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LearnQuest
Gain confidence in data projects using modern no-code platforms for data acquisition, cleaning, and visualization with practical applications.

28DIGITAL
Learn how data science drives business innovation by integrating technology and analytics to improve decision-making and outcomes.

Coursera
Data science is essential across industries for informed decision-making and valuable insights. This course helps professionals leverage data science techniques and tools.

Duke University
Develop ethical awareness in data science by examining data collection, analysis, presentation impacts, and strategies for responsible communication.
University of Michigan
Examines ethical and privacy issues in consumer data management and the social impact of data science field.

Duke University
Build and interpret linear and logistic regression models in R to analyze relationships, make predictions, and quantify uncertainty.

University of Leeds
Learn to make ethical and responsible decisions in data science projects by understanding data ethics, professional standards, and ethical frameworks.

Johns Hopkins University
Learn to make sequential decisions using mathematical models and algorithms to analyze simple and complex data streams effectively.

University of Colorado Boulder
Comprehensive, practical guidance on designing and executing a real-world data mining project from problem formulation to evaluation and reporting.

University of Leeds
Develop core communication skills in data science including reviewing visualizations, designing clear presentation slides, and effectively presenting insights.

MathWorks
A quick introduction to data science and basic machine learning concepts, focusing on data processing via low-code solutions and cloud resource integration.

University of Colorado Boulder
An introduction to data science, covering essential skills, processes, and applications in academic and professional contexts.

LearnQuest
Learn to leverage Python and AI libraries for data analysis and machine learning, including building classification models to predict health outcomes.

H2O.ai
Learn to use H2O’s advanced tools for data preparation, machine learning automation, and model deployment, focusing on efficient workflows and strategic analysis.

Corporate Finance Institute
This course introduces data science and machine learning fundamentals, focusing on statistical techniques to extract insights and enhance business performance through applied examples.

Duke University
Learn how data science improves agile and informed business decisions by collecting, analyzing, and interpreting data for actionable insights.

Coursera
Build skills to automate data quality tests, trace anomalies, and debug complex pipeline failures using advanced Python techniques.
University of Washington
Learn to design effective visualizations, understand ethics and privacy in data science, and use cloud computing for reproducible big data analysis.

Johns Hopkins University
Introduction to epidemiology in public health focusing on study design, outbreak analysis, and guiding interventions to improve population health.

Johns Hopkins University
Learn the fundamentals of creating data products with R, interactive graphics, and web applications to effectively communicate data insights.

LearnQuest
This course teaches data processing, storage, and analysis using Azure to support informed business decisions with essential analytical tools.

Microsoft
Explore advanced methods for data cleaning, preparation, and optimization using AI tools, including synthetic data generation and privacy management.

University of Colorado Boulder
Gain comprehensive understanding of data processing and manipulation techniques including handling missing values, outliers, sampling, and dimension reduction.

SkillUp
Acquire comprehensive strategies for data security, legal compliance, risk management, and governance to enhance organizational data protection.