Offered By: IBM
Python for Data Science
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. Upon its completion, you'll be able to write your own Python scripts. If you want to learn Python from scratch, this course is for you.
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Course
Python
237k+ EnrolledAt a Glance
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. Upon its completion, you'll be able to write your own Python scripts. If you want to learn Python from scratch, this course is for you.
COURSE SYLLABUS
- Your first program
- Types
- Expressions and Variables
- String Operations
- Lists and Tuples
- Sets
- Dictionaries
- Conditions and Branching
- Loops
- Functions
- Objects and Classes
- Reading files with open
- Writing files with open
- Loading data with Pandas
- Working with and Saving data with Pandas
- Numpy 1D Arrays
- Numpy 2D Arrays
- Simple APIs
- API Setup
GENERAL INFORMATION
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- There is only ONE chance to pass the course, but multiple attempts per question
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- Â Basic Math
Estimated Effort
20 Hours
Level
Beginner
Skills You Will Learn
Python, Data Science
Language
English
Instructors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreAbhishek Gagneja
Freelance Subject Matter Expert
I am a lifelong learner with more than a decade of teaching experience at university level. I am an AI enthusiast and love learning new things.
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