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  1. The Big Data Analytics Program also allows you to earn one or two distinct certificates to get an edge over your competition. You can choose to enrol only in the initial certificate or in both certificates as a bundle to complete the full program. Certificate in Big Data Analytics (6 months)

    • 4700 Keele Street, Toronto, M3J 1P3
    • July 25, 2025
    • (416) 736-2100
    • January 25, 2025
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  2. The Chang School offers a Certificate in Data Analytics, Big Data, and Predictive Analytics that will set you up for success in this fast-paced field. Our data science courses emphasize hands-on experience with data analysis tools and techniques, providing you with practical big-data skills that are directly applicable in the job market – and to a wide range of industries and roles.

  3. Statistics, data analytics, big data, machine learning and technical/software applications; How to collect, analyze, interpret and share data and how to identify relationships in data; Problem-solving and information visualization techniques and tools; Trends and potential uses of artificial intelligence (AI) in various industries

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    • Description
    • Career Opportunities
    • Program Learning Outcomes
    • Admission Requirements
    • Additional Information
    • Graduation Window

    Big Data allows users to visualize past, present, and future patterns by linking and presenting information in meaningful ways. Data Analytics offers deeper insight into the meaning of data sets by telling the story behind the information. This enables stakeholders to make more informed decisions, predict trends and better understand the needs and ...

    Graduates of this program are able to collect, organize and correlate data for a wide range of industries including government, applied research, human resources, health care, and sales and marketing. Leveraging prior background, skills and experience, students may be employed in roles such as Data Analyst, Business Analyst, BI Developer, ETL Devel...

    The graduate has reliably demonstrated the ability to: 1. collect, manipulate and mine data sets to meet an organizational need; 2. recommend different systems architectures and data storage technologies to support data analytics; 3. design data models that meet the needs of a specific business process; 4. develop software applications to manipulat...

    Ontario College Diploma, Ontario College Advanced Diploma, Degree, or equivalent. It is recommended that the applicant have a specialty in science, technology, engineering, mathematics, or business.

    To be successful in this program, students are required to have a personal notebook computer (either PC or Mac architecture) prior to the start of the program that meets or exceeds the following hardware specifications: 1. Intel i7 processor or AMD equivalent 2. Dedicated graphics card/processor 3. 16GiB of memory (32GiB recommended) 4. 500GB hard ...

    Students unable to adhere to the program duration of one year (as stated above) may take a maximum of two years to complete their credential. After this time, students must be re-admitted into the program, and follow the curriculum in place at the time of re-admission. Disclaimer: The information in this document is correct at the time of publicati...

  4. In the U.S. and Canada, Coursera charges $49 per month after the initial 7-day free trial period. The Google Data Analytics Certificate can be completed in less than 6 months at under 10 hours per week of part-time study, so most learners can complete the certificate for less than $300 USD.

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  5. In the U.S. and Canada, Coursera charges $49 per month after the initial 7-day free trial period. The Google Advanced Data Analytics Certificate can be completed in less than 6 months at under 10 hours per week of part-time study, so most learners can complete the certificate for less than $300 USD.

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  7. You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyse data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.

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