This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o Your first program o Types o Expressions and Variables o String Operations Module 2 - Python Data Structures o Lists and Tuples o Sets o Dictionaries Module 3 - Python Programming Fundamentals o Conditions and Branching o Loops o Functions o Objects and Classes Module 4 - Working with Data in Python o Reading files with open o Writing files with open o Loading data with Pandas o Numpy Finally, you will create a project to test your skills.
Offered By
IBM
About this Course
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Learner Career Outcomes
41%
started a new career after completing these courses
38%
got a tangible career benefit from this course
Skills you will gain
Data SciencePython ProgrammingNumpyPandas
Syllabus - What you will learn from this course
Week
13 hours to complete
Python Basics
3 videos (Total 11 min), 1 reading, 5 quizzes
1 reading
About this Course10m
3 practice exercises
Types8m
Expressions and Variables8m
String Operations14m
Week
25 hours to complete
Python Data Structures
3 videos (Total 16 min), 7 quizzes
3 practice exercises
List and Tuples18m
Dictionaries6m
Sets6m
Week
35 hours to complete
Python Programming Fundamentals
4 videos (Total 41 min), 8 quizzes
4 practice exercises
Conditions and Branching6m
Loops8m
Functions10m
Objects and Classes6m
Week
47 hours to complete
Working with Data in Python
8 videos (Total 42 min), 1 reading, 11 quizzes
8 videos
Writing Files with Open2m
Loading Data with Pandas4m
Pandas: Working with and Saving Data2m
One Dimensional Numpy11m
Two Dimensional Numpy7m
Simple APIs (Part 1)5m
Simple APIs (Part 2)5m
1 reading
Using loc, iloc and ix10m
5 practice exercises
Reading Files with Open6m
Writing files with open6m
Pandas6m
One Dimensional Numpy6m
Two Dimensional Numpy6m
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1311 ReviewsTop reviews from Python for Data Science and AI
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
Every course has offered something interesting, challenging, and surprising. I am glad I have spent the time with this class. I would strongly recommend it to others with an interest in data science.
Instructor
Joseph Santarcangelo
Ph.D., Data Scientist at IBMIBM Developer Skills Network
About IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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