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This program is approved as a vocational program under the Ontario Career Colleges Act, 2005

This program provides a comprehensive introduction to data science, equipping you with the skills to understand and apply data analytics in a business context. You will learn the core concepts of data science, including business problem identification, data analysis, and the use of industry tools like SQL, R, and Python. Gain hands-on experience in using data warehouses for business intelligence, working with Big Data tools, and performing advanced analytics such as regression modeling and natural language processing. You’ll also explore emerging technologies, data governance, and best practices for ethical data management, ensuring privacy and security. Throughout the program, you’ll develop the ability to create impactful visualizations, dashboards, and models, and effectively communicate your findings to diverse audiences. By the end, you’ll be equipped to drive business solutions by leveraging data, understanding business needs, and applying project management skills to data-driven projects.

Why Data Science & Analytics at DataWiz College is Your Smartest Career Move

Program Overview

Program Type

Computer and Information
Technology

Program Category

Computer System Analyst

Program Duration

4 Semesters (10 weeks to 12 weeks each)

Delivery Mode

Online/ Hybrid (Instructor-Led)

Total Instruction Hours

1344 Hours

Courses

16 Courses in Total

Schedule

84 hours of instructor-led lectures and computer labs per course
per semester

Credentials

Accredited Diploma awarded upon successful completion of all courses

Duration

52 Weeks including schdeuled breaks

Program Overview

Program Type

Computer and Information Technology

Program Category

Computer System Analyst

Program Duration

4 Semesters (12 weeks each)

Delivery Mode

Online/ Hybrid (Instructor-Led)

Total Instruction Hours

1344 Hours

Courses

16 Courses in Total

Schedule

84 hours of instructor-led lectures and computer labs per course per semester

Credentials

Accredited Diploma awarded upon successful completion of all courses

Duration

40 Weeks including schdeuled breaks

What You'll Learn

By the end of this comprehensive program, you’ll be equipped with the skills and knowledge to thrive in the world of data science and business intelligence. You’ll

Grasp the key concepts, roles, and components that form the backbone of data science.
Identify the most effective programs and technologies for your projects.
Discover opportunities to harness data for smarter, strategic decisions.
Build and query data warehouses, extract insights from NoSQL databases, and perform advanced analytics.
Present your findings through compelling reports, visualizations, and professional presentations.
Turn raw data into interactive dashboards, visual narratives, and actionable insights.

Translate business needs into data-driven strategies and implement impactful analytics solutions.
Work with essential software like SQL, Python, R, and leading Big Data platforms.
Evaluate the latest tools, trends, and technologies shaping the data landscape.
Apply regression models, machine learning, and natural language processing to solve real-world problems.
Formulate effective business problem statements and map them to data solutions.
Use cloud platforms to manage, model, and analyze data efficiently.
Understand data privacy, security, governance, and ethical responsibilities.
Collect, audit, and clean data to ensure it’s analysis-ready.
Apply project management techniques using KPIs, dashboards, and performance metrics.

Our Teacher's

Featured Instructor

Our Teacher's

Tom Themeles

Instructor of Data Science

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Gopi Kengatharan

Instructor of Data Science

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Stephanie Hosang

Instructor of Data Science

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Get To Know Us

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What You'll Learn

By the end of this comprehensive program, you’ll be equipped with the skills and knowledge to thrive in the world of data science and business intelligence. You’ll

Course Content

Semester 1

Introduction To Data Science
Leadership and Communication
Project Management
Data Ethics, Security, and Privacy

Semester 2

1. Data Programming Fundamentals
2. Data Analytics With Excel
3. Exploration, Preparation, and Modelling
4. Data and Statistics

Semester 3

1. Data Visualization
2. Big Data
3. Machine Learning and Predictive Modelling
4. Business Intelligence and Analytics

Semester 4

1. Data Engineering (ETL)
2. Cloud Based and Analytics
3. Artificial Intelligence
4. Final Project

Course Content

Semester 1

Introduction to Data Science

Students are introduced to the world of data science and learn about the key concepts of data science, the data science ecosystem, the role of data science in creating solutions to business problems, the roles and responsibilities of each major data science position, and examine the organizational goals and value provided by analytics and big data systems and processes.

Data Ethics, Security, And Privacy

Students learn about the collection, use, and storage of data
responsibly in accordance with customer expectations,
regulations, and laws. They will also learn the ethical way of
handling and managing data.

Project Management

Students learn how to apply project management skills and
concepts to data science projects in various levels and types of
companies.

Leadership and Communication

Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.

Students are introduced to the world of data science and learn about the key concepts of data science, the data science ecosystem, the role of data science in creating solutions to business problems, the roles and responsibilities of each major data science position, and examine the organizational goals and value provided by analytics and big data systems and processes.

Students learn about the collection, use, and storage of data responsibly in accordance with customer expectations, regulations, and laws. They will also learn the ethical way of handling and managing data.

Students learn how to apply project management skills and concepts to data science projects in various levels and types of companies.

Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.

Semester 2

Data Programming Fundamentals

Students will learn to use the main programs within the data
science ecosystem. We will focus on learning about SQL, R,
Python, Tableau, Power BI, and Spark. Each program will be
studied in how they fit in the overall process of data science

Data Analytics With Excel

Excel is widespread in the data industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel daily. This course is designed to give an introductory and applied knowledge of Excel towards data analysis and business statistics. Explore Certificate Course

Project Management

Students learn how to apply project management skills and
concepts to data science projects in various levels and types of
companies.

Leadership And Communication

Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look atfacilitating leadership and management skills in an era of dynamic and ongoing changes.

Students will learn to use the main programs within the data science ecosystem. We will focus on learning about SQL, R, Python, Tableau, Power BI, and Spark. Each program will be studied in how they fit in the overall process of data science

Excel is widespread in the data industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel daily. This course is designed to give an introductory and applied knowledge of Excel towards data analysis and business statistics. Explore Certificate Course

Students learn how to apply project management skills and concepts to data science projects in various levels and types of companies.

Students learn how to develop communication skills through verbal, visual, and written exercises. Students will then look at facilitating leadership and management skills in an era of dynamic and ongoing changes.

Semester 3

Data Visualization

This course introduces you to the fundamentals of data visualization and exploratory data analysis. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas.

Big Data

Students will learn about and use the main programs for big data. These programs include Hadoop, Spark, Hive, and Pig. Each program will be studied in how they fit in the overall process of data science.

Machine Learning and Predictive Modeling

Predictive analysis and machine learning are two of the most critical areas in analytics. Machine learning uses algorithms to track data and make predictions.

Business Intelligence and Analytics

Learn to apply data analytics skills to the area of business intelligence (BI) with emphasis on the project lifecycle such as project planning, BI tool selection, data modeling, ETL design, BI application design and deployment and reporting.

This course introduces you to the fundamentals of data visualization and exploratory data analysis. The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas.

Students will learn about and use the main programs for big data. These programs include Hadoop, Spark, Hive, and Pig. Each program will be studied in how they fit in the overall process of data science.

Predictive analysis and machine learning are two of the most critical areas in analytics. Machine learning uses algorithms to track data and make predictions.

Learn to apply data analytics skills to the area of business intelligence (BI) with emphasis on the project lifecycle such as project planning, BI tool selection, data modeling, ETL design, BI application design and deployment and reporting.

Semester 4

Data Engineering (ETL)

Data engineers are on the front lines of data strategy and the first people to tackle structured and unstructured data that enters a company’s systems. Learning about Postgres, being able to build data pipelines, and how to optimize systems and algorithms for large volumes of data are all skills that will make data analytics easier and efficient.

Cloud Based Computing and Analytics

This course introduces you cloud analytics using cloud computing. We will use a range of tools and techniques that help various companies acquire information from large volumes of data and present it that is available in a web browser.

Artificial Intelligence

This course introduces you to the exciting, dynamic, and rapidly evolving world of Artificial Intelligence (AI). We will look at the various methods that companies, organizations, and institutions can or potentially use AI to address their needs.

Final Project

Showcasing the application of all learned techniques through a comprehensive and impactful final project presentation.

Data engineers are on the front lines of data strategy and the first people to tackle structured and unstructured data that enters a company’s systems. Learning about Postgres, being able to build data pipelines, and how to optimize systems and algorithms for large volumes of data are all skills that will make data analytics easier and efficient.

This course introduces you cloud analytics using cloud computing. We will use a range of tools and techniques that help various companies acquire information from large volumes of data and present it that is available in a web browser.

This course introduces you to the exciting, dynamic, and rapidly evolving world of Artificial Intelligence (AI). We will look at the various methods that companies, organizations, and institutions can or potentially use AI to address their needs.

Showcasing the application of all learned techniques through a comprehensive and impactful final project presentation.

Students Feedbacks

Sarmi Siva

I completed the Data Science Analytics program and found it to be very practical and well-structured. The course provided strong coverage of big data concepts, data analysis, and visualization tools. Overall, a great program for anyone starting a career in data analytics and highly recommend it. It was a great experience and thank you so much DataWiz College.

Thelauxzan Muthu

Enrolled and completed 'Data Analytics' program with Stephanie, course material is well planned out from beginning to end. Stephanie & Datawiz really aimed to give us real world examples for me to take into the workplace, gained great amount knowledge in big data, data analysis, data visualization tools (powerbi/tableau). Course timelines & schedules were accommodating to be done from home or in person especially during pandemic times, was very important to me. Recommend this course to all students/recent graduates who are looking to get into a career in big data & analytics. DataWiz is the best.

Aravienth Chandra (Ravi)

Great instructor and a great school. Highly recommended for anyone looking to improve their skills. Thank you so much Gopi and staff of DataWiz for the experience. This program is recommended for all who are looking for a career change or improve skils.

Explore What We Offer

At DataWiz College, we offer a range of career-focused diploma and certificate programs in data science, analytics, and emerging technologies. Whether you’re starting your career or looking to up skill, our hands-on, practical learning approach ensures you gain in-demand technical and analytical skills that employers are looking for. Each program is designed with real-world projects, industry tools, and job readiness training to help you confidently step into the workforce. Discover flexible, career-driven learning paths that empower you to succeed in today’s competitive, data-driven job market.

Job Opportunities Upon Graduation

Graduates of this diploma program have the opportunity to pursue careers in the following positions:

Data Analyst
BI Analyst
Research Analyst
Business Analysis
BI Developer
Entry Level Data Scientist
Information Systems Analyst Consultant

Job Opportunities Upon Graduation

Data Analyst
BI Analyst
Research Analyst
Business Analysis
BI Developer
Entry Level Data Scientist
Information Systems Analyst Consultant

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