Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

Fundação Instituto de Administração
Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Market Research, Customer Insights, Big Data, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Unsupervised Learning, Data-Driven Decision-Making, Machine Learning Algorithms, Statistical Modeling, Consumer Behaviour, Data Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Embeddings, AI Personalization, OpenAI API, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Data Visualization, Data Preprocessing, Python Programming, Dimensionality Reduction
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Content Performance Analysis, Proposal Development, Web Analytics, Presentations, Marketing Materials, Finance, Project Management
Beginner · Guided Project · Less Than 2 Hours

University of Pennsylvania
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks

University of Virginia
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Marketing, Customer Analysis, Brand Management, Web Analytics, Analytics, Regression Analysis, Return On Investment, Consumer Behaviour, A/B Testing
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Customer Analysis, Regional Sales, Sales, Data Analysis Software, Data Analysis, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Market Opportunities, Product Assortment
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Data Visualization, Matplotlib, Plotly, Scientific Visualization, Seaborn, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Tecnológico de Monterrey
Skills you'll gain: Value Propositions, Ideation, Market Opportunities, Entrepreneurship, New Product Development, Business Modeling, Innovation, New Business Development, Business Development, Business Strategies, Business Leadership, Presentations, Customer Insights, Succession Planning, Trend Analysis, Leadership
Advanced · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks