Data Science Courses and Certifications

Design Strategies for Maximizing Total Data Quality

Explore strategies to maximize data quality across collection, processing, and analysis stages. Learn to assess and improve validity, origin, access, and source quality while minimizing data missingness.

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

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Translating Research to Communities

Explore population health research, ethical data science, and community engagement in translating discoveries to practice. Learn about computational models, crisis response, and implementation science.

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

Network Modeling and Analysis in Python

Explore network analysis using Python's NetworkX to understand complex systems, disease spread, and social media information flow through advanced algorithms and real-world applications.

• Coursera
• 1 day 5 hours 48 minutes
• Self-Paced
• Paid Course

Applied Information Extraction in Python

Master information extraction from free-text data using Python, from regex patterns to neural networks and Transformer models like ChatGPT for real-world applications.

• Coursera
• 1 day 50 minutes
• Self-Paced
• Paid Course

Microcredential

Social Computing

15 ratings at Coursera

Master social computing techniques to analyze networks, develop chatbots, optimize AI with crowdsourcing, and solve real-world problems using advanced tools and methodologies.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Social Media Data Analytics

298 ratings at Coursera

Explore social media data analytics using APIs, process structured and unstructured data, derive insights, and analyze sentiments. Learn to collect, analyze, and visualize data from various platforms.

• Coursera
• 10 hours 43 minutes
• Self-Paced
• Paid Course

Introduction to Algorithms (SMA 5503)

3 reviews

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice.

• MIT OpenCourseWare
• 30 hours
• Self-Paced
• Free Video

Cloud Computing Foundations

289 ratings at Coursera

Learn to build cloud infrastructure, apply Agile techniques, and create serverless websites. Gain hands-on experience with AWS services, continuous deployment, and DevOps principles for scalable cloud solutions.

• Coursera
• 1 day 11 hours 18 minutes
• Self-Paced
• Paid Course

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

139 ratings at Coursera

Explore genome comparison techniques, from aligning genes to analyzing large-scale mutations. Learn dynamic programming and combinatorial algorithms to study species evolution and genome fragility.

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

Introduction to the Tidyverse

54 ratings at Coursera

Learn to manipulate, visualize, and analyze data efficiently using the Tidyverse ecosystem of R packages. Master tidy data principles and streamline your data science workflow.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Python and Pandas for Data Engineering

270 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

Data Visualization Capstone

36 ratings at Coursera

Apply data visualization skills to create a compelling story using public data and R, culminating in a unique project that showcases advanced techniques and storytelling abilities.

• Coursera
• 21 hours 33 minutes
• Self-Paced
• Paid Course

Qualitative Research

469 ratings at Coursera

Explore qualitative research methods, from design to analysis. Learn to create research instruments, recruit participants, conduct focus groups, and interpret data for effective market research.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

CUDA at Scale for the Enterprise

26 ratings at Coursera

Explore advanced GPU programming techniques for enterprise-scale applications, including multi-GPU systems, asynchronous workflows, and optimized algorithms for sorting and image processing.

• Coursera
• 1 day 4 hours 45 minutes
• Self-Paced
• Paid Course