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
The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Modeling, Data Analysis Software, Correlation Analysis, Descriptive Statistics, Statistical Inference
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R (Software), Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Clinical Research Ethics, Data Mapping, Clinical Informatics, Data Quality, Natural Language Processing, grep, Informatics, Text Mining, R Programming
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Data Literacy, Statistical Programming, Predictive Analytics, Advanced Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Science, Statistics, Data Analysis, Statistical Analysis, Statistical Software, Descriptive Statistics, Quality Improvement, Process Engineering
Microsoft
Skills you'll gain: Microsoft Visual Studio, R (Software), Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Statistical Programming, Program Development, Code Reusability, Development Environment, Data Manipulation, Computational Logic, Scripting, Functional Design, Software Installation
University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software
Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting, Case Studies, Programming Principles
Skills you'll gain: Customer Retention, Customer Insights, Statistical Methods, Statistical Analysis, R Programming, Data Analysis, Statistics, Performance Metric, Business Metrics, Analytics, R (Software), Statistical Programming, Product Strategy, Customer Engagement
Johns Hopkins University
Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Processing, Data Integration, Data Preprocessing, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, R (Software), MySQL, File Management, SQL, Application Programming Interface (API)
Skills you'll gain: Predictive Modeling, People Analytics, Feature Engineering, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Data Analysis, Business Analytics, Analytics, Model Evaluation, Trend Analysis, Correlation Analysis, Data-Driven Decision-Making, Statistical Hypothesis Testing, R Programming, Data Preprocessing, Data Cleansing, Data Validation
In summary, here are 10 of our most popular data analysis courses
- Practical Time Series Analysis:Â The State University of New York
- Data Science with R:Â Duke University
- Clinical Data Science:Â University of Colorado System
- Analyze Data Using R for Statistical Analytics:Â EDUCBA
- Inferential Statistics:Â Duke University
- Data Science Methods for Quality Improvement:Â University of Colorado Boulder
- The R Programming Starter Course:Â Microsoft
- Statistical Methods:Â University of Leeds
- Analyze Data Using R for Statistical and Predictive Modeling:Â EDUCBA
- Evaluate and Explain Retention Curves:Â Coursera
