C programming courses can help you learn syntax, data structures, algorithms, and memory management. You can build skills in debugging, optimizing code, and implementing efficient algorithms. Many courses introduce tools like GCC for compiling code, GDB for debugging, and libraries such as the Standard Template Library (STL) to enhance functionality. You'll also explore concepts like pointers, file handling, and dynamic memory allocation, which are crucial for developing robust applications.

Skills you'll gain: Game Design, Programming Principles, Python Programming, Scripting, Computer Programming, Scripting Languages, Computer Science
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting, Computational Logic, Scripting Languages, Computer Science
Beginner · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Jenkins, Terraform, Infrastructure as Code (IaC), Ansible, Package and Software Management, Kubernetes, Linux Administration, Continuous Integration, CI/CD, Git (Version Control System), Linux, Docker (Software), YAML, Application Development, Linux Commands, Microservices, Devops Tools, GitHub, Data Structures, DevOps
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard, Business Intelligence, PySpark, Data Pipelines, Analytics, Databases, Database Design, Data Architecture, Apache Airflow, Relational Databases, SQL, Python Programming
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
Beginner · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Service Oriented Architecture, API Design, Web Services, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Architecture, Web Applications, JSON, Web Development, Android Development
Intermediate · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming
Mixed · Course · 1 - 4 Weeks