02 · Curriculum
What's in the course.
- IntuitionReading
- Hands-onReading
Data Science · Intermediate
CDS Video Series | Section 09: Programming Frameworks for Data Science
The Programming Frameworks for Data Science course by The 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-…
- 38+
- enrolled
- 4 hrs
- of instruction
- 5
- lectures
- 4
- modules
01 · What you'll be able to do
Three things you can ship afterwards.
The Programming Frameworks for Data Science course by The 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 (CDS TM ) 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.
Comprehensive understanding
Comprehensive understanding of various programming frameworks essential for Data Science applications.
Detailed exploration
Detailed exploration of popular frameworks like TensorFlow, PyTorch, and Scikit-learn, including their functionalities and best practices.
Mastery in
Mastery in using frameworks for data manipulation, preprocessing, feature engineering, and model evaluation.
04 · Is it for you?
Who it's for, and what to bring.
Built for
- Beginners in Data Science
Bring with you
- 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 · FAQ
Before you enrol.
It is self-paced, with 5 lectures across 4 modules.
$24.99
Related credentials
The Chartered Data Scientist (CDS™) Designation
Achieve the highest distinction in the data science profession.
ADaSci Certified Data Engineer (ACDE)
The ADaSci Certified Data Engineer program is a 30-hour self-paced online certification designed to build practical expertise in modern data engineering. It offers end-to-end training in designing scalable data pipelines, managing cloud infrastructure, and ensuring data quality and governance.
Ready to start?
$24.99, or free with Premium membership.