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
The Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export
University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Statistical Methods, Data Analysis, Statistical Analysis
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Analysis, Descriptive Statistics
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
Skills you'll gain: Dashboard, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Pandas (Python Package), Data Science, Data Processing, Matplotlib, Jupyter, Python Programming, Data Collection
Status: BestsellerMultiple educators
Skills you'll gain: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, R Programming, Data Import/Export, Programming Principles, Predictive Modeling, Data Science, Unsupervised Learning, Machine Learning, Project Management
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning
Status: Job SkillsGoogle
Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Status: Job SkillsSkills you'll gain: Data Storytelling, Dashboard, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Generative AI, SQL, Data Wrangling, Interactive Data Visualization, Data Presentation, Data Analysis, Data Manipulation, IBM Cognos Analytics, Interviewing Skills, Excel Formulas, Data Import/Export, Microsoft Excel, Python Programming
Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Business Analytics, Sample Size Determination, Statistical Analysis, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Business Communication
In summary, here are 10 of our most popular statistics for data science courses
- Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
- Probability Foundations for Data Science and AI: University of Colorado Boulder
- SQL for Data Science: University of California, Davis
- Applied Data Science with Python: University of Michigan
- Python Project for Data Science: IBM
- Data Science Foundations: University of London
- Analyze Data Using R for Statistical Analytics: EDUCBA
- Google Data Analytics: Google
- Introduction to Data Science in Python: University of Michigan
- Inferential Statistics: Duke University
