Data Analytics with Python

Learn data-driven decision making and statistical analysis skills essential to driving of business profitability and growth

Who is this for?

The course is aimed at professionals looking to develop advanced data analytics skills leveraging the programming language, Python. This experience will solidify and enhance any prior understanding of working with data and analytics, as well as develop critical employability skills with foundational knowledge in Python.


In the Data Analytics with Python course, learners will be introduced to advanced analytics techniques and best-practice use cases. The course will also develop the fundamental Python programming knowledge and skills required to complete advanced analytics. The course focuses on developing the knowledge and skills needed to successfully conduct advanced data analysis and exploration, as well as leverage Python libraries to conduct data wrangling.

  • The course consists of 6 modules
  • Learners are encouraged to spend approx. 10-12 hours per module over six weeks
  • Learners must complete one assessment at the end of module six to be successful
  • Learners will develop core knowledge to inform data analysis
  • Learners will build and apply practical skill sets to complete data processing using Python, and learn the fundamentals of the programming language

Upon successful completion of this microcredential, you will be awarded TALENT’s Digital Badge to enable you to effectively articulate this skill to employers.


The curriculum was developed in consultation with experienced data analysts and programming professionals that leverage Python libraries to conduct advanced data analysis in their daily roles.

Instructional Offerings

TALENT has developed three instructional offerings to accommodate your unique learning styles and life commitments.


Self-paced over 3 months


Self-paced over 3 months
All features in Self-Paced

Learner Benefits

Advanced analytics techniques
Best-practice use cases
Develop the fundamental Python programming knowledge and skills
Leverage Python libraries to conduct data wrangling
Conduct advanced data analysis and exploration

Frequently Asked Questions

  • When does the course start?

    Self-paced and hybrid courses start on the day you recieve your CANVAS log-in (typically 1 day after registration).
  • How much time is required of me?

    Microcredentials typically require between 8 and 10 hours a week of course work. For Facilitator- led microcredentials, there is one hour a week of on-line instruction from the facilitator.
  • Do I have to show up for class?

    Attendance during facilitated time is highly recommended as it provides the most value to the microcredentials with time to learn from industry experts, network with classmates, and deeper understanding of content. However, attendance is not mandatory and all sessions are recorded and posted afterwards on CANVAS.
  • How am I evaluated?

    What makes a TALENT microcredential different is the final assessment. There are weekly multiple choice questions that will guide your learning progress then learners are given a final assignment where they will apply their learning to a practical assignment. A facilitator will evaluate the final assignment and award a digital badge if the final assignement is completed successfully.
  • How long is the course?

    Microcredentials are 6 weeks long with 6-8 hours a week of course work. Self-paced and hybrid learners have the flexibility to complete the microcredential over three months at their own pace.
  • Will this microcredential get me a job?

    Microcredentials are a great way to differenciate yourself when searching for a job. The digital badge can be added to social platforms and resumes to demonstate your skills. TALENT works closely with learners to guide and advise on learner's career journeys.
  • Is there any financial assistance?

    We never want finances to be a reason why learners can't improve their skills and gain meaningful employment. If you have any questions about financial assistance, please reach out to us directly (

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