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: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative AI, Generative Model Architectures, Applied Machine Learning, Natural Language Processing
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Marketing Channel, Marketing Effectiveness, Sales Strategy, Sales Process, Facebook, Sales, Marketing, Lead Generation, Campaign Management, Marketing Analytics, Social Media Marketing, Web Analytics, Business Strategy, Analytics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Hyper-V, Windows Servers, Virtualization and Virtual Machines, Cloud Infrastructure, Containerization, Hybrid Cloud Computing, Microsoft Azure, Virtual Networking, Cloud Platforms, Windows PowerShell, IT Automation, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy, Data Visualization, Data Analysis
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Data Ethics, Responsible AI, Data Analysis, Artificial Intelligence, MLOps (Machine Learning Operations), Data Science, Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Siemens
Skills you'll gain: Engineering Analysis, Thermal Management, Simulations, Mechanical Engineering, Numerical Analysis, Engineering, Mathematical Modeling
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Deep Learning, Text Mining
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sprint Retrospectives, Kanban Principles, Sprint Planning, Agile Project Management, Lean Methodologies, Risk Management, Agile Software Development, Agile Methodology, Team Building, Workflow Management, Backlogs, Project Planning, Performance Metric, Team Performance Management, Release Management, Scrum (Software Development), Process Development, Continuous Improvement Process, Continuous Integration, Stakeholder Engagement
Mixed · Course · 1 - 4 Weeks