Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
Python for Data Science, AI & Development
Python for Data Science, AI & Development
This course is part of multiple programs.
Instructor: Joseph Santarcangelo
Sponsored by IEM UEM Group
1,047,956 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(39,125 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 25 hours
Learn at your own pace
95%
Most learners liked this course
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
Shareable certificate
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Assessments
22 assignments
Taught in English
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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 (8,407 ratings)Offered by
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Learner reviews
4.6
39,125 reviews
- 5 stars
71.94%
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20.78%
- 3 stars
4.44%
- 2 stars
1.45%
- 1 star
1.36%
Showing 3 of 39125
JE
4
Reviewed on May 30, 2019
The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.
CD
5
Reviewed on Dec 11, 2019
All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.
RK
5
Reviewed on Jun 15, 2020
It's been a very exciting journey and last project was just awesome... It's gives me real world problem. Videos are short and a lot informations provided in that. can't wait for the next course.....
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