Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.

Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy, Data Visualization, Data Analysis
Intermediate · Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

University of Lausanne
Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Collection, Machine Learning
Beginner · Course · 1 - 3 Months
University of Pennsylvania
Skills you'll gain: Demography, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Economics, Policy, and Social Studies, World History, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Preprocessing, Data Analysis, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pinterest, Advertising Campaigns, Digital Advertising, Performance marketing, Content Performance Analysis, Customer Insights, Social Media Campaigns, Campaign Management, Advertising, Performance Reporting, Web Analytics, Report Writing, Marketing Analytics, Digital Marketing, Marketing Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Data Preprocessing, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Feature Engineering, Forecasting, Data-Driven Decision-Making, Data Preprocessing, Trend Analysis, Predictive Analytics, Predictive Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Analysis, Pandas (Python Package), Jupyter
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
Mixed · Course · 1 - 4 Weeks