Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Load Balancing, Large Language Modeling, Containerization, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, API Design, MLOps (Machine Learning Operations), Image Quality
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Depreciation, Risk Analysis, Actuarial Science, Portfolio Risk, Value Engineering, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Operational Analysis, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Analysis, Data-Driven Decision-Making, Capital Expenditure, Feasibility Studies, Estimation, Income Tax, Economics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Scalability, Event-Driven Programming, Functional Design, Application Development, User Flows, Application Design, Computer Programming
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, AI Enablement, Business Analytics, Operational Analysis, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Process Improvement and Optimization, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Decision Making, Resource Allocation, Performance Analysis, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vibe coding, Responsible AI, Google Gemini, Google Cloud Platform, Generative AI, Process Analysis, Artificial Intelligence, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Responsible AI, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard
Intermediate · Course · 1 - 4 Weeks