NumPy

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Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

Discover how to harness the power of Python for data processing in a user-friendly course tailored for non-CS majors. From basic Python syntax to acquiring, presenting, analyzing, and visualizing data, this course will guide you through every step of the data processing journey, culminating in designing simple GUIs for effective data presentation.

Aug 10th 2026
5-12 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

Discover the basics of Python programming tailored specifically for those interested in Artificial Intelligence. Our 'Practical Python for AI Coding 2' course is designed for complete beginners, providing a solid foundation without any prerequisite knowledge. Learn essential syntaxes, functions, and libraries used in AI coding, and explore the interplay between NumPy, Pandas, and TensorFlow.

Aug 3rd 2026
5-12 Weeks
Practical Python for AI Coding 1 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 1 (Coursera)

Discover the basics of Python coding and its application in AI with our introductory course. Designed for complete novices, this course will guide you through essential syntaxes, functions, and libraries used in AI coding. Learn at your own pace and gain a solid foundation to advance into more complex topics.

Aug 3rd 2026
5-12 Weeks
Fundamental Tools of Data Wrangling (Coursera) Coursera
University of Colorado Boulder

Fundamental Tools of Data Wrangling (Coursera)

Discover the art and science of data preparation with 'Fundamental Tools of Data Wrangling'. This course equips you with the necessary skills to effectively clean, manipulate, and analyze your data using powerful tools like Python, NumPy, pandas, and more. Whether you're new to data wrangling or looking to refine your existing skills, this course offers a practical approach to mastering the fundamentals.

Aug 3rd 2026
5-12 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

Discover the power of Data Visualization with Python & R for Engineers - a course designed to equip you with essential skills for transforming raw data into compelling stories. Whether you're working in engineering, healthcare operations, or manufacturing, this course will teach you how to use visualization tools and techniques to explore your data, discover knowledge, and make informed decisions.

Aug 3rd 2026
4 Weeks
Analyzing Data with Python (edX) EdX
IBM

Analyzing Data with Python (edX)

Unlock the potential of your data with 'Analyzing Data with Python' on edX. This course equips you with essential skills in handling, manipulating, and analyzing complex datasets using powerful Python libraries such as numpy, pandas, SciPy, and scikit-learn. Whether you're a beginner or looking to advance your analytical capabilities, this course offers a structured pathway to mastering data analysis and machine learning techniques.

Self Paced
Self-Paced
Fundamentals of Machine Learning for Supply Chain (Coursera) Coursera
LearnQuest

Fundamentals of Machine Learning for Supply Chain (Coursera)

Dive into the world of machine learning and its application to supply chain management with our Fundamentals of Machine Learning for Supply Chain course. Whether you're a seasoned professional or new to the field, this course will equip you with Python skills needed to analyze intricate data sets and optimize supply chain processes.

Jul 27th 2026
4 Weeks
Introduction to Data Science and scikit-learn in Python (Coursera) Coursera
LearnQuest

Introduction to Data Science and scikit-learn in Python (Coursera)

Dive into the world of data science and artificial intelligence with our beginner-friendly course. Learn how to use Python effectively for hypothesis creation and testing, explore key concepts in EDA, and master powerful tools such as Numpy, Pandas, and scikit-learn. This course is perfect for those new to data science who want to build a strong foundation.

Jul 27th 2026
4 Weeks
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