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: Quality Management, Project Closure, Scope Management, Team Management, Sprint Retrospectives, Project Management, Project Planning, Agile Project Management, Quality Assurance, Backlogs, Team Leadership, Project Scoping, Project Management Life Cycle, Stakeholder Analysis, Project Controls, Project Risk Management, Project Implementation, Change Management, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Model Evaluation, Dashboard, Image Quality, Test Script Development, Image Analysis, Test Case, Verification And Validation, Large Language Modeling, Data Visualization, Continuous Monitoring, Plotly, Text Mining, Natural Language Processing, Matplotlib, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization
Beginner · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting, Statistical Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Beginner · 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

Coursera
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, Machine Learning Methods, System Design and Implementation, Motion Graphics, Model Deployment, Software Installation, Debugging
Beginner · Specialization · 3 - 6 Months

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