$750 – $950

Python for Data Science

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Nova Institute

55 Village Centre Place

Mississauga, ON L4Z 1V9

Canada

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Refunds up to 7 days before event

Event description

Description


Learn the most popular language for Data Science

Python is currently the most used programming language in data science. It has had an explosive growth in interest the last few years. It is a simple yet powerful language with many libraries available to make data analytics and machine learning easy to implement.

This 4 part course will give you an introduction to programming in Python for use in data science. It is a great starting point if you are new to programming, and will give you a gentle introdution if you are new to Python. We will focus on libraries that are commonly used in data science such as numpy, matplotlib, pandas, and more.

The course consists of four 2 hour lessons and four labs. total 16 hours.

You will receive a certificate upon successful completion of the course.

Who should take this course?

  • Analysts transitioning into a Data Science Role
  • Anyone who want to learn Data Science, and need to learn programming.
  • Developers who are new to Python

What do you get?

  • Write real programs
  • Personalized training
  • Learn common libraries for working with data
  • Non alcoholic drinks and light snacks will be served
  • Certificate of Completion

Prerequisites

  • No prior programming knowledge required
  • You need to bring your own laptop (Windows/Linux/MacOS)

Instructor

The instructor for this workshop is Maja Maher. She has a Masters degree in Computer Science with a specialization in Robotics and Intelligent Systems, and vast experience teaching students at graduate and under graduate level. Maja has worked with software development, Machine Learning and data science in entertainment, retail and education.


Course Schedule
June 13 - July 7:
Lectures: Tuesdays 6:30pm - 8:30pm
Lab: Sundays 1pm - 3pm
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Date and Time

Location

Nova Institute

55 Village Centre Place

Mississauga, ON L4Z 1V9

Canada

View Map

Refund Policy

Refunds up to 7 days before event

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