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 Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Skills you'll gain: Data Warehousing, Database Administration, SQL, Database Design, Relational Databases, Linux Commands, Data Pipelines, IBM Cognos Analytics, Database Management, Apache Kafka, Apache Airflow, Bash (Scripting Language), Database Architecture and Administration, Shell Script, IBM DB2, Extract, Transform, Load, Data Visualization, Dashboard, File Management, MySQL
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics
Yale University
Skills you'll gain: Positivity, Mental Health, Goal Setting, Growth Mindedness, Stress Management, Resilience, Productivity, Self-Awareness, Compassion, Behavioral Health, Psychology, Mindfulness, Social Impact, Decision Making
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Microsoft Office, Data Analysis Expressions (DAX), Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills
University of California, Davis
Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Electrical Engineering, Chemical Engineering, Thermal Management, Electronic Components, Electronics Engineering
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Skills you'll gain: Data Literacy, Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals
Macquarie University
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Inference, Spreadsheet Software, Data-Driven Decision-Making, Box Plots, Probability Distribution, Histogram, Data Visualization Software, Variance Analysis
In summary, here are 10 of our most popular statistics for data science courses
- Inferential Statistical Analysis with Python: University of Michigan
- Statistics and Applied Data Analysis: University of Colorado Boulder
- Python for Data Science: Fractal Analytics
- Fitting Statistical Models to Data with Python: University of Michigan
- IBM Data Warehouse Engineer: IBM
- Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
- The Science of Well-Being for Teens: Yale University
- Excel Skills for Business: Essentials: Macquarie University
- Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
- Data – What It Is, What We Can Do With It: Johns Hopkins University
