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
University of Colorado Boulder
Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Correlation Analysis, Data Science, Sample Size Determination, Artificial Intelligence
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Graphing, Pandas (Python Package), Data Capture, Data Science, Data Wrangling, Jupyter, Data Manipulation, Python Programming, Data Collection
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
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, Extract, Transform, Load, Data Storytelling, SQL, Data Visualization, Dashboard Creation, Database Design, Data Security, Data Migration, Data Governance, Data Presentation, Descriptive Statistics, Data Store, Data Management, Relational Databases, Databases, Data Architecture, Excel Formulas, Business Intelligence
Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Pandas (Python Package), Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
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
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
Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Linux Commands, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science
University of California, Davis
Skills you'll gain: Presentations, Data Presentation, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Modeling, Database Design, Performance Metric, Business Metrics, Analytical Skills, Business Analytics, Text Mining, Data Science, Data Import/Export, Target Audience
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Data Processing, Data Science, Predictive Analytics, Model Training, Analytics, Model Optimization, Pandas (Python Package), Statistical Modeling, Data Visualization, Python Programming
In summary, here are 10 of our most popular statistics for data science courses
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Python Project for Data Science: IBM
- Statistics for Data Science with Python: EDUCBA
- Probability and Statistics: To p or not to p?: University of London
- IBM Data Management: IBM
- Python for Data Science: Fractal Analytics
- Data Science: Foundations using R: Johns Hopkins University
- Business Statistics and Analysis: Rice University
- Introduction to Data Analytics: IBM
- IBM Data Engineering: IBM
