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.

Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Microsoft Office, Spreadsheet Software, Data Visualization, Trend Analysis, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Bash (Scripting Language), Shell Script, Unix Shell, Data Analysis, Data Cleansing, Unix Commands, Data Transformation, Data Preprocessing, Data Processing, Command-Line Interface, Data Quality, Scripting, Exploratory Data Analysis, Data Manipulation, Linux Commands, Scripting Languages, Query Languages
Beginner · Course · 1 - 4 Weeks
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Statistical Analysis, Statistical Programming, Data Processing, Data Preprocessing, Data Integration, Data Cleansing, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Vital Signs, Respiration, Respiratory Care, Pulmonology, Pain Management, Physiology, Health Assessment, Cardiology, Thermal Management, Neurology, Patient Evaluation, Anatomy, Clinical Assessment
Mixed · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Analysis, Data Collection, Data Cleansing, Data Processing, Data Quality, Data Analysis Software, Data Science, Business Analytics, Feature Engineering, Data Visualization, Data Validation, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Preprocessing, Data Analysis, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tableau Software, Business Intelligence, Interactive Data Visualization, Business Analytics, Data Storytelling, Data Visualization Software, Dashboard, Data Analysis, Forecasting, Data Preprocessing, Data Manipulation, Trend Analysis, Data Architecture
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Structures
Beginner · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, NumPy, Regression Analysis
Beginner · Course · 1 - 3 Months