Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Model Evaluation, Data Transformation, Data Store, Keras (Neural Network Library), Data Modeling, Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

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: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Customer Retention, Customer Insights, Statistical Methods, Statistical Analysis, R Programming, Trend Analysis, Data Analysis, Statistics, Product Improvement, Performance Metric, Business Metrics, Analytics, Statistical Hypothesis Testing, Customer Engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Data Analysis, Data Visualization, Descriptive Analytics, Exploratory Data Analysis, Data Presentation, Data Transformation, Statistics, Data Visualization Software, Data Storytelling, Statistical Methods, Technical Communication, Statistical Analysis, Microsoft Excel
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting
Build toward a degree
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Deployment, Risk Modeling, Logistic Regression, Statistical Analysis, Performance Metric
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks