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.
4.6 (30k+ Reviews)
Language
- English
Topic
- Python
Enrollment Count
- 453.46K
Skills You Will Learn
- Python, Data Science
Offered By
- CognitiveClass
Estimated Effort
- 18 hours
Platform
- SkillsNetwork
Last Update
- December 9, 2024
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
- Basic Math
Language
- English
Topic
- Python
Enrollment Count
- 453.46K
Skills You Will Learn
- Python, Data Science
Offered By
- CognitiveClass
Estimated Effort
- 18 hours
Platform
- SkillsNetwork
Last Update
- December 9, 2024
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.
Read moreContributors
Svitlana Kramar
Data Scientist
I’m a passionate data science educator whose goal is to learn by teaching innovative data science tools that can improve our day-to-day tasks and our quality of life. My interests are in Natural Language Processing: text classification, summarization, and generation. Research can take a long time because there are a lot of resources and new opinions posted every day. Having tools to summarize and extract the information can save a lot of time. I hope we can all learn, approve, and apply the data science tools to cut down on the repetitive and tedious tasks, to make more informed decisions in life, to differentiate fake from real, and to open communication spaces to language-diverse or hearing-impaired audiences. The applications are limitless! My personality: I am a foodie and I love cooking and learning different cuisines. I also love travelling and connecting with people by learning a little bit of their language, about their food and music. I hold Data Science and Analytics master’s degree, specializing in Machine Learning, from University of Calgary.
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