Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.

National Taiwan University
Skills you'll gain: Information Systems, Information Management, Data Structures, Transportation Operations, Information Technology, Production Planning, Production Schedule, Operations Management, Business Operations, Inventory Control, Logistics, Computational Logic, Algorithms, Programming Principles, Computer Programming, Python Programming, Decision Making, Development Environment, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Ajax, jQuery, Javascript and jQuery, JSON, Django (Web Framework), Web Applications, Javascript, Debugging, Database Design, Data Modeling, Event-Driven Programming, Data Access, User Accounts, Object Oriented Programming (OOP), Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Model Training, Customer Analysis, Predictive Modeling, Scientific Visualization, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data-Driven Marketing, Logistic Regression, Data Cleansing, Data Manipulation, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Universidade de São Paulo
Skills you'll gain: Object Oriented Programming (OOP), Theoretical Computer Science, Computer Programming, Performance Testing, Algorithms, Programming Principles, Code Reusability, Computer Science, Data Structures, Python Programming, Computational Thinking, Maintainability, Test Automation, Software Testing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Python Programming, Applied Machine Learning, Model Optimization, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, AI Workflows, Unsupervised Learning
Mixed · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Data Visualization, Extract, Transform, Load, Plot (Graphics), Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Analysis, Jupyter, Graphing, Data Wrangling, Software Installation, Python Programming, Computational Thinking, Mac OS
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis
Intermediate · Course · 1 - 4 Weeks