Data Science Certificate Courses

Please complete the following courses to be eligible for the Data Science Certificate.

Data Science 1: Foundations of Data Science

If you want to work in the growing field of data science, and have some prior knowledge and experience of basic programming, this course is for you. You’ll learn how to help organizations leverage the increasing variety and volume of data they own or can find on the Internet. You’ll explore the evolution of the fields of data science and predictive analytics. You’ll learn up-to-date techniques for data retrieval, preparation, analysis and visualization. Through hands-on exercises and group assignments, you’ll build critical programming skills you can use in subsequent courses in the certificate program.

Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.

What You'll Learn
As a result of this course, you will be able to:

  • Understand the basic techniques, evolution and promise of data science.
  • Build hands-on skills in programming languages such as Python and SQL.
  • Extract data from databases, websites and social media.
  • Store, clean and analyse data using Pandas.

Academic Requirements: A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

Need to brush up on your programming skills? Take our Introduction to Python 3 6 week online course.

System Requirements:

Length:
12 weeks

Price:
$995 CAD (+ applicable taxes)

TAXATION
Online Data Science courses taken through Professional Development at the University of Waterloo will have HST added to the price. A T2022A tax slip is not issued for these courses.

WITHDRAWAL AND REFUND POLICY
You can withdraw from this course, or transfer to the next start date, up to 14 days after the start date. You must request this in writing (makeithappen@uwaterloo.ca) before 4:30 pm (EST) on the 14th day. Please indicate if you want a refund or a transfer. There is an administrative fee of $75 (+ applicable taxes) for either option.

After the 14th day your only option is to audit the course. This means you will not receive a refund but will retain access to the course materials for the duration of the course and you will not receive a grade.

Note: To increase the security and protection of your uWaterloo account you will be required to enrol in the University's 2 Factor Authentication service (2FA) to gain access to our online learning management system - LEARN. https://uwaterloo.ca/two-factor-authentication/.

REGISTER NOW

Data Science 2: Statistics for Data Science

Build on the skills you learned in Data Science 1: Foundations of Data Science and get the grounding in basic statistics you need to successfully complete your Data Science Certificate. In this course, you’ll explore probability and descriptive statistics, cover data analysis from both a classical and contemporary viewpoint and learn to extract insight from datasets. You’ll get a math notation refresher, learn to form hypotheses, design experiments that collect valid data, and test your hypotheses using statistical techniques. The course content covers part of the body of knowledge of INFORMS’ Certified Analytics Professional (CAP) certification. Concepts are solidified through individual and group based practical assignments.

Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.

What You'll Learn

  • Design experiments to collect data that answer business or scientific questions.
  • Formulate statistical tests to answer business questions.
  • Use multiple linear and logistic regressions as predictive models.
  • Use Python for regression and Monte Carlo simulation.
  • Cover data analysis from both a classical and contemporary viewpoint.

Prerequisites:
Data Science 1: Foundations of Data Science or a passing grade on prior learning assessment for equivalent skills

Academic Requirements: A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

System Requirements:

Length:
12 weeks

Price:
$995 CAD (+ applicable taxes)

TAXATION
Online Data Science courses taken through Professional Development at the University of Waterloo will have HST added to the price. A T2022A tax slip is not issued for these courses.

WITHDRAWAL AND REFUND POLICY
You can withdraw from this course, or transfer to the next start date, up to 14 days after the start date. You must request this in writing (makeithappen@uwaterloo.ca) before 4:30 pm (EST) on the 14th day. Please indicate if you want a refund or a transfer. There is an administrative fee of $75 (+ applicable taxes) for either option.

After the 14th day your only option is to audit the course. This means you will not receive a refund but will retain access to the course materials for the duration of the course and you will not receive a grade.

Note: To increase the security and protection of your uWaterloo account you will be required to enrol in the University's 2 Factor Authentication service (2FA) to gain access to our online learning management system - LEARN. https://uwaterloo.ca/two-factor-authentication/.

REGISTER NOW

Data Science 3: Big Data Management Systems & Tools

Big Data involves massive data volumes and diverse data types. Modern organizations need people who can help implement the tools they need to deal with these huge data sets. In this course, you’ll learn the technology of Big Data and build in-demand skills. You’ll get hands-on experience using up-to-date database management systems and tools and practice the concepts presented through individual and group assignments. Get in on the explosion in new NoSQL technologies and Big Data tools including Spark, MongoDB and Cassandra.

Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.

What You'll Learn

  • Understand the architecture of reliable Big Data systems.
  • Know how they differ from the traditional way of building systems.
  • Describe when to use different types of NoSQL databases.
  • Address current processing challenges of Big Data.
  • Analyze data using tools like Spark, MongoDB and Cassandra.

Prerequisites:
Data Science 1: Foundations of Data Science or a passing grade on prior learning assessment for equivalent skills

Academic Requirements: A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

System Requirements:

Length:
12 weeks

Price:
$995 CAD (+ applicable taxes)

TAXATION
Online Data Science courses taken through Professional Development at the University of Waterloo will have HST added to the price. A T2022A tax slip is not issued for these courses.

WITHDRAWAL AND REFUND POLICY
You can withdraw from this course, or transfer to the next start date, up to 14 days after the start date. You must request this in writing (makeithappen@uwaterloo.ca) before 4:30 pm (EST) on the 14th day. Please indicate if you want a refund or a transfer. There is an administrative fee of $75 (+ applicable taxes) for either option.

After the 14th day your only option is to audit the course. This means you will not receive a refund but will retain access to the course materials for the duration of the course and you will not receive a grade.

Note: To increase the security and protection of your uWaterloo account you will be required to enrol in the University's 2 Factor Authentication service (2FA) to gain access to our online learning management system - LEARN. https://uwaterloo.ca/two-factor-authentication/.

REGISTER NOW

Data Science 4: Machine Learning

This course will equip you with the basic machine learning and artificial intelligence (AI) tools for mining and analyzing datasets, and extracting insights for decision making. You will learn how to identify correlations and patterns in datasets, build predictive models using machine learning and AI software and evaluate the performance of those models through individual and group based practical assignments.

Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.

What You'll Learn

  • Find correlations between variables in a dataset.
  • Identify clusters in data such as market segments.
  • Predict future outcomes based on hidden relationships in historical data.
  • Use tools to classify events or observations by type.
  • Evaluate and combine models for best performance.

Prerequisites:

  • Completed Data Science 1: Foundations of Data Science and Data Science 2: Statistics or,
  • Completed or been granted a passing grade on a Prior Learning Assessment (PLA) for Data Science 1: Foundations of Data Science and Data Science 2: Statistics

Academic Requirements: A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

System Requirements:

Length:
12 weeks

Price:
$995 CAD (+ applicable taxes)

TAXATION
Online Data Science courses taken through Professional Development at the University of Waterloo will have HST added to the price. A T2022A tax slip is not issued for these courses.

WITHDRAWAL AND REFUND POLICY
You can withdraw from this course, or transfer to the next start date, up to 14 days after the start date. You must request this in writing (makeithappen@uwaterloo.ca) before 4:30 pm (EST) on the 14th day. Please indicate if you want a refund or a transfer. There is an administrative fee of $75 (+ applicable taxes) for either option.

After the 14th day your only option is to audit the course. This means you will not receive a refund but will retain access to the course materials for the duration of the course and you will not receive a grade.

Note: To increase the security and protection of your uWaterloo account you will be required to enrol in the University's 2 Factor Authentication service (2FA) to gain access to our online learning management system - LEARN. https://uwaterloo.ca/two-factor-authentication/.

REGISTER NOW