Data Science Courses and Certifications

Measurement – Turning Concepts into Data

82 ratings at Coursera

Aprenda a criar e avaliar medidas quantitativas para conceitos complexos. Explore níveis de medição, construção de modelos, pesquisas e avaliação da qualidade das medidas para análises eficazes.

• Coursera
• 11 hours 4 minutes
• Self-Paced
• Paid Course

Visualization for Data Journalism

69 ratings at Coursera

Explore data visualization techniques for journalism, from chart selection to interactive storytelling. Learn to create compelling visuals using Python, applying design theories and cognitive principles.

• Coursera
• 18 hours 1 minute
• Self-Paced
• Paid Course

Advanced Data Visualization with R

81 ratings at Coursera

Expand your R data visualization skills with advanced ggplot2 techniques, spatial data mapping, and interactive/animated figures using Plotly and gganimate. Master cutting-edge visualization methods for impactful data presentation.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course

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

Career Certificate

Strategic Communications in Technical Organizations

79 ratings at Coursera

Develop effective communication skills for technical organizations through audience analysis, leadership, team management, ethics, intercultural communication, and persuasive techniques.

• Coursera
• 12 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 3 courses

Python Fundamentals for Designers

Learn Python programming through visual applications, creating dynamic designs and organic effects using Processing. Covers syntax, data types, control structures, and advanced concepts for computational design.

• Coursera
• 1 day 2 hours 6 minutes
• Self-Paced
• Paid Course

Python Debugging: A Systematic Approach

Master a systematic approach to Python debugging with the OILER framework, learning to write clean code, identify errors, and utilize resources like documentation and LLMs.

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

Measuring Total Data Quality

Explore metrics for evaluating Total Data Quality at various stages, create quality concept maps, and apply metrics to real data. Learn to assess trade-offs and identify relevant tools for quality evaluation.

• Coursera
• 9 hours 1 minute
• 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

Logistic Regression and Prediction for Health Data

Analyze binary outcomes, compare proportions, fit logistic regressions, make predictions, and assess model quality using R. Gain practical skills for health data analysis through lectures and guided coding.

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

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

Linear Regression Modeling for Health Data

Explore statistical modeling for health data, covering t-tests, linear regression, and multiple predictors. Gain practical skills through lectures, guided coding, and exercises.

• Coursera
• 13 hours 3 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