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.

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, OpenAI, Application Development, Web Applications, Python Programming, Web Development, User Interface (UI)
Intermediate · Guided Project · Less Than 2 Hours

University of California San Diego
Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Beginner · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Structures, 3D Modeling, Computational Logic, Visualization (Computer Graphics), Design, Generative Model Architectures, Python Programming, Animations, Scripting, Computer Programming, Automation
Beginner · Course · 1 - 3 Months

Universidade de SĂ£o Paulo
Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Performance Testing, Algorithms, Computer Science, Data Structures, Python Programming, Computational Thinking, Software Testing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Application Deployment, Microsoft Azure, Cloud Services, Cloud Development, Cloud Applications, Natural Language Processing, Web Applications, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Rice University
Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks