This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

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This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.

Syllabus

WEEK 1: Numpy library: Using arrays

WEEK 2: Pandas library: Using DataFrames

WEEK 3: Strings and files

WEEK 4: Data visualization: matplotlib and seaborn

WEEK 5: Object oriented programming: introducing class object

Object-Oriented Programming

Coursera Plus

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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.