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.

Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Relational Databases, Database Design, Data Architecture, NoSQL, Data Pipelines, Applied Machine Learning, MongoDB, Statistical Reporting, SQL, MySQL, Data Analysis, Python Programming
Advanced · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Quality Assurance and Control, Product Quality (QA/QC), Quality Assessment, Statistical Process Controls, Good Manufacturing Practices, Quality Management, Regulatory Affairs, Safety Standards, Regulatory Compliance, Product Testing, Standard Operating Procedure
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Unstructured Data, Data Literacy, Data Ethics, Data Modeling, Large Language Modeling, Artificial Intelligence, Deep Learning, Machine Learning, Data Quality, Innovation
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Program Evaluation, Education and Training, Teaching, Instructional and Curriculum Design, Survey Creation, Data Analysis Software, Education Software and Technology, Qualitative Research, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Case Studies, Program Development, Scripting, Data Processing, Automation, Statistical Programming, Data Manipulation, Debugging, Data Validation
Intermediate · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, AI Enablement, Artificial Intelligence, Data Ethics, Responsible AI, Cloud Solutions, Data Quality, Machine Learning, Applied Machine Learning, Solution Design, Model Deployment, Natural Language Processing, Computer Vision
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, Application Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks