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
Universidad Austral
Aprende a programar con Python
Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Relational Databases, Object-Relational Mapping, Software Design, Test Driven Development (TDD), Database Management, Unit Testing, Database Design, SQL, Debugging, Data Structures, Python Programming, JSON, File Management, Scripting, Software Installation, Development Environment, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
2.2K reviews
Beginner · Specialization · 3 - 6 Months
University of London
Foundations of Data Science: K-Means Clustering in Python
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
717 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Northwestern University
Modern Robotics, Course 1: Foundations of Robot Motion
Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Torque (Physics), Simulation and Simulation Software, Matlab, Linear Algebra, Angular
4.7
Rating, 4.7 out of 5 stars
990 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Introduction to Web Development with HTML, CSS, JavaScript
Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Development Tools, Cascading Style Sheets (CSS), Front-End Web Development, Web Design, Javascript, Interactive Design, Web Applications, Full-Stack Web Development, Back-End Web Development
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Google
Regression Analysis: Simplify Complex Data Relationships
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Advanced Analytics, Correlation Analysis, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Variance Analysis, Machine Learning Methods, Python Programming
4.7
Rating, 4.7 out of 5 stars
524 reviews
Advanced · Course · 1 - 3 Months
Eindhoven University of Technology
Improving your statistical inferences
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution
4.9
Rating, 4.9 out of 5 stars
795 reviews
Intermediate · Course · 1 - 3 Months
Duke University
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Probability Distribution
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Applied Social Network Analysis in Python
Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Pandas (Python Package), Applied Machine Learning, Matplotlib, Predictive Modeling, Simulations, Algorithms
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Google Cloud
API Design and Fundamentals of Google Cloud's Apigee API Platform
Skills you'll gain: API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Application Lifecycle Management, Proxy Servers, Software Design Documents, Software Documentation, Authentications
4.7
Rating, 4.7 out of 5 stars
2.4K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Practical Machine Learning
Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection
4.5
Rating, 4.5 out of 5 stars
3.3K reviews
Mixed · Course · 1 - 4 Weeks
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory
4.7
Rating, 4.7 out of 5 stars
564 reviews
Intermediate · Course · 1 - 3 Months