Programming For Data Science
Duration: 5 Days • Classroom: Physical • HRDC: Claimable
What you'll learn
- Participants will gain an understanding of the basics of Flutter, including how to create layouts, handle user input, manage state, and connect to APIs.
- Ability to create custom mobile apps.
- Participants will have Hands-on experience to apply their newly acquired knowledge and skills in a real-world context.
Course description
This training course is designed to introduce participants to the essential programming concepts and tools used in the field of data science. Over the course of 5 days, participants will learn the fundamentals of programming languages such as Python or R, and how to use them to analyze and manipulate data. The training will cover topics such as data structures, control structures, functions, and object-oriented programming. Participants will also learn how to use popular data science libraries such as Pandas, Numpy, and Scikit-learn to analyze and visualize data, and how to create machine learning models using these libraries. Throughout the course, participants will engage in hands-on exercises and projects to reinforce their understanding of programming concepts and their application to data science. By the end of the training, participants will have a solid foundation in programming for data science and be able to apply this knowledge to real-world data problems.
Course content
- Overview of data science and the role of programming
- Introduction to programming languages such as Python or R
- Setting up a programming environment
02: Programming Fundamentals
3 Topics
- Data structures and types
- Control structures (loops and conditionals)
- Functions and modules
- Working with data frames and tables
- Data aggregation and summarization
- Data visualization with libraries such as Matplotlib or ggplot2
04: Machine Learning Basics
3 Topics
- Overview of machine learning concepts and techniques
- Supervised learning and unsupervised learning
- Linear regression, decision trees, and clustering algorithms
- Object-oriented programming for data science
- Introduction to popular data science libraries such as Pandas, Numpy, and Scikit-learn
- Applying programming skills to real-world data problems
English
5 Days
Physical Class
Certificate of Completion
HRDC Claimable
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