data science principles, this program covers advanced topics such as predictive modeling, and data-driven decision-making, equipping learners with the technical programming skills to solve complex data problems.
You should attend this program if you are seeking to acquire essential technical data science and machine learning knowledge and skills or if you are pursuing a career as a: data analyst, data engineer, data journalist, machine learning practitioner, or data scientist.
The program is designed to enable you to:
- Demonstrate solid understanding of relevant statistical, mathematical concepts and computational tools.
- Apply essential data science tools to ingest, clean, process and analyze various large data sets using batch and streaming modes.
- Work through all the phases of a complete data science pipeline with structured and unstructured data.
- Test and evaluate different machine learning techniques and learn how to select the proper one to solve a business problem.
- Formulate a business need or problem into a data science project and select the proper tools and algorithms needed.
- Interpret and effectively communicate data insights by using data visualization and storytelling techniques and translate them into business-specific knowledge.
You can assess your level of Python proficiency through any of the following online tests:
Students without prior knowledge of Python should complete at least one of the following courses, or similar:
YCBS 256 Data Science for Business Decisions (8 CEUs)
YCBS 255 Statistical Machine Learning (8 CEUs)
YCBS 257 Data at Scale (9 CEUs)
YCBS 258 Practical Machine Learning (9 CEUs)
YCBS 299 Data Science Capstone Project (9 CEUs)
This program is offered online.
Online classes offer a flexible learning solution for professionals, allowing you to keep learning while you work on your career.
- Bachelor of Engineering (B.Eng.)
- Bachelor of Science (B.Sc.)
- Bachelor of Commerce in MIS (B.Com MIS)
- Bachelor degree in another field and completed the course YCBS 286 – Introduction to Data Analytics with Python
Applicants may also be considered if:
- They do not meet the above criteria but have extensive and relevant experience in software programming or data analytics and have previously completed relevant coursework in calculus, statistics, or computer science will be evaluated on a case by case basis.
- They are 21 years of age or older
Machine learning brings a new paradigm to how we look at business issues. It is about identifying patterns, making predictions, and providing companies and organizations with the valuable foresight needed to develop strategies and solutions that are grounded in data.
Data science and machine learning are fast becoming recognized as the present and future of computational problem-solving. They provide essential solutions for businesses wanting to stay competitive.
These advancements are happening whether businesses are ready for them or not, so it is important to stay ahead of the curve to give your organization an edge in the market.
Technology is constantly evolving and changing the workplace as we know it. If you are seeking data science knowledge to apply to your profession or to transition into a new career, the Professional Development Certificate in Data Science and Machine Learning gives you comprehensive and practical skills you can start applying immediately to any position and industry.