Online Course – Certified Professional Internship in Python from the University of Colorado Boulder

Learn to use Python for data science. Introduce yourself to Python and the essential packages for data manipulation and visualization.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Python libraries
  • Python programming
  • Numpy
  • Panda
  • Confused

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Software developer
  • Systems Analyst
  • Application developer
  • Data Engineer
  • BI Solutions Developer
  • Data Analyst

Internship – a three-part course series

How many times have you decided to learn a programming language, but got stuck somewhere along the way, gave up, and quit? This specialization is for learners who have little or no programming experience, but want to use Python as a tool for working with data.

Courses

  • Course One: Introduction to Python Principles

    You will learn the basic input and output methods in Python, so you can write your first program. You will learn about:

    • Variables
    • Actions
    • Flow control statements
  • Course Two: Introduction to Functions in Python

    You will create and use functions to make your programs more useful and flexible. You will also learn how to take advantage of basic packages.

  • Course Three: Python Packages for Data Science

    Get to know the packages used specifically for data science, such as:

    • Pandas
    • Numpy
    • Matplotlib
    • Seaborn

In this internship, you’ll learn that programming in Python is like building with LEGO: just follow the instructions, choose the pieces that fit together, and create something satisfying and unique. Instead of getting discouraged, you’ll discover that learning Python can be easy and fun.

Hands-on Learning Project

Learners will practice Python and the essential packages for data science through guided exploration labs and examples. Starting with simple Python statements, learners will be able to use the most common Python packages to play with data and gain insights from it.

Details of the courses that make up the specialization

Introduction to Python Basics

Course 1

  • 20 hours
  • 4.8 (157 ratings)

Course Details

What will you learn?
  • By successfully completing this course, you will be able to describe the basics of programming in Python.
  • You will be able to identify basic variables and data types.
  • You can also write simple programs in the Python language.
Skills you will acquire
  • Category: Computer Programming
  • Category: Data Science
  • Category: Python Programming
  • Category: Coding
  • Category: Flow Control

Introduction to Python functions

Course 2

  • 18 hours
  • 4.8 (45 ratings)

Course Details

What will you learn?
  • By successfully completing this course, you will be able to use Python’s predefined functions and Python packages.
  • You can also define functions in Python.
Skills you will acquire
  • Category: Software Engineering
  • Category: Computer Programming
  • Category: Data Science
  • Category: Python Programming
  • Category: Functions

Python packages for data science

Course 3

  • 19 hours
  • 4.5 (50 ratings)

Course Details

What will you learn?
  • By successfully completing this course, you will be able to use Python packages developed for data science.
  • You will learn how to use Numpy and Pandas to manipulate data.
  • You will learn how to use Matplotlib and Seaborn to develop data visualizations.
Skills you will acquire
  • Category: Seaborn
  • Category: Numpy
  • Category: Pandas
  • Category: Data Visualization
  • Category: Matplotlib