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: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, R Programming, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Analysis, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, AI Enablement, Data Ethics, Marketing Analytics, Trend Analysis, Case Studies, Artificial Intelligence, Strategic Planning, Marketing Strategies, Business Ethics
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
Mixed · 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, Governance, Policy Development, Social Determinants Of Health, Sustainable Development, Health Assessment, Systems Analysis, Predictive Modeling, Environmental Issue, Data Collection, Machine Learning
Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Sampling (Statistics), Health Informatics, Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Python Programming, Machine Learning Algorithms, NumPy, Model Evaluation, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis, SQL, Data Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, GitHub, Statistical Modeling, NumPy
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
Intermediate · Course · 3 - 6 Months