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.

Coursera
Skills you'll gain: Budget Management, Budgeting, Cost Control, Variance Analysis, Cost Management, Cost Estimation, Microsoft Excel, Microsoft Copilot, Financial Planning, Data Storytelling, ChatGPT, Root Cause Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Performance Testing, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Network Analysis, Network Model, Social Network Analysis, Graphing, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms
Intermediate · Course · 3 - 6 Months

Simplilearn
Skills you'll gain: Backlogs, Scrum (Software Development), Sprint Retrospectives, Sprint Planning, Agile Software Development, Agile Methodology, Agile Project Management, Agile Product Development, Product Requirements, Product Management, Meeting Facilitation, Quality Assurance, Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Interactive Data Visualization, User Interface (UI), Application Development, UI Components, Python Programming, Application Design, Data Science, Code Reusability, Application Deployment, User Interface (UI) Design, Software Installation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Content Performance Analysis, Social Media Analytics, Content Optimization, AI Personalization, Data Analysis, Data Literacy, Analytics, Key Performance Indicators (KPIs), Driving engagement, AI Enablement, Trend Analysis, Data-Driven Decision-Making, Data Strategy, Strategic Decision-Making, Content Strategy, Performance Metric, Benchmarking, Customer Retention, User Feedback, Data Presentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, AI Product Strategy, Generative AI Agents, LangGraph, BeeAI, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Data Preprocessing, Supervised Learning, ChatGPT, Agentic Workflows, Applied Machine Learning, Product Management, Artificial Intelligence, Python Programming, Model Evaluation, Agentic systems, Model Deployment, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Training, Model Deployment, Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Generative AI, Natural Language Processing, Applied Machine Learning
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Optimization, Dataflow, Tensorflow, Data Pipelines, Data Processing, Keras (Neural Network Library), Applied Machine Learning, Data Store, Machine Learning Methods, Data Transformation, Statistical Machine Learning, Real Time Data, Google Cloud Platform
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Infrastructure Architecture, Artificial Intelligence, AI literacy, Applied Machine Learning, Model Deployment, Model Training, Data Preprocessing, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Deep Learning, Artificial Neural Networks, Model Optimization, Cloud Deployment, Data Pipelines, Data Processing, Applied Machine Learning, Data Transformation
Intermediate · Course · 1 - 3 Months