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Overview
What you will study
This Python for Data Science and Analytics course offered by University of Toronto uses practical, hands-on approaches to learning Python programming and foundational data science libraries (Pandas, NumPy and Matplotlib) to explore, manipulate, and visualize data. Learners will gain practical experience in attaining insights from data. In addition to lectures, discussions, and practical instruction, you’ll explore key topics through group exercises and assignments.
By the end of this micro course, you'll be able to:
- Understand and apply basic Python programming techniques for data analysis.
- Import and manipulate csv and Excel files using Python.
- Produce insights from data using NumPy and Pandas.
- Create effective data visualizations using Python.
Programme Structure
The program focuses on:
- Python programming
- Conduct heuristic data analysis
- Manipulate and organize data for analysis
- Use descriptive statistics to gain insights from data
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Data Analytics View 23 other Short Courses in Data Science & Big Data in CanadaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- All micro courses are open to everyone and there are no prerequisites or “application” requirements.
Tuition Fee
To always see correct tuition fees
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International
550 CAD/fullTuition FeeBased on the tuition of 550 CAD for the full programme during 1 months. -
National
550 CAD/fullTuition FeeBased on the tuition of 550 CAD for the full programme during 1 months.
Funding
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