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: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Blockchain, FinTech, Digital Assets, Financial Services, Payment Systems, Financial Regulation, International Finance, Emerging Technologies, Asset Management, Artificial Intelligence, Regulation and Legal Compliance, Insurance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Budgeting, Capital Budgeting, Budget Management, Operating Budget, Financial Management, Financial Analysis, Cash Flows, Financial Planning, Cash Flow Forecasting, Capital Expenditure, Return On Investment, Cost Benefit Analysis, Investments, Decision Making
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Project Planning, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Data Collection, Project Scoping, Performance Measurement, Process Improvement, Quality Management, Customer experience improvement, Quality Control, Process Mapping
Beginner · Course · 1 - 3 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Customer Acquisition Management, Marketing Analytics, Branding, Brand Management, Customer Engagement, Target Audience, Lead Generation, Customer Insights, Marketing Channel, Marketing, Web Analytics, Brand Loyalty, Marketing Strategies, Campaign Management
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Exploratory Data Analysis, Image Analysis, Data Science, Data Transformation, Data Manipulation, Big Data, Performance Tuning, Python Programming, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Financial Forecasting, Trend Analysis, Predictive Modeling, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Market Data, Exploratory Data Analysis, Pandas (Python Package), Jupyter, Matplotlib, NumPy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Blogs, Search Engine Optimization, Brand Marketing, Content Marketing, Keyword Research, Content Creation, Web Analytics, Customer Engagement, Thought Leadership, Customer Relationship Building, Content Management Systems, Business Marketing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Beginner · Specialization · 1 - 3 Months