Coursera Courses

Advanced Network Analysis and Incident Response

Master advanced network analysis techniques and incident response protocols using GOTS/COTS tools, while learning to implement NIST and SANS frameworks for effective cybersecurity threat detection and management.

• Coursera
• 1 day 22 hours 10 minutes
• Self-Paced
• Paid Course

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

Artificial Intelligence in Social Media Analytics

Explore AI's role in social media analytics. Learn machine learning, NLP, sentiment analysis, and topic modeling. Apply techniques to real data, uncovering patterns and insights in digital interactions.

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

Chatbots

Dive into chatbot technology, from design principles to practical implementation using Amazon Lex and AWS. Build and evaluate ML classifiers, create functional chatbots, and explore real-world applications.

• Coursera
• 13 hours 29 minutes
• Self-Paced
• Paid Course

Training AI with Humans

Explore machine learning principles, data annotation, and crowdsourcing techniques to enhance AI performance. Develop skills in designing studies, using platforms like AMT, and implementing IAA for high-quality data.

• Coursera
• 22 hours 47 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

Career Certificate

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

Bioinformatics Methods for Transcriptomics

Learn bioinformatics methods for analyzing RNA sequencing data, including gene expression, alternative splicing, and transcriptome reconstruction using popular tools like STAR, DESeq2, and Minimap2.

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

Career Certificate

Statistical Methods for Computer Science

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

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

Household Surveys for Program Evaluation in LMICs

Learn to design, implement, and analyze household surveys for program evaluation in low- and middle-income countries, covering sampling, questionnaire design, fieldwork preparation, and data analysis.

• Coursera
• 1 day 2 hours 45 minutes
• Self-Paced
• Paid Course

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course

Computational and Graphical Models in Probability

Master computational probability through simulation techniques, network analysis, and graphical models using R. Build expertise in ERGMs and PGMs while gaining practical skills for complex data analysis and machine learning applications.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course