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Data Science Fundamentals Course Overview Saskatoon, SK
Gain employable skills that will enable you to analyse data, spot trends, and produce superior results.
The goal of this data science course is to assist current and future data practitioners in developing the abilities required to transform data into valuable insights and commercial value. You will get a solid foundation in statistics, data analysis, machine learning, data visualisation, and generative AI through a combination of hands-on activities, real-world projects, and practical learning. Working with data, finding trends, creating predictive models, and sharing insights that lead to better decisions are all skills you'll acquire. You will graduate from the program with the skills necessary to explore opportunities in today's data-driven economy and the confidence to apply data science concepts to real-world situations.
Data Science Fundamentals Course Highlights
Develop useful, industry-relevant skills that will enable you to use data to solve real-world issues.
Comprehensive Data Science Curriculum
Build a strong foundation in Python, SQL, statistics, machine learning, and deep learning through a structured, real-world-focused learning journey designed for modern data professionals.
Advanced Analytics & AI Technologies
Explore cutting-edge topics including Generative AI, LLMs, RAG, MLOps, Azure ML, Fabric ML, and AI-driven analytics to stay ahead in the rapidly evolving data and AI landscape.
Expert-Led Bootcamp
Learn directly from industry professionals through immersive live sessions that combine practical insights, hands-on activities, and real-world applications of data science and artificial intelligence.
Hands-On Projects & Capstones
Apply your skills through 15+ practical projects and domain-specific capstone assignments designed to strengthen problem-solving abilities and build a professional portfolio.
Industry-Recognized Certification
Earn a respected Data Science certification that validates your expertise and demonstrates your readiness for data-focused roles across industries.
Career-Focused Learning Experience
Develop job-ready skills through hands-on labs, real-world assignments, lifetime access to learning materials, and career support designed to help you advance with confidence.
Corporate Training
Tailored programs for teams with enterprise support
Learning Models
Choose from digital or instructor-led training for a customized learning experience.
LMS Platform
Access an enterprise-grade Learning Management System built for scalability and security.
Pricing Options
Pick from flexible pricing plans that fit your team size and learning goals.
Performance Dashboards
Track progress with intuitive dashboards for individuals and teams.
24x7 Support
Get round-the-clock learner assistance whenever you need help.
Account Manager
Work with a dedicated account manager who ensures smooth delivery and support.
Ready to transform your team?
Get a custom quote for your organization's training needs.
Upcoming Schedule
Join
the next batch that fits your timezone
Skills You ’ll Acquire in Our Data Science Fundamentals Training Program
Build sought-after data abilities to help you interpret information, reveal insights, and drive better decisions.
Data Collection & Cleaning
Import, validate, and transform raw datasets using Excel and Python Pandas to ensure accuracy and readiness for analysis.
SQL for Data Querying
Write complex SQL queries including joins, subqueries, and window functions to retrieve and manipulate structured data from relational databases.
Python for Data Analysis
Use NumPy, Pandas, and Matplotlib to perform data manipulation, statistical analysis, and automated reporting at scale.
Data Visualization
Create interactive dashboards using Tableau and Power BI to transform complex datasets into clear, executive-level insights.
Statistical Analysis
Apply descriptive and inferential statistical methods such as hypothesis testing, regression analysis, and correlation to interpret business data confidently.
Business Intelligence Reporting
Develop Power BI reports and Excel pivot dashboards aligned with business objectives to support data-driven decision-making.
Storytelling using Data
Communicate insights effectively through structured narratives, charts, and visual presentations for non-technical stakeholders.
Exploratory Data Analysis (EDA)
Identify patterns, trends, and outliers using systematic EDA techniques before drawing business conclusions.
Introduction to Machine Learning
Understand foundational supervised learning concepts such as linear regression and decision trees for basic predictive analytics use cases.
Who This Program Is For
Perfect for professionals seeking to understand, analyze, and use data effectively in their daily work.
Software Engineers – Professionals looking to strengthen their data analysis and data-driven development capabilities.
Software Developers – Individuals aiming to expand their skill set into data science and analytics domains.
Research Assistants – Learners who want to analyze research data more effectively using modern data tools and techniques.
Project Managers – Managers who need to interpret data, track performance metrics, and support strategic decision-making.
Account Managers – Professionals seeking to use data insights to improve client relationships and business outcomes.
Administrative Assistants – Individuals looking to build foundational data skills for improved workplace efficiency and reporting.
Business Analysts – Professionals aiming to enhance analytical capabilities and make more informed, data-driven decisions.
Sales Associates – Individuals who want to leverage data insights to improve sales performance and customer engagement.
Data Science Fundamentals Training Program Roadmap
Follow these straightforward steps to finish the training, enhance your skills, and earn your Data Science Fundamentals certification.
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What’s the benefit of earning a Data Science Fundamentals certification?
Learn how essential data science skills can enable you to tackle problems, make better decisions, and open doors to new career paths.
Solid Data Foundation
Develop a clear understanding of core concepts in data science, analytics, statistics, and machine learning that support data-driven decision-making.
Develop Skills for the Job
Engage in practical exercises, hands-on projects, and a capstone experience designed to help you apply learning in real-world scenarios and build confidence.
Understand Responsible Data Practices
Learn the importance of data governance, ethics, privacy, and security to ensure responsible and effective use of data in modern organizations.
Data Science Career Path
Gain essential knowledge, practical skills, and project experience to begin your journey into data science, analytics, or artificial intelligence roles.
Eligibility and Pre-requisites
Who Is Eligible to Learn Data Science Prerequisites Find Out Here
The Data Science Fundamentals program is designed for individuals from diverse educational and professional backgrounds who want to build practical skills in data science, analytics, and data-driven decision-making.
Eligibility Criteria:
Fresh Graduates: Students and recent graduates from any discipline such as commerce, science, engineering, arts, or management can join. No prior experience in data science, programming, or analytics is required.
Working Professionals: Professionals from domains such as IT, marketing, finance, operations, HR, and business roles are eligible. Basic familiarity with computers and spreadsheets may be helpful but is not mandatory.
Career Changers: Individuals transitioning from non-technical or unrelated fields are welcome. A willingness to learn, curiosity, and basic computer literacy are sufficient to begin.
Basic Requirements: Participants should have access to a computer or laptop with a stable internet connection and a readiness to actively participate in hands-on learning activities.
Course Modules & Curriculum
Comprehensive modules covering all knowledge areas
Data Science Fundamentals & Exam FAQ
Find
answers to common questions about our course and certification
What is data science, and what are the typical daily responsibilities of a data scientist? ▾
Data science involves analyzing data to discover patterns, generate insights, and build predictive models that support better business decision-making. A data scientist typically collects and prepares data, performs analysis, builds machine learning models, identifies trends, and communicates findings in a clear, actionable format for stakeholders.
What key learning outcomes can I anticipate from this program? ▾
You will gain skills in Python, statistics, data analysis, machine learning, and data visualization, along with hands-on experience through real-world projects and case studies.
What hands-on projects are part of the curriculum? ▾
The curriculum includes practical projects using real datasets, business case studies, and machine learning models designed to help you apply concepts in real-world scenarios.
What does "data storytelling" mean, and why is it important? ▾
Data storytelling is the practice of presenting data insights through visuals and narratives in a simple, clear way. It helps businesses understand complex data and make informed decisions based on those insights.
Do I need prior programming knowledge to begin a data science course in India? ▾
No, you can begin as a complete beginner. The course is structured to teach programming fundamentals from scratch.
Can individuals without technical backgrounds move into data science via a certification program? ▾
Yes. Individuals from non-technical backgrounds can transition into data science through structured learning and hands-on practice.
Is it possible to enroll in a data science program while working full-time in India? ▾
Yes. The program is flexible and designed to accommodate working professionals while continuing their careers.
Can someone who recently graduated and lacks significant work experience gain value from this course? ▾
Yes. Fresh graduates can build job-ready skills and improve their career opportunities through this program.
What is the typical salary for data science professionals in India? ▾
Salaries vary based on experience and skills, but data science roles are among the highest-paying positions in the tech industry in India.
What salary can someone expect to earn after finishing this data science course? ▾
Salary depends on skills and experience, but this course can help you qualify for entry- and mid-level data science and analytics roles.
Which sectors in India employ the largest number of data science professionals? ▾
Major industries include IT, banking, healthcare, e-commerce, telecom, and consulting, all of which actively hire data science professionals.
What is the usual career progression for a data scientist? ▾
Most professionals begin as data analysts or junior data scientists and progress to senior data scientist, AI specialist, or analytics leadership roles over time.
How do I apply and get enrolled in this data science course? ▾
You can register online, connect with a course advisor if needed, and complete the enrollment process to begin training.
What kind of assistance is provided to participants throughout the program? ▾
Learners receive instructor support, doubt-clearing sessions, and project guidance throughout the program.
What happens if I miss a live online class? ▾
If you miss a live session, you can access recorded classes anytime to catch up or revise the content at your convenience.
Customer Testimonials
Hear
from our successful graduates
Great class, very informative.
James Conklin
Great PMP<sup>®</sup> Bootcamp. I had a great time taking this course. I took the course to prepare to sit for the CAPM<sup>®</sup> but may be able to sit for the PMP<sup>®</sup>. I learnt a lot was challenging. Great course. We need one more day. Content was very detailed.
Karle Scroggins
it was a great class. Lots of energy. And I enjoyed.
John Denke
Fantastic course to prepare for PMP<sup>®</sup> exam.
Kevin Hambrice
As a participant it was smooth sailing for me.
Eric S. Tumlinson
Trainer was excellent. Shared good resources and good experiences.
Khemoni Holmes
Good content and training.
Dennis Glover
I wanted to let you know that I took and passed the PMP exam. Thanks to iCert Global and especially my Cincinnati course instructor, who was an excellent teacher and helped me immensely.
Steve Ditty
Trainer was good. Trainer was very engaged and interacting. Very much satisfied with the training.
Stefan Long
I was pleasantly surprised at the quality of this training. Yomi was awesome as a trainer and working to make sure that we understood the concepts. Controlling Cost and Controlling Risk are the most complicated, but Yomi spent time after class working through questions to help others understand. This class also helped to change my perception of the PMP being this MONSTER to something that I can I can successfully do.
Nancy Davis
Great class with a lot of information and tips to prepare for the exam
John Eric Nelson
It was a great course, covered all the things that i ended up hitting road bumps on. I was the only one in the class, but the trainer was just as involved as if it had been a full class.
Mark Butler
I was nervous about taking it online versus classroom; but I am actually glad I took it online. Instructor was very great and gave a good learning experience with his relevant project management experience.
Xeng Yang
The training was very intense but covered with course material. It was more than I expected.
Bernadette Gilliam
I thought the class was very informative. The instructor did an excellent job breaking down each chapter to where it was easy to understand. I was also very impressed with his commitment to help us pass ever after the class is over.
Taylor Mitchell
Excellent training. Instructor was very knowledgeable and explained information in an understandable way
Sandra Hamilton Allen
Quality Materials presented, Instructor very knowledgeable. Exceeded my expectations.
Anthony Muldrow
The training is a great introduction into the PMI mindset. Very informative and helpful
Bryan Tamburro
The training is a great introduction into the PMI mindset. Very informative and helpful
Joseph Quass
All positive - trainer has vast experience in different types of projects which helped with the examples he provided
Alaa Ahmed Hameed Al-Kayat
Great! Lots of material and very helpful to not only learn the material but also prepare for the exam. Completely satisfied with the training.
Jason Lui
Great Course. Dr. Ram was an awesome teacher. I could listen to him all day.
Colleen Lee
I completed the Online Training Session and thought it was well put together and satisfied everything I expected.
Brent Herring
I really enjoyed how thorough trainer was with the course information and taking time to elaborate on areas that may have been somewhat confusing. He did a tremendous job in making sure that we knew what would possibly be on the exam and ensuring our confidence to take the exam within the next few months. Overall, I thought the course was great and trainer was exceptional in his teaching of the curriculum.
Quentin Cheeks
Great content. Teacher did an excellent job of presenting the material, knew the material well.
Patrick Hinckley
Course & Support
Everything you need to know about our training options and support
What is the structure of the Data Science course? ▾
The course is organized in a step-by-step manner, beginning with foundational concepts and progressively advancing to more complex subjects such as machine learning and real-world projects.
Is the course offered online or in a classroom setting? ▾
The program is offered via live online or instructor-led sessions, allowing flexibility and access from any location.
What is the duration of the course? ▾
How long it takes depends on the learning track, though most learners finish it in a few weeks to a few months.
Will I be able to access the recorded sessions? ▾
Yes, every live session is recorded, allowing you to review and revisit lessons at any time.
Data Science Fundamentals Training in Other Cities
Abbotsford, BC
Barrie, ON
Brampton, ON
Brantford, ON
Chilliwack, BC
Edmonton, AB
Guelph, ON
Halifax, NS
Hamilton, ON
Kamloops, BC
Kanata, ON
Kelowna, BC
Kingston, ON
Kitchener, ON
Lethbridge, AB
London, ON
Milton, ON
Mississauga, ON
Moncton, NB
Nanaimo, BC
Oshawa, ON
Parry Sound, ON
Peterborough, ON
Quebec City, QC
Red Deer, AB
Regina, SK
Saint John, NB
Sarnia, ON
Saskatoon, SK
Sherbrooke, QC
St Catharines, ON
St Johns, NL
Sudbury, ON
Thunder Bay, ON
Toronto, ON
Trois Rivieres, QC
Victoria, BC
Waterloo, ON
Weyburn, SK
White Rock, BC
Windsor, ON
Winnipeg, MB
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