IBM
Python for Data Science, AI & Development

Course

Gain insight into a topic and learn the fundamentals

4.6

(35,972 reviews)

|

94%

Beginner level

Recommended experience

25 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Details to know

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Assessments

22 assignments

Taught in English

Course

Gain insight into a topic and learn the fundamentals

4.6

(35,972 reviews)

|

94%

Beginner level

Recommended experience

25 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 5 modules in this course

This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.

What's included

6 videos5 readings4 assignments4 app items3 plugins

This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.

What's included

3 videos1 reading4 assignments4 app items3 plugins

This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.

What's included

5 videos1 reading6 assignments6 app items7 plugins

This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.

What's included

6 videos1 reading4 assignments6 app items8 plugins

This module delves into the unique ways to collect data by the use of APIs and web scraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.

What's included

6 videos3 readings4 assignments6 app items5 plugins

Instructor

Instructor ratings
4.5 (7,524 ratings)
Joseph Santarcangelo
IBM
28 Courses1,445,154 learners

Offered by

IBM

Recommended if you're interested in Data Analysis

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4.6

35,972 reviews

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    1.35%

RK
5

Reviewed on Jun 15, 2020

AD
4

Reviewed on Jun 23, 2021

JE
4

Reviewed on May 30, 2019

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