Coursera

Practical Python for AI Coding 1 (Coursera)

Offered by Korea Advanced Institute of Science and Technology - KAIST,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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: Preparation for coding : Setting up AI coding environment
WEEK 2: Basic concepts and rules of Python coding
WEEK 3: Primitive data types
WEEK 4: Control statements and iteration
WEEK 5: Creating functions
WEEK 6: Non-primitive data types: Lists and tuples
WEEK 7: Non-primitive data types: Dictionaries and sets

Go to Class

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

Related Courses

Coursera

Starweaver

Build a Data Warehouse Using BigQuery (Coursera)

Statistics & Data Analysis Data Science

Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

Oct 26th 2026

1 Week

SQL Data Warehousing Data Warehouse

Coursera

Whizlabs

Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera)

CS: Information & Technology

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

Oct 19th 2026

5-12 Weeks

Python Artificial Intelligence Microsoft Azure

Coursera

University of Toronto

Learn to Program: The Fundamentals (Coursera)

CS: Programming

Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.

Oct 12th 2026

5-12 Weeks

Programming Python Semantics

Coursera

University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

Data Science

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Oct 19th 2026

5-12 Weeks

Algorithms Machine Learning Clustering

Coursera

Tecnológico de Monterrey

Analíticas de Datos con Pandas (Coursera)

Computer Science

La analítica de datos ha avanzado considerablemente en los últimos años y ahora existen diversas herramientas que nos permiten realizar tareas o procesos que antes eran complicados de realizar. Gracias a su versatilidad, el lenguaje de programación Python posee una serie de librerías que permiten realizar proyectos de analítica de datos de una forma muy sencilla y una de las librerías más populares es Pandas.

Oct 19th 2026

4 Weeks

Python Data Analytics Python Programming

Coursera

Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

CS: Information & Technology

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Oct 26th 2026

5-12 Weeks

Python SQL Big Data

Coursera

University of Michigan

Programação para todos (Conceitos básicos de Python) (Coursera)

CS: Programming

Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”.

Oct 19th 2026

5-12 Weeks

Programming Python Functions

Coursera

University of Leeds

Programming for Data Science (Coursera)

CS: Programming Data Science

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Oct 19th 2026

3 Weeks

Programming Python Data Science

Coursera

Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

CS: Software Engineering CS: Programming

Oct 26th 2026

5-12 Weeks

Python Object-Oriented Programming Data Visualization

Coursera

University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Sci: Biology & Life Sciences Health & Society

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Oct 12th 2026

5-12 Weeks

Genes DNA Genomes

Coursera

Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

Statistics & Data Analysis Data Science

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Oct 26th 2026

4 Weeks

Python Data Mining Data Visualization

Coursera

University of California, Irvine

The Raspberry Pi Platform and Python Programming for the Raspberry Pi (Coursera)

CS: Software Engineering

The Raspberry Pi is a small, affordable single-board computer that you will use to design and develop fun and practical IoT devices while learning programming and computer hardware. In addition, you will learn how to set up up the Raspberry Pi environment, get a Linux operating system running, and write and execute some basic Python code on the Raspberry Pi. You will also learn how to use Python-based IDE (integrated development environments) for the Raspberry Pi and how to trace and debug Python code on the device.

Oct 12th 2026

4 Weeks

Programming Python Computer Programming