Python Basics for Data Science, Certificate | Part time online | edX - online learning platform | United States
21 days
Duration
99 USD/full
99 USD/full
Unknown
Tuition fee
Anytime
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Apply date
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Start date

About

EdX is an online learning platform trusted by over 12 million users offering the Python Basics for Data Science in collaboration with IBMx. This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Visit the Visit programme website for more information

Overview

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

This course is part of the Python Data Science Professional Certificate

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

The Python Basics for Data Science Certificate from EdX is offered in partnership with IBMx and is part of the Applied AI Professional Certificate, Python Data Science Professional Certificate and the IBM Data Science Professional Certificate.

What you will learn

  • Learn Python - the most popular programming language and easy to learn for beginners
  • Develop fundamental Python skills for Data Science and Software Development
  • Work with commonly used Python libraries such as Pandas and Numpy
  • Utilize Jupyter Notebooks to develop, experiment with and execute Python code
  • Access and webscrape data using APIs and libraries like Beautiful Soup

Programme Structure

Courses include:

Module 1 - Python Basics
  • Your first program
  • Types
  • Expressions and Variables
  • String Operations
Module 2 - Python Data Structures
  • Lists and Tuples
  • Sets
  • Dictionaries
Module 3 - Python Programming Fundamentals
  • Conditions and Branching
  • Loops
  • Functions
  • Objects and Classes
Module 4 - Working with Data in Python
  • Reading files with open
  • Writing files with open
  • Loading data with Pandas
  • Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays

  • Numpy 1d Arrays
  • Numpy 2d Arrays

Key information

Duration

  • Part-time
    • 21 days
    • 4 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic 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

Prerequisites:

  • Basic Math

Tuition Fee

To always see correct tuition fees
  • International

    99 USD/full
    Tuition Fee
    Based on the tuition of 99 USD for the full programme during 21 days.
  • National

    99 USD/full
    Tuition Fee
    Based on the tuition of 99 USD for the full programme during 21 days.

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