Inferential statistics courses can help you learn hypothesis testing, confidence intervals, regression analysis, and sampling methods. You can build skills in interpreting data, making predictions, and drawing conclusions from sample data. Many courses introduce tools like R and Python for statistical analysis, along with software such as SPSS and Excel, that support applying these statistical techniques to real-world data sets.

Skills you'll gain: Architectural Drawing, AutoCAD, Architectural Design, Building Design, Architecture and Construction, Technical Drawing, Drafting and Engineering Design, Computer-Aided Design, Engineering Plans And Specifications, Sustainable Architecture, Architectural Engineering, Conceptual Design, Engineering Documentation, Construction Estimating, Diagram Design, Functional Design, Spatial Analysis, Cost Estimation
★ 4.4 (15) · Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Modeling, Financial Analysis, Working Capital, Business Valuation, Financial Data, Financial Forecasting, Income Statement, Balance Sheet, Forecasting, Business Metrics, Accounting and Finance Software, Cash Flows, Budgeting, Variance Analysis, Trend Analysis, Spreadsheet Software, Operational Efficiency, Google Sheets
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Mapping, Data Ethics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Data Transformation, Plot (Graphics), Data Analysis, Data Cleansing, Data Preprocessing, Memory Management, Sampling (Statistics)
★ 4.7 (12) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Visualization, Statistical Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation, R (Software)
★ 5 (20) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Looker (Software), Pivot Tables And Charts, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages
★ 5 (7) · Beginner · Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Materials science, Advanced Mathematics, Physics, Physical Science, Mathematical Modeling
★ 4.9 (12) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Visualization, Plot (Graphics), Data Manipulation, Statistical Visualization, Data Cleansing, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming
★ 4.6 (17) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Cryptographic Protocols, Server Side, Web Development, Regression Analysis, Apache, Model Training, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Secure Coding, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Python Programming
★ 4.8 (75) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming
★ 4.8 (34) · Beginner · Guided Project · Less Than 2 Hours

University of California, Irvine
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Statistical Visualization, Data Literacy, Data Visualization Software, Tableau Software, Data Ethics, Exploratory Data Analysis, Data Integrity, Correlation Analysis
★ 4 (10) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Data Processing, Data Transformation
★ 4.5 (43) · Intermediate · Course · 1 - 4 Weeks