What skills can I learn in programming courses on Coursera?

Programming courses on Coursera provide learners with essential skills that are fundamental to various computing tasks and technology careers, including: Understanding basic to advanced concepts of programming languages such as Python , Java , and C++ Writing clean, efficient, and error-free code Developing algorithms to solve problems and perform data analysis Applying object-oriented programming (OOP) principles to organize software design Using version control systems like Git to manage code changes Developing web and mobile applications Implementing security best practices in software development

Do I need prior experience in coding to enroll in these programming courses?

Coursera's programming courses are designed to meet learners at their point of need, regardless of their prior experience: Beginners: No prior experience is necessary. Introductory courses start with the basics of programming and build foundational skills. Intermediate Learners: Some understanding of basic programming concepts is helpful. Courses focus on more complex aspects of programming and software development. Advanced Learners: For those with solid programming experience, advanced courses explore specialized areas like software engineering, advanced data structures, and complex algorithmic challenges.

What certifications and credentials can I earn by studying programming on Coursera?

Participating in programming courses on Coursera can lead to a variety of credentials that can highlight your skills and development: Certificates of Completion: You can earn a certificate for each programming course completed, which can showcase your proficiency in specific programming languages or technologies. Professional Certificates: These certificates are intended to prepare you for specific technology roles by combining coursework that builds a comprehensive skill set. Specializations: These are focused on particular areas of programming and are designed to provide in-depth knowledge and practical skills that can be beneficial in the tech industry.

What career opportunities are available with skills in programming?

Mastering programming opens up a wide array of career opportunities across multiple industries, including: Software Developer : Building and maintaining software systems. Web Developer : Creating and optimizing websites and web applications. Mobile App Developer: Designing applications for iOS and Android devices. Systems Engineer : Ensuring that complex, multi-part systems function properly together. Data Analyst : Analyzing data to help companies make informed decisions. DevOps Engineer : Bridging the gap between development and operations in software production.

How can I purchase programming training courses for my team?

Looking to enhance your team's programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our programming training options and make a purchase, please visit our Coursera for Teams page.

Top Programming Courses - Learn Programming Online

Explore the Programming Course Catalog

Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, SQL, Predictive Modeling, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
143K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Data Analysis with R Programming
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures
4.8
Rating, 4.8 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Vanderbilt University
Introduction to Programming with MATLAB
Skills you'll gain: Matlab, Computer Programming, Programming Principles, UI Components, Software Design, Debugging, Mathematical Software, Development Environment, Computer Science, File Management, Algorithms, Data Import/Export, Data Structures, Engineering Calculations, Plot (Graphics), Data Management
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado System
C# Programming for Unity Game Development
Skills you'll gain: Unity Engine, Debugging, Object Oriented Programming (OOP), Video Game Development, C# (Programming Language), Game Design, Software Design Patterns, Computer Programming, Event-Driven Programming, Data Structures, Integrated Development Environments, Data Storage, Application Development, Software Design, Program Development, UI Components, Cross Platform Development, Scripting, Data Import/Export, Development Environment
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Dartmouth College
C Programming with Linux
Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Computer Programming Tools, Embedded Systems, Embedded Software, Programming Principles, Computer Engineering, Linux Servers, Linux, File Systems, System Programming, Build Tools, Data Structures, Unix, Program Development, Development Environment, Algorithms, Computer Architecture, Software Documentation
4.6
Rating, 4.6 out of 5 stars
399 reviews
Beginner · Specialization · 3 - 6 Months
Ball State University
Introduction to Programming
Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Java Programming: Solving Problems with Software
Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing
4.6
Rating, 4.6 out of 5 stars
8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Dynamic Programming, Greedy Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Computational Logic, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Program Development, Analysis, Design Strategies, Data Analysis
4.6
Rating, 4.6 out of 5 stars
221 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Simplilearn
Programming with C
Skills you'll gain: C (Programming Language), Data Structures, C++ (Programming Language), Computer Programming, Programming Principles, Data Management, System Programming, Data Storage, Algorithms, Development Environment
4
Rating, 4 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Santa Cruz
C for Everyone: Structured Programming
Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems
4.6
Rating, 4.6 out of 5 stars
770 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
567 reviews
Beginner · Course · 1 - 3 Months