Python Foundations
Learning coding skills is the first step towards becoming a data scientist. Python is the de-facto language for data science. Learn Python fundamentals and build the foundation for a successful transition into the data science world with WeCloudData. Sign up to down the Python Fundamental course curriculum.
Associated learning paths:
Data Science- About the Course
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About This Course
Python is now the de-facto programming language for data science. For students who are new to data science, learning Python is the first step towards a rewarding career. While learning programming can be boring for some at the beginning, keep in mind that the goal for a beginner is more about learning the basics, doing practice, and cultivating curiosity and problem-solving skills. Don't expect to become a Python master in a few months. Get started on it, work on interesting projects, and improve your coding skills through hands-on exercises and projects. At WeCloudData, there’s nothing textbook about our approach.
Who this course is for?
Data Science Beginner
Get started with coding quickly and build a solid foundation
Excel, SQL, SAS, R users
Learn Python as a new tool to process data and prepare for advanced data science courses
Anyone who is interested in exploring Python as a data science tool
Not sure if data science is the right path for you? Try it out!
How we help you achieve the goal
Learning Outcome
Upon completing the course, students will be able to:
- 01. Hands-on Learning
- 02. Online/Mobile LMS
- 03. Work on your first Python project
- 04. The real support you'll need to succeed
- 05. Learn Data Science Use Cases
Learning to code in Python in 4 weeks is possible with our unique hands-on learning approach
The hands-on approach used in this course will help maximize learning effectiveness in a relatively short time. Beginners often spend too much time on learning the nitty-gritty of coding without tying it to the goal, which is to use Python as a tool for data science and analytics. The various business use cases introduced in this short course will keep students engaged and interested and stay curious to learn Python for solving real-world data challenges. Learning Python can be fun!
Access the live classroom and LMS on your phone and computer
Try our online/offline blended learning approach. Our Learning Platform will allow you to join live classes, watch recorded videos, take quizzes, ask questions, and receive live support from teaching assistants.
- Access course materials from mobile devices
- Take online quizzes to test your knowledge
- Access discussion forums and chat with instructors
- Stay on track with your learning journey
Implementing your first machine learning model as a project with Python
70% of the course will be hands-on learning. You will be following instructors to do live coding or work on in-classroom labs. Our instructors and TAs will answer your questions and give you support along the way and teach you the best ways to solve coding challenges on your own. You will complete your first data science project in class which is to implement a machine learning algorithm from scratch.
Our Teaching Assistants will give you real learning support via Slack or in the classroom
Real-world interaction with instructors and TAs are important. While having access to online LMS gives you flexibility, having support in the classroom while you work on coding challenges will maximize your learning effectiveness.
- In class TA support
- Weekly online TA session
- Live support via Slack
- Q&A in the learning portal
Learn Python use cases in data science
It's important to know early in your learning journey the why and how. This course will teach students various use cases and all labs and exercises will be directly related to those use cases.
- Fraud detection
- Customer life cycle
- Retail banking
- Healthcare
- Social media
Course Resources
Check out the presentation below to understand the Python ecosystem and why you should learn Python!
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