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: Data Storytelling, Dashboard, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Data Analysis, Jupyter, Model Evaluation, Data Manipulation, Data Literacy, Data Transformation, Generative AI, Professional Networking, Data Import/Export
Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis
Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Data Analysis, Statistics, Statistical Modeling, Regression Analysis, Data-Driven Decision-Making, Machine Learning, Descriptive Statistics, Probability Distribution, Time Series Analysis and Forecasting
University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
Status: BestsellerSkills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Data Analysis Software, Python Programming
Status: BestsellerUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Data Literacy, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Sample Size Determination, Artificial Intelligence
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Predictive Analytics, Pandas (Python Package), Regression Analysis, Feature Engineering, Statistical Analysis, Matplotlib, Scikit Learn (Machine Learning Library), Data Visualization, NumPy, Python Programming
Skills you'll gain: Excel Formulas, Pivot Tables And Charts, Data Cleansing, Microsoft Excel, Spreadsheet Software, Google Sheets, Data Wrangling, Data Analysis, Data Quality, Data Manipulation, Data Integrity, Data Presentation, Data Preprocessing, Data Import/Export, Data Science
Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
In summary, here are 10 of our most popular statistics for data science courses
- IBM Data Science: IBM
- Python for Data Science, AI & Development: IBM
- Statistics Foundations: Meta
- What is Data Science? : IBM
- Analyze Data Science Concepts Using R: EDUCBA
- Basic Statistics: University of Amsterdam
- Data Science Fundamentals with Python and SQL: IBM
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Data Analysis with Python: IBM
- Excel Basics for Data Analysis: IBM
