Data Protection Courses

Credential

Big Data Processing Using Hadoop

9 ratings at Coursera

Master the Hadoop ecosystem for big data processing, from HDFS and MapReduce to advanced tools like Hive, Pig, and Spark. Develop practical skills for designing, deploying, and optimizing large-scale data solutions.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Data Visualization

7 ratings at Coursera

Master advanced data visualization techniques from foundational concepts to specialized approaches, including design principles, network visualization, and interactive data exploration for impactful decision-making.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Data Literacy Capstone – Evaluating Research

Apply data literacy skills to critically evaluate original quantitative research, interpreting findings and methodologies. Enhance ability to analyze and utilize scholarly work through hands-on project and peer review.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course

Der Werkzeugkasten des Data Scientist

Einführung in die wichtigsten Tools und Konzepte der Data Science: R, RStudio, Git, GitHub und R Markdown. Vermittelt Grundlagen der Datenanalyse, Versionskontrolle und wissenschaftlichen Methodik.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Credential

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 8 courses

Data to Advance Population Health: Global Perspectives

Explore methodologies for leveraging population-level data to strengthen public health programs and policies, with insights from global experts on data generation, analysis, and application for informed decision-making.

• Coursera
• 8 hours 49 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Information Theory & Games

Explore decision-making in dynamic environments through game theory, cooperative games, and opponent prediction. Learn to optimize strategies in complex social interactions and extract relevant features for informed choices.

• Coursera
• 1 day 4 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course

Credential

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Gender Foundations in Health Data: A Data for Health Course

Explore gender integration in global health data, policy, and practice. Learn to apply a gender lens in data collection, analysis, and use for improved public health outcomes.

• Coursera
• 6 hours
• Self-Paced
• Paid Course

Data Use for Disease Control & Global Health Decision-Making

Learn epidemiologic surveillance techniques, best practices for healthcare data collection and analysis, and apply lessons from the polio eradication effort to inform global health decision-making and planning.

• Coursera
• 9 hours 45 minutes
• Self-Paced
• Paid Course

Big Data and Hadoop Foundations and Setup

Master Hadoop fundamentals and architecture while gaining hands-on experience setting up and configuring Big Data environments in Linux. Learn to process large-scale data and understand the ecosystem's key components.

• Coursera
• 14 hours 17 minutes
• Self-Paced
• Paid Course

Data Analysis Using Hadoop Tools

Master Hadoop ecosystem tools like Hive, Pig, HBase, and Spark for advanced big data processing and analysis. Gain hands-on experience with SQL querying, data transformation, NoSQL databases, and in-memory computation.

• Coursera
• 23 hours 39 minutes
• Self-Paced
• Paid Course