Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Skills you'll gain: Dashboard Creation, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
University of London
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis
Skills you'll gain: Dashboard, Data Warehousing, Data Storytelling, SQL, Data Visualization, Dashboard Creation, Database Design, Data Security, Data Migration, Data Governance, Data Presentation, Descriptive Statistics, IBM DB2, Extract, Transform, Load, Data Management, Relational Databases, Databases, Data Architecture, Excel Formulas, Business Intelligence
Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Sample Size Determination, Statistical Analysis, Statistical Reporting, Statistics, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Conversion Funnel Analysis, Business Analysis, Stakeholder Communications, Decision Making
University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning
University of California, Davis
Skills you'll gain: Dashboard Creation, Dashboard, Data Storytelling, Tableau Software, Data Presentation, Peer Review, Data Visualization, Advanced Analytics, Stakeholder Analysis, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Graphing, Visualization (Computer Graphics), Data Mapping, Storyboarding
Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation
Macquarie University
Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Dashboard Creation, Data Wrangling, Excel Macros, Data Preprocessing, Spreadsheet Software, Data Validation, Data Manipulation, Data Processing, Data Presentation, Interactive Data Visualization, Data Analysis Software, Business Analytics, Data Modeling, Financial Forecasting, Analytical Skills, Predictive Modeling, Productivity Software
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, JSON
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Sample Size Determination
In summary, here are 10 of our most popular statistics for data science courses
- Python Project for Data Science: IBM
- Data Science Math Skills: Duke University
- Probability and Statistics: To p or not to p?: University of London
- IBM Data Management: IBM
- Run Inference & Hypothesis Tests: Coursera
- Methods and Statistics in Social Sciences: University of Amsterdam
- Data Science: Foundations using R: Johns Hopkins University
- Data Visualization with Tableau: University of California, Davis
- Mathematics for Machine Learning: Imperial College London
- Excel Skills for Business: Macquarie University
