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.

Packt
Skills you'll gain: Geographic Information Systems, Package and Software Management, Scripting, Statistical Analysis, Probability & Statistics, JSON, Image Analysis, Data Validation, Web Scraping, Intelligence Collection and Analysis, Data Analysis, Statistics, Python Programming, Data Processing, Restful API, File Transfer Protocol (FTP), Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Embeddings, AI Personalization, OpenAI API, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Data Visualization, Data Preprocessing, Python Programming, Dimensionality Reduction
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Structures, Data Dictionary, Python Programming, Programming Principles, Data Manipulation, Data Access, Data Processing, Computational Logic, Scripting, File I/O, Debugging, Computational Thinking, Jupyter, Maintainability, Computer Programming Tools, Scripting Languages
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, Python Programming, Programming Principles, Computer Programming, Program Development, Object Oriented Programming (OOP), Scripting, Debugging, Scripting Languages, Algorithms, Functional Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Debugging, Algorithms, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks