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.

Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Performance Measurement, Data Cleansing, Data Transformation, Performance Analysis, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Feature Engineering, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Analysis, Analytics, HR Tech, Trend Analysis, Correlation Analysis, Data-Driven Decision-Making, R Programming, Data Preprocessing, Data Cleansing
Beginner · Course · 1 - 4 Weeks

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, LLM Application, Generative AI Agents, Make.com, ChatGPT, AI Orchestration, AI Workflows, Generative AI, Agentic systems, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Large Language Modeling, Artificial Intelligence, Workflow Management, Automation, Creativity, Machine Learning, Content Management, Digital Marketing
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Interactive Data Visualization, Data Visualization, Heat Maps, Data Visualization Software, Technical Communication, Geospatial Mapping, Data Mapping, Hypertext Markup Language (HTML), GitHub, Usability, Public Health, Document Management
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Continuous Deployment, Microservices, Load Balancing
Intermediate · Project · Less Than 2 Hours

University of Cambridge
Skills you'll gain: AI Security
Beginner · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Analytical Chemistry, Chemistry, Data Analysis, Laboratory Testing, Engineering, Scientific, and Technical Instruments, Structural Analysis, Laboratory Research, Verification And Validation, Data Flow Diagrams (DFDs), Laboratory Techniques, Problem Solving, Pivot Tables And Charts, Quality Control, Technical Documentation, Data Collection, Physics
Intermediate · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks