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.

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months
Rice University
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

École normale supérieure
Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus
Mixed · Course · 1 - 3 Months

Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months