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.

Skills you'll gain: Google Analytics, Data Storytelling, Content Performance Analysis, Web Analytics and SEO, Data Validation, Stakeholder Engagement, Statistical Modeling, Search Engine Optimization, Marketing Analytics, Web Analytics, Marketing Automation, Data Visualization, Customer Insights, Data-Driven Decision-Making, Campaign Management, Key Performance Indicators (KPIs), Predictive Analytics, Performance Measurement, Return On Investment, Artificial Intelligence
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Marketing Budgets, Digital Media Strategy, Media Strategy, Content Strategy, Promotional Strategies, Marketing Analytics, Customer Engagement, Content Marketing, Brand Awareness, Marketing Strategies, Trend Analysis, Brand Strategy, Social Media Strategy, Data-Driven Decision-Making, Campaign Management, Social Media, Key Performance Indicators (KPIs), Strategic Partnership
Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, HubSpot CRM, Business Process Automation, Google Sheets, Workflow Management, Automation, Data Pipelines, JSON, Unstructured Data
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Electronic Systems, Basic Electrical Systems, Electrical Engineering, Applied Mathematics, Hardware Design, Electronics, Electronic Components, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Analysis, High Voltage, Grant Applications
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, AI Personalization, Feature Engineering, Applied Machine Learning, Data Science, Machine Learning, Scalability, Data Manipulation, Python Programming, Data Transformation, Pandas (Python Package), Machine Learning Methods, Predictive Modeling, Text Mining, Development Environment, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, NumPy, Data Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Data Preprocessing, Box Plots, Anomaly Detection, Heat Maps, Plotly, Exploratory Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Correlation Analysis, Solution Design
Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation
Intermediate · Course · 1 - 3 Months