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.

Birla Institute of Technology & Science, Pilani
Skills you'll gain: World History, Critical Thinking, Ancient History, Research, Science and Research, Culture, Social Sciences, Cultural Responsiveness, Scientific Methods, Applied Mathematics, European History, Analysis, Physical Science, Industrial Engineering, Research Methodologies, Innovation, Intellectual Property
Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Sales Strategy, B2B Sales, Sales Training, Sales Process, Marketing Psychology, Sales, Selling Techniques, Sales Enablement, Consumer Behaviour, Overcoming Objections, Storytelling, Closing (Sales), Stakeholder Communications, Negotiation, Non-Verbal Communication, Customer Engagement, Value Propositions, Communication Strategies, Empathy, Analysis
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy
Mixed · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: electromagnetics, Electrical Engineering, Electronics Engineering, Electronics, Verification And Validation, Communication Systems, Wireless Networks, Digital Communications, Telecommunications, Technical Design, Prototyping, Engineering Design Process, Simulation and Simulation Software, Simulations, Workflow Management, Radiation Protection, Network Troubleshooting, Business Workflow Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Multimodal Prompts, OpenAI API, LLM Application, AI Product Strategy, Productivity Software, Creative Design, Marketing Strategy and Techniques, Responsible AI, A/B Testing, Time Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: 3D Modeling, 3D Assets, Autodesk, Visualization (Computer Graphics), Editing
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks