Statistics for Data Analysis Courses
Statistics for data analysis courses can help you learn descriptive statistics, inferential statistics, hypothesis testing, and regression analysis. You can build skills in data visualization, interpreting results, and making data-driven decisions. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and creating visual representations of data.
Popular Statistics for Data Analysis Courses and Certifications
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming
Duke University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, R (Software), Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution
Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Statistical Software, Statistical Programming, Data Manipulation
Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling
Skills you'll gain: Stored Procedure, MySQL Workbench, SQL, Data Cleansing, Data-Driven Decision-Making, MySQL, Exploratory Data Analysis, Database Design, Data Presentation, Data Manipulation, Data Integration, Relational Databases, Data Import/Export, Database Management, Query Languages, Database Software, Report Writing, GitHub, Performance Tuning, Jupyter
Fractal Analytics
Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Case Studies, MySQL Workbench
Google
Skills you'll gain: Data Presentation, Interactive Data Visualization, Google Gemini, Analytics, Business Analytics, Data Wrangling, AI Personalization, Artificial Intelligence, Model Evaluation, Performance Analysis, AI Enablement, AI literacy, AI Workflows, Generative AI, Simulation and Simulation Software, Productivity Software, Google Workspace, Responsible AI
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Big Data, Data Visualization, Microsoft Excel, Data Analysis, IBM Cognos Analytics, Statistical Visualization, Apache Hadoop, Statistical Analysis, Analytical Skills, Dashboard Creation, Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software
Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, Dashboard, Responsible AI, Dashboard Creation, Interactive Data Visualization, Data Ethics, Generative AI, Infographics, Applied Machine Learning, Data Visualization, Anomaly Detection, Time Series Analysis and Forecasting, Root Cause Analysis, Model Evaluation, AI literacy, Risk Modeling, Predictive Analytics, Automation
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, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
In summary, here are 10 of our most popular statistics for data analysis courses
- Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
- Inferenzstatistik: Duke University
- Data Analysis in R with RStudio & Tidyverse: Codio
- Statistics You Need to Know for Machine Learning: SAS
- SQL for Data Analysis and Business Insights: Coursera
- Data Analysis Using SQL: Fractal Analytics
- AI for Data Analysis: Google
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- Data Analysis and Visualization Foundations: IBM
- Microsoft Generative AI for Data Analysis: Microsoft
