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IBM: Python Basics for Data Science

4.4 stars
835 ratings

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!

Python Basics for Data Science
3 weeks
4–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

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Starts Oct 31
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Python Basics for Data Science

About this course

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Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

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.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.

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Python Basics for Data Science

At a glance

  • Institution: IBM
  • Subject: Data Analysis & Statistics
  • Level: Intermediate
  • Prerequisites:

    Basic Math

  • Language: English
  • Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文

What you'll learn

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  • 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

Syllabus

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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

This course is part of DevOps and Software Engineering Professional Certificate Program

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Expert instruction
15 skill-building courses
Self-paced
Progress at your own speed
1 year 1 month
7 - 9 hours per week

Ways to take this course

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Certificate

Free

Price

$99 USD

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Access to course materials

Unlimited

Limited

Expires on Nov 21

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edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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