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: Go (Programming Language), Web Servers, JSON, Restful API, User Interface (UI), Web Applications, Server Side, Web Development, Full-Stack Web Development, Debugging, API Design, Scalability, Data Structures, Hypertext Markup Language (HTML), Cascading Style Sheets (CSS)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Budgets, Marketing Effectiveness, Budget Management, Google Analytics, Marketing Analytics, Marketing Strategies, Marketing Channel, Data Validation, Web Analytics, Real Time Data, Performance Analysis, Strategic Decision-Making, Event Monitoring, Data Capture, System Configuration
Beginner · Course · 1 - 4 Weeks

Alex Genadinik
Skills you'll gain: Active Listening, Social Skills, Emotional Intelligence, Professional Development, Rapport Building, Interpersonal Communications, Personal Development, Empathy, Relationship Building, Constructive Feedback, Communication, Non-Verbal Communication
Mixed · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Preprocessing, Data Analysis, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

AI CERTs
Skills you'll gain: AI Personalization, AI Product Strategy, Customer Service, Customer Insights, Customer Analysis, AI Enablement, Customer Data Management, Customer experience strategy (CX), Customer and Client Support, Data Ethics, Customer Relationship Building, Customer Engagement, Customer Retention, Artificial Intelligence and Machine Learning (AI/ML), Customer Success Management, Generative AI Agents, Generative AI, Emerging Technologies
Beginner · Course · 1 - 3 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Microsoft Power Platform, Data Analysis, Business Intelligence, Star Schema, Data Transformation, Snowflake Schema, Dashboard, Data Visualization Software, Data Integration, Data Manipulation, Data Cleansing, Interactive Data Visualization, Data Presentation, Data Import/Export
Intermediate · Course · 1 - 3 Months

Emory University
Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Seaborn, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Data Presentation, Matplotlib, Data Visualization, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
Advanced · Course · 1 - 3 Months