03 — Curriculum
Course content
4 sections · 5 lectures
ADaSci Academy
CDS Video Series | Section 09: Programming Frameworks for Data Science
The Programming Frameworks for Data Science course by The Association of Data Scientists (ADaSci) is designed to help professionals acquire a strong foundation in Python programming for data science. The course focuses o…
7,599+ enrolled
4 hours
Intermediate
01 — Overview
About this course
The Programming Frameworks for Data Science course by The Association of Data Scientists (ADaSci) is designed to help professionals acquire a strong foundation in Python programming for data science. The course focuses on essential Python libraries, including, Pandas, SK-Learn, Tensorflow and PyTorch, and explores how these libraries can be used to preprocess, analyze, and visualize data. The course covers fundamental programming concepts, such as data types, control structures, functions, and modules, and provides hands-on training in Python programming for data science. This course is ideal for those seeking to advance their skills in Python programming and preparing for Chartered Data Scientist (CDSTM) and Certified Data Scientist – Associate Level exams. With experienced instructors and practical exercises, this course offers an excellent opportunity to develop your programming skills for data science and stay ahead in your career.
Outline
- Python Lists, Dictionaries
- Arrays
- Conditional statements
- Loops
- Data Frame
- Functions
- Object-oriented programming
- Files
- Exceptions
- Sci-Kit Learn
- Keras
- TensorFlow
- PyTorch
- Python tools for deep learning
Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.
02 — Outcomes
What you'll learn
✓
Comprehensive understanding of various programming frameworks essential for Data Science applications.✓
Detailed exploration of popular frameworks like TensorFlow, PyTorch, and Scikit-learn, including their functionalities and best practices.✓
Mastery in using frameworks for data manipulation, preprocessing, feature engineering, and model evaluation04 — Prerequisites
Requirements
- Basic understanding of programming fundamentals in languages such as Python or similar. A keen interest in exploring various programming frameworks used in Data Science applications. Beginners seeking to delve into programming frameworks or professionals aiming to advance their skills are both welcome.
05 — Audience
Who should take this course
- Beginners in Data Science
$24.99
Member Pricing
FREE with Premium
50% off with General
Duration4h
LevelIntermediate
CertificateYes
$24.99