Course delivered in English
Access: Free Online Course (Audit)
Learn the most important language for data science.
This course has 7 learning module, and can be teckled in approx 7 hours.
- Lessons 1 - Hello, Python
A quick introduction to Python syntax, variable assignment, and numbers
- Lessons 2 - Functions and Getting Help
Calling functions and defining our own, and using Python's builtin documentation
- Lessons 3 - Booleans and Conditionals
Using booleans for branching logic
- Lessons 4 - Lists
Lists and the things you can do with them. Includes indexing, slicing and mutating
- Lessons 5 - Loops and List Comprehensions
For and while loops, and a much-loved Python feature: list comprehensions
- Lessons 6 - Strings and Dictionaries
Working with strings and dictionaries, two fundamental Python data types
- Lesson 7 - Working with External Libraries
Imports, operator overloading, and survival tips for venturing into the world of external libraries
Colin Morris - Data Scientist
Colin is a data scientist and educator with a background in computational linguistics. In his spare time, he enjoys building data visualizations of pop music.
Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard libraryLearn the most important language for data science.
Completing Pyton Course will equip you with the foundation you need to further your learning the most important language for data science..
- Empowered Learning & Job Preparedness
- Set goals and create a personal action plan to support a coding and Machine Learning journey.
- Preparing for Job-readiness
- Planning for personal and professional growth
- Planning and Producing a portfolio
- Developing professional attitudes
This course is managed by the external partner Kaggle. In order to take this course you will need to register on their Academy platform where you can take advantage of this and many other courses on offer.
Kaggle might not issue a Certificate for completing this course; however we will! Once you have finished the course, go back to the course page in Guilds42 to upload an evidence of completion (screenshot jpg / png / pdf). Your document will be evaluated and if appropriate and verifiable, you will find this certification validated in the dashboard.