How to learn C programming?

Whether you’re learning C programming for software development, systems programming, or academic purposes, having a clear goal can guide your learning. Consistent practice with coding and debugging is critical. Join communities like Stack Overflow or Reddit's r/C_Programming to ask questions and share knowledge. Work on real projects such as creating small programs. Introduction to C and C++ Specialization by Duke University on is a great starting resource.

What skills can I learn from C Programming courses on Coursera?

Coursera's C Programming courses provide learners with a robust set of skills essential for software development : Fundamental syntax and semantics of the C language Techniques for effective problem solving and algorithm development Understanding of memory management and the use of pointers Skills in writing, compiling, and debugging C programs Best practices for writing secure and efficient code Application of C in developing firmware and operating systems

Do I need any programming experience to start learning C on Coursera?

C Programming courses on Coursera are structured to accommodate all learners: Beginners without any programming experience can start with the basics of C. Those with some programming background can improve their understanding of complex C concepts. Advanced users can explore in-depth topics such as system programming and advanced data structures in C.

What certifications and credentials can I earn through C Programming courses on Coursera?

Upon completing C Programming courses on Coursera, you have the opportunity to earn credentials that can support your professional growth: Professional certificates that help confirm your understanding and skills in C programming. Specializations that explore specific applications or advanced topics within C programming. Certificates that may be valued by employers within the tech industry, reflecting your commitment to learning and developing relevant skills.

What career opportunities are available with skills in C Programming?

Proficiency in C Programming can lead to a variety of technical roles, including: Software Developer creating system software and embedded applications Systems Engineer designing and implementing system solutions Embedded Systems Developer working on hardware-software integration Performance Engineer optimizing software for speed and efficiency Technical Support Engineer troubleshooting and resolving code issues

Are there free C programming courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including C programming. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top C Programming Courses - Learn C Programming Online

Explore the C Programming Course Catalog

University of Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software
4.5
Rating, 4.5 out of 5 stars
4K reviews
Advanced · Specialization · 3 - 6 Months
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
839 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
DeepLearning.AI
AI Python for Beginners
Skills you'll gain: Artificial Intelligence, Jupyter, Python Programming, Data Analysis, OpenAI, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API), Development Environment, Debugging
4.8
Rating, 4.8 out of 5 stars
95 reviews
Beginner · Course · 1 - 4 Weeks
Status: New
University of California, Davis
Web Development for Beginners
Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Web Applications, Front-End Web Development, Web Content, Mobile Development, Graphic and Visual Design, Web Servers, User Interface and User Experience (UI/UX) Design
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Beginner · Specialization · 3 - 6 Months
University of Maryland, College Park
Survey Data Collection and Analytics
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Business Research, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Data Analysis, Statistical Modeling, Qualitative Research, Statistical Methods, Statistical Programming, Data Cleansing
4.4
Rating, 4.4 out of 5 stars
1.4K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Data Collection and Processing with Python
Skills you'll gain: JSON, Data Processing, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
4.7
Rating, 4.7 out of 5 stars
4K reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
From Data to Insights with Google Cloud
Skills you'll gain: Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Data Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Analytics, Data Warehousing, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Performance Tuning, Cloud API, Cloud Computing
4.6
Rating, 4.6 out of 5 stars
4.7K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Engineering
Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, Data Mart, Data Security
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation, File Management
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling, Statistics
4.4
Rating, 4.4 out of 5 stars
761 reviews
Advanced · Specialization · 3 - 6 Months
University of Colorado System
Algorithms, Data Collection, and Starting to Code
Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Application Development, Program Development, C (Programming Language), Programming Principles, Algorithms, Computer Programming, Data Structures
4.6
Rating, 4.6 out of 5 stars
375 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Statistical Analysis with R for Public Health
Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Quantitative Research, Exploratory Data Analysis, Probability & Statistics, Statistics, Statistical Methods, Data Wrangling, Biostatistics, Time Series Analysis and Forecasting, Probability Distribution, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months