OL 887

Introduction to Data Analysis

Business Computers

Students are introduced to data analysis principles, practices, and approaches used in research, Big Data, data science, and artificial intelligence. They will analyze the algorithms and statistical models used to support analytics and business decision-making for different industries and functions. Computer Software Required: Windows 10 Professional Edition. The following minimum computer requirements are recommended: HARDWARE: Intel I7 or AMD A10 processor or better with chipset that must support virtualization; 16 GB of RAM; 1 TB hard drive; Ethernet Network Card; Wireless Network Card; One USB 3.0 port (two preferred).

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Course Format

How is this online course delivered?

Learn Anytime
No live lectures—access pre-recorded content at your own pace.
Weekly Structure
Follow a clear, weekly course plan with set tasks.
Multimedia Content
Learn through modules, videos, forums, assignments, and quizzes.
24/7 Access
Log in anytime, anywhere with an internet connection.
Instructor Support
Facilitators are available to answer questions and provide feedback.
Independent Learning
It’s self-study—be ready to push yourself and stay on track.
Time Commitment
Expect around 5–12 hours per week, depending on your familiarity.
Sessions & Intakes

Upcoming Learning Sessions

Explore our available course intakes, designed to fit your schedule with flexible start dates. Whether you're studying online or in-class, each session is structured to provide a clear learning pathway.

CRN: 34862
Schedule: May 13, 2025 - August 19, 2025
Location: Online
Fee: $401.86
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Course Materials

Required Textbooks

The following textbooks are required for this course. Make sure you've acquired these materials before your course starts.

If any textbook appears to be missing or if you run into issues obtaining a textbook, please consult the complete textbook list or contact Online Learning immediately.

Mastering Machine Learning with Python in Six Steps

By: Manohar Swamynathan

Publisher: Apress

Edition: 2nd edition

ISBN: 978-1-4842-4947-5

Instructions: Free download within course shell

Registration Code: CF-OL887
Course Code: DU-DATA1280
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What are the admission requirements for online courses?

You must be 19 years of age or older to register for an OntarioLearn course. Students 18 years of age or less must possess an Ontario Secondary School Diploma or equivalent to register.

Are there exams or assignments in online courses?

Exams and/or assignments are used in online courses to support learning. They are completed online within the course. The number of assignments and exams will vary by course.

Will I receive a certificate for taking an online course?

Certificates are not granted for taking individual courses. A copy of an official transcript can show course completion.

When do online courses start?

Most start January, May, and September and run for 14 weeks. Many courses also start at the beginning of the month. Find start dates for upcoming courses.

Does this course require a textbook?

Review our textbook website to find textbook and purchasing information.

What are the withdrawal processes for online courses?

Review our withdrawal webpage for details on withdrawal dates and how to withdraw.

I have registered for a course, where can I find information on next steps?

Our current student website has important information for students, including login information and final grades

Can I use this online course towards a course in my Confederation College program?

Many courses have been approved for equivalency towards Confederation College program courses. Review the equivalency list on our website to find more information.