Programming Core Courses

Packt

Java Core Review and Interview Guide

Master Java concepts from versions 10-24 and ace technical interviews with comprehensive coverage of JVM, memory management, concurrency, and modern features like virtual threads.

• Coursera
• 1 day 2 hours 32 minutes
• Self-Paced
• Paid Course

EDUCBA

Octave Programming: Analyze, Apply & Implement

Master GNU Octave for scientific computing with advanced matrix operations, 2D/3D plotting, scripting automation, and robust error handling techniques.

• Coursera
• 8 hours 42 minutes
• Self-Paced
• Paid Course

Packt

Computer Programming for Absolute Beginners

Master essential programming concepts and coding techniques to launch your programming career with confidence across any mainstream language.

• Coursera
• 16 hours 15 minutes
• Self-Paced
• Paid Course

EDUCBA

Oracle PL/SQL Programming: Apply, Build & Optimize

Master Oracle PL/SQL fundamentals through hands-on practice with control structures, cursors, data types, and SQL integration for efficient database programming.

• Coursera
• 6 hours 56 minutes
• Self-Paced
• Paid Course

EDUCBA

C Programming on Linux: Build, Compile & Apply

Master C programming on Linux with GCC compilation, operators, loops, functions, pointers, and advanced concepts like variadic functions and command-line arguments.

• Coursera
• 15 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Prompt Engineering with GPT: Programming for Custom Content

Master prompt engineering to create a dynamic multiple-choice quiz generator using Python and GPT-3, customizing topics, questions, and answers for efficient educational content creation.

• Coursera
• 2 hours 42 minutes
• Self-Paced
• Paid Course

Edureka

Programming with Golang

Master Go programming: from basics to advanced concepts, including concurrency, error handling, and best practices. Develop expertise in efficient coding and software development.

• Coursera
• 13 hours 36 minutes
• Self-Paced
• Paid Course

Python Programming Fundamentals

Master Python fundamentals—syntax, data structures, control flow, debugging, and version control with Git—to write clean scripts and build a professional GitHub portfolio for entry-level developer roles.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

R Programming: Data Analysis and Modeling

Dive into R's data science capabilities with data manipulation, analysis, visualization using ggplot2, and statistical/machine learning modeling for predictions.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

R Programming: Conditionals, Loops, Functions, and Packages

Master R programming fundamentals including conditionals, loops, functions, and packages to build efficient, reusable code in this 5.5-hour hands-on programming course.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Packt

Python Programming for Quantum Computing

Learn Python programming fundamentals tailored for quantum computing. Master core concepts, control flow, data manipulation, functions, and object-oriented programming through hands-on coding in Jupyter notebooks.

• Coursera
• 8 hours 2 minutes
• Self-Paced
• Paid Course

Packt

Python Basics and Core Concepts

Master Python fundamentals from environment setup to object-oriented programming, covering variables, functions, data types, and best practices for confident program building.

• Coursera
• 15 hours 53 minutes
• Self-Paced
• Paid Course

Packt

Python Programming And Libraries for Data Science

Master Python libraries like NumPy, Pandas, and Matplotlib for data science, plus object-oriented programming, file handling, and exception management through hands-on exercises.

• Coursera
• 8 hours 24 minutes
• Self-Paced
• Paid Course

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• Self-Paced
• Paid Course

Python Programming Fundamentals

Master essential Python programming skills through hands-on practice with syntax, data structures, control flow, debugging, and version control. Build a foundation for writing clean, functional code and creating a professional GitHub portfolio.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course