Expressway to Data Science - Python Programming, Short Course | Part time online | Coursera | United States
1 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Learn to use Python for Data Science. Become familiar with Python and essential packages for data manipulation visualization with this Expressway to Data Science: Python Programming course offered by Coursera in partnership with University of Colorado Boulder.

Visit the Visit programme website for more information

Overview

How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This Expressway to Data Science: Python Programming course offered by Coursera in partnership with University of Colorado Boulder is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. 

In the first course, Introduction to Python Fundamentals, you will learn the basic input and output methods in Python, so you can write your first program. You will  learn variables, operations, and flow control statements for more advanced programming. In the second course, Introduction to Python Functions, you will create and use functions to make your programs reusable and adaptive. You will also learn how to utilize basic packages. In the third course, Python Packages for Data Science, you will gain familiarity with the packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. 

In this specialization, you will learn that programming in Python is like building with LEGO: you simply follow instructions, choose the pieces that fit together, and create something fulfilling and unique. Instead of giving up in frustration, you will discover that learning Python can be easy and fun.

Applied Learning Project

Learners will become familiar with Python and essential packages for data science  through exploratory labs and guided examples. Starting from one single-line Python statement, learners will be able to utilize the most widely used Python packages to play with data and gain insights from data.

What You Will Learn:

  • Fundamentals of Python Programming
  • Data Visualization Packages such as Matplotlib and Seaborn
  • Data Manipulation Packages such as Numpy and Pandas

Skills You Will Gain:

  • Python Libraries
  • Python Programming
  • Numpy
  • Pandas
  • Matplotlib

Programme Structure

Courses include:

  • Introduction to Python Fundamentals
  • Introduction to Python Functions
  • Python Packages for Data Science

Key information

Duration

  • Part-time
    • 1 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

Beginner level

  • No previous experience necessary

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Other interesting programmes for you

Our partners

Expressway to Data Science - Python Programming
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!