Data Structures and Algorithms courses can help you learn about arrays, linked lists, trees, and graph structures, along with sorting and searching algorithms. You can build skills in problem-solving, optimizing code efficiency, and analyzing algorithm complexity. Many courses introduce tools like Python, Java, or C++ for implementing these concepts, as well as platforms for coding challenges that reinforce your understanding through practical application.

University of California, Davis
Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Cloud-Native Computing, Cloud Applications, Application Deployment, Google Cloud Platform, Infrastructure as Code (IaC), Containerization, Application Performance Management, Platform As A Service (PaaS), Kubernetes, Cloud Computing, Continuous Deployment, Serverless Computing, Performance Tuning, Debugging
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Service Level, Google Cloud Platform, System Monitoring, Event Monitoring, Cloud Management, Continuous Monitoring, Application Performance Management, Identity and Access Management, Performance Tuning, Cloud Applications, Real Time Data, Data Import/Export, Query Languages
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data-Driven Decision-Making, Vector Databases, NumPy, Data Analysis, Model Evaluation, Machine Learning, Machine Learning Algorithms, Analysis, Linear Algebra, Python Programming, Classification Algorithms, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Data Preprocessing, Predictive Analytics, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Information and Technology, Data Analysis, Image Analysis, Data Processing, Data Preprocessing, NumPy, Data Validation, Metadata Management, Data Collection, Data Management
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Microsoft Power Platform, Data Analysis, Business Intelligence, Star Schema, Data Transformation, Snowflake Schema, Dashboard, Data Visualization Software, Data Integration, Data Manipulation, Data Cleansing, Interactive Data Visualization, Data Presentation, Data Import/Export
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, Artificial Neural Networks, Deep Learning, Embeddings, Cloud Computing, Feature Engineering, Data Pipelines, Model Evaluation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks