Data Analysis Courses for Beginners
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.
Popular Beginner Data Analysis Courses and Certifications
Fractal Analytics
Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Critical Thinking and Problem Solving, Data Analysis Expressions (DAX), Human Centered Design, SQL, Machine Learning, Problem Solving, Python Programming
Skills you'll gain: Requirements Management, Solution Design, Business Analysis, Requirements Elicitation, Stakeholder Management, Business Analysis Tools, Stakeholder Engagement, Stakeholder Analysis, Stakeholder Communications, Business Strategies, Business Process Modeling, Business Modeling, Business Strategy, Business Process, Process Analysis, Business Process Management, Business Intelligence, Agile Methodology, Performance Measurement
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Plot (Graphics), Data Presentation, Data Visualization Software, R (Software), R Programming, Statistical Reporting, Software Documentation, Web Applications, Hypertext Markup Language (HTML), Package and Software Management
Johns Hopkins University
Skills you'll gain: Biostatistics, Logistic Regression, Regression Analysis, Statistical Methods, Statistical Analysis, Data Literacy, Quantitative Research, Public Health, Statistical Modeling, Statistics, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Risk Modeling
Skills you'll gain: Prompt Engineering, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, AI Integrations, Business Analytics, Data Storytelling, Artificial Intelligence, Business Process Automation, Generative AI, Stakeholder Communications, Business Requirements, AI Workflows, Requirements Elicitation, Requirements Analysis, Workflow Management, Process Optimization
University of California, Irvine
Skills you'll gain: Model Evaluation, Unsupervised Learning, Regression Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Statistical Methods, Fraud detection, Machine Learning, Machine Learning Algorithms, Correlation Analysis, Scatter Plots, Market Analysis, Classification Algorithms
Skills you'll gain: Statistical Methods, Regression Analysis, Statistics, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Programming, Probability & Statistics, R (Software), R Programming, Statistical Reporting, Descriptive Statistics, Statistical Modeling, Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Logistic Regression, Data Storytelling, Power BI, Data Presentation, Forecasting
Emory University
Skills you'll gain: Customer Analysis, Statistical Analysis, Target Market, Marketing Analytics, Market Analysis, Customer Insights, Market Research, Data Analysis, Data Analysis Software, Strategic Marketing, Business Research, Correlation Analysis, Marketing, Marketing Strategies, Exploratory Data Analysis, Data-Driven Decision-Making, Branding, Marketing Strategy and Techniques, Consumer Behaviour, Model Evaluation
University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Analytics, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning
Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, Software Versioning, Data Literacy, General Science and Research, Data Analysis, R Programming, Development Environment, Statistical Reporting, Software Installation
Skills you'll gain: Financial Modeling, Financial Statements, Data Import/Export, Data Cleansing, Financial Forecasting, Financial Statement Analysis, Risk Modeling, Risk Management Framework, Capital Budgeting, Risk Management, Financial Auditing, Financial Data, Portfolio Risk, Risk Analysis, Budgeting, Credit Risk, Predictive Modeling, Power BI, Microsoft Excel, Data Visualization
Skills you'll gain: Jupyter, R (Software), R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Rmarkdown, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Query Languages, Python Programming
In summary, here are 10 of our most popular data analysis courses
- Fractal Data Science:Â Fractal Analytics
- CBAP Certification Business Analysis Training:Â Simplilearn
- Developing Data Products:Â Johns Hopkins University
- Simple Regression Analysis in Public Health :Â Johns Hopkins University
- Generative AI: Revolutionizing Business Analysis Techniques:Â SkillUp
- Cluster Analysis, Association Mining, and Model Evaluation:Â University of California, Irvine
- Statistical Analysis and Advanced Techniques:Â Microsoft
- Survey analysis to Gain Marketing Insights:Â Emory University
- Predictive Modeling, Model Fitting, and Regression Analysis:Â University of California, Irvine
- The Data Scientist’s Toolbox: Johns Hopkins University
