Coursera

Practical Python for AI Coding 2 (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: 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

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

University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

Statistics & Data Analysis Data Science

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Nov 9th 2026

5-12 Weeks

Python SQL Linear Regression

Coursera

DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

CS: Software Engineering Computer Science

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Nov 9th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Coursera

Board Infinity

Excel Essentials and Beyond (Coursera)

Statistics & Data Analysis

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data organization techniques. As you advance, you'll delve into data visualization, transforming raw data into captivating stories.

Nov 9th 2026

5-12 Weeks

Excel Microsoft Excel Data Visualization

Coursera

Coursera Instructor Network

Building Production-Ready Apps with Large Language Models (Coursera)

Data Science

In the age of artificial intelligence (AI), it is essential to learn how to apply the power of large language models (LLMs) for building various production-ready applications. In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application.

Nov 9th 2026

1 Week

Python Artificial Intelligence AI

Coursera

Rice University

An Introduction to Interactive Programming in Python (Part 2) (Coursera)

CS: Software Engineering CS: Programming

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 2nd 2026

4 Weeks

Game Programming Python

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.

Nov 9th 2026

5-12 Weeks

Genes DNA Genomes

Coursera

Starweaver

Matlab and Simulink Basics (Coursera)

CS: Software Engineering

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

Nov 9th 2026

4 Weeks

MATLAB Data Analysis Computer Programming

Coursera

Rice University

Algorithmic Thinking (Part 1) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026

4 Weeks

Python Computing Algorithms

Coursera

Johns Hopkins University

Algorithms for DNA Sequencing (Coursera)

Statistics & Data Analysis Data Science

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.

Nov 9th 2026

4 Weeks

Python Algorithms DNA

Coursera

University of Michigan

Uso de bases de datos con Python (Coursera)

CS: Software Engineering Computer Science

Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos.

Nov 9th 2026

5-12 Weeks

Programming Python Databases

Coursera

Illinois Tech

Introduction to Open Source Application Development (Coursera)

CS: Software Engineering

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Nov 9th 2026

5-12 Weeks

Programming Python Object-Oriented Programming

Coursera

Universidad Austral

Fundamentos de la visualización de datos con Tableau (Coursera)

Statistics & Data Analysis Data Science

En este curso descubrirás qué es la visualización de datos y cómo podemos usarla para ver y comprender mejor los datos. Con Tableau, examinaremos los conceptos fundamentales de visualización de datos y exploraremos la interfaz de Tableau, identificando y aplicando las diversas herramientas que Tableau tiene para ofrecer. Este curso está diseñado para el alumno que nunca ha usado antes Tableau, o que puede necesitar un repaso, o desea explorar Tableau con más profundidad.

Nov 9th 2026

4 Weeks

Data Visualization Tableau Coursera Plus