Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Business Strategy, Game Theory, Strategic Thinking, Competitive Analysis, Strategic Partnership, Product Strategy, Strategic Decision-Making, New Product Development, Market Analysis, Innovation
Mixed · Course · 1 - 3 Months

Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Oncology, Medical Imaging, Diagnostic Radiology, Molecular Biology, Clinical Trials, Radiation Therapy, Cell Biology, Treatment Planning, Pathology, Epidemiology, Biology, Risk Analysis, Surgery
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Business Intelligence, Business Analytics, Business Reporting
Mixed · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Persistence, SQL, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing
Intermediate · Specialization · 3 - 6 Months

IESE Business School
Skills you'll gain: Value Propositions, Brand Management, Financial Statements, Marketing, Financial Statement Analysis, Leadership Development, Business Analytics, Marketing Strategies, Income Statement, Business Analysis, Strategic Marketing, Intercultural Competence, Financial Analysis, Accounting, Conflict Management, Financial Management, Financial Acumen, Financial Data, Leadership, Finance
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Capital Budgeting, Cash Flows, Probability & Statistics, Finance, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Ledgers (Accounting), Financial Analysis, Business Valuation, Business Mathematics, Financial Management, Data Analysis
Beginner · Specialization · 3 - 6 Months

Packt
Skills you'll gain: Data Analysis Expressions (DAX), Customer Insights, Power BI, Data Modeling, Dashboard, Data Transformation, Data Import/Export, Data Manipulation, Data Literacy, Database Design, Interactive Data Visualization, Data Processing, Big Data, Business Intelligence, Data Integration, Star Schema, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis
Beginner · Specialization · 1 - 4 Weeks

Coursera
Skills you'll gain: Image Analysis, Computer Vision, Model Evaluation, Applied Machine Learning, Debugging, Failure Mode And Effects Analysis, Exploratory Data Analysis, Feature Engineering, Transfer Learning, Performance Tuning, Deep Learning, Analysis, PyTorch (Machine Learning Library), Data Preprocessing, Tensorflow, Data Validation, MLOps (Machine Learning Operations), Performance Analysis, Digital Signal Processing, Data Pipelines
Advanced · Specialization · 3 - 6 Months