Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

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

Coursera
Skills you'll gain: Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Web Development
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: Model Evaluation, Data Ethics, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Market Research, Analytical Skills, Data Collection, Data-Driven Decision-Making, Market Analysis, Market Dynamics, Marketing, Business Research, Quantitative Research, Data Analysis, Customer Insights, Marketing Strategies, Market Trend, Consumer Behaviour, Focus Group, Trend Analysis, Competitive Analysis, Strategic Decision-Making
Intermediate · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Generative AI, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Data Preprocessing, Anomaly Detection, Security Testing, Applied Machine Learning, Reinforcement Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Case Studies
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months