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

Northeastern University
Basic Programming in Python II
Skills you'll gain: Web Applications, Web Development, Object Oriented Programming (OOP), Application Development, Python Programming, Computer Programming, Programming Principles, Data Science, Data Analysis, Scripting, Maintainability, Debugging
Beginner · Course · 1 - 4 Weeks
Stanford University
Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Computational Thinking, Network Analysis, Analysis, Programming Principles, Probability & Statistics, Network Routing, Probability, Operations Research, Design Strategies
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Using Python to Access Web Data
Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Access, TCP/IP, Python Programming, Scripting, Hypertext Markup Language (HTML), Data Capture, Text Mining
4.8
Rating, 4.8 out of 5 stars
44K reviews
Beginner · Course · 1 - 3 Months
Status: New
Vanderbilt University
Generative AI SQL Database Specialist with ChatGPT
Skills you'll gain: Prompt Engineering, ChatGPT, Database Design, Productivity, Data Migration, Generative AI, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Database Architecture and Administration, Technical Design, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making
4.8
Rating, 4.8 out of 5 stars
5.8K reviews
Intermediate · Specialization · 1 - 3 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Specialization · 1 - 3 Months
EDUCBA
Embedded C Programming Essentials
Skills you'll gain: Embedded Software, Debugging, Embedded Systems, Integrated Development Environments, C (Programming Language), Development Environment, Computer Architecture, Computer Programming
4.8
Rating, 4.8 out of 5 stars
50 reviews
Intermediate · Course · 1 - 4 Weeks
University of Virginia
Digital Product Management
Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, Customer Analysis, Innovation, Analytics, Business Analytics
4.7
Rating, 4.7 out of 5 stars
9.6K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Python Basics
Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
IBM
IBM Data Architecture
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store
4.6
Rating, 4.6 out of 5 stars
6.6K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Analyze Data to Answer Questions
Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback
4.6
Rating, 4.6 out of 5 stars
12K reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Algorithmic Toolbox
Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies
4.6
Rating, 4.6 out of 5 stars
13K reviews
Intermediate · Course · 1 - 3 Months