From statistical theory to production-grade machine learning - this intensive, project-driven programme equips you with the skills, tools and professional portfolio to land a data science role in a competitive market.
NumPy, Pandas, Matplotlib, Seaborn - the core Python data stack, from data wrangling through to publication-quality visualisation.
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Statistics & Probability
Hypothesis testing, regression analysis, Bayesian inference and experimental design - the statistical rigour that separates great data scientists from the rest.
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Machine Learning
Supervised, unsupervised and reinforcement learning algorithms - implemented, evaluated and interpreted using scikit-learn and real-world datasets.
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Deep Learning & Neural Networks
TensorFlow and PyTorch fundamentals - image classification, NLP, sequence modelling and transfer learning applied to practical business problems.
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ML Engineering & MLOps
Model deployment, monitoring, versioning and CI/CD for ML - building systems that work reliably in production, not just in notebooks.
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Capstone Projects
Three industry-sponsored data science projects that demonstrate your ability to deliver end-to-end solutions - from problem framing to model deployment to business impact presentation.
Programme Details
Duration16 weeks
LevelBeginner–Advanced
FormatOnline & In-Person
CertificationIBM Data Science, AWS ML Specialty pathway
We deliver this programme as a bespoke in-house course for teams of five or more, customised to your specific technology environment and business context.
Common Questions
FAQs
Do I need prior experience to join?
Some prior experience in a related field is beneficial. We recommend reviewing the prerequisites on our contact form or speaking with our training advisors before enrolling.
Is the training available online?
Yes - all our programmes are available fully online with live instructor-led sessions, or as hybrid in-person/online options at our Saskatchewan training centre.
What support is available during the programme?
Enrolled students have access to a dedicated tutor, an online community of fellow learners, and recorded session replays for the duration of the programme.
What happens after I complete the training?
Graduates receive a Jegsplus Solutions certificate of completion alongside preparation support for the relevant industry certification exams. Our careers team also offers CV review and interview coaching.
Data Lab
Master the tools driving data-driven decisions
Data visualisation and dashboard creation
Python and machine learning workshops
Statistical analysis and predictive modelling
Ready to enrol in Data Science Training?
Our training advisors will answer your questions and help you find the right start date - contact us today.
