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
Logical Operations
Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Data Transformation, Data Import/Export, File I/O, Data Wrangling, Extensible Markup Language (XML), Data Manipulation, Data Cleansing, Spreadsheet Software, File Management, Automation, Microsoft Office, Microsoft 365, Data Science, Query Languages, Debugging, Performance Improvement, Computer Programming
University of Illinois Urbana-Champaign
Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning
Google
Skills you'll gain: Vibe coding, Prompt Patterns, AI powered creativity, Brainstorming, Planning, AI literacy, Visual Storytelling, Responsible AI, Prompt Engineering Tools, Generative AI, Data Wrangling, Data Analysis, Content Creation, Artificial Intelligence, Presentations, Business Communication, Data Visualization, Research, Project Management, Machine Learning
Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming
Johns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
Skills you'll gain: Excel Formulas, Data Storytelling, Microsoft Excel, Dashboard Creation, Dashboard, Pivot Tables And Charts, Power BI, Data-Driven Decision-Making, Microsoft Copilot, Spreadsheet Software, Extract, Transform, Load, Data Presentation, Data Visualization Software, Generative AI, Data Visualization, Data Analysis, Business Intelligence, Data Collection, Interactive Data Visualization, Business Metrics
Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Verification And Validation, Technical Communication, Software Documentation
University of California, Davis
Skills you'll gain: SQL, Data Quality, Complex Problem Solving, JSON, Business Metrics, Business Reporting, Data Validation, Data Presentation, Forecasting, Data Analysis, Predictive Analytics
Skills you'll gain: Power BI, Dashboard, Dashboard Creation, SQL, Data Security, Data Analysis, Data Modeling, Data Management, Role-Based Access Control (RBAC), Data Sharing, Security Controls, Data Access
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
Skills you'll gain: Microsoft Excel, Forecasting, Excel Formulas, Simulation and Simulation Software, Financial Forecasting, Simulations, Excel Macros, Business Analysis, Statistical Modeling, Pivot Tables And Charts, Spreadsheet Software, Data-Driven Decision-Making, Risk Analysis, Financial Modeling, Analysis, Risk Modeling, Data Analysis, Interactive Data Visualization, Data Validation, Automation
In summary, here are 10 of our most popular Data Analysis courses
- Excel VBA Macros: Forms, Files, and Data Handling: Logical Operations
- Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
- Google AI: Google
- IBM Generative AI Engineering: IBM
- R Programming: Johns Hopkins University
- Bayesian Statistics: University of California, Santa Cruz
- Unlock Business Insights with Microsoft Excel and Power BI: Microsoft
- Reproducible Research: Johns Hopkins University
- SQL Problem Solving: University of California, Davis
- Deploy and Maintain Power BI Assets and Capstone project: Microsoft
