Data Protection Courses

From Data to Decisions: Making Predictions with AI

18 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Finding Patterns with AI

Discover how to leverage AI tools for creating data visualizations, conducting statistical analyses, and generating clear explanations of patterns and relationships in your data.

• Coursera
• 4 hours 47 minutes
• Self-Paced
• Paid Course

What is Data Science?

77660 ratings at Coursera

Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.

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

Dealing With Missing Data

138 ratings at Coursera

Learn techniques for handling missing data in surveys, including weighting adjustments and imputation methods. Explore software tools like R, Stata, and SAS to implement these strategies effectively.

• Coursera
• 17 hours 54 minutes
• Self-Paced
• Paid Course

Combining and Analyzing Complex Data

70 ratings at Coursera

Aprenda a estimar estatísticas descritivas e parâmetros de modelos usando dados de pesquisa, técnicas de vinculação de registros e considerações éticas para combinar dados de diferentes fontes.

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

Credential

Transforming Your Company's Data Analytics

19 ratings at Coursera

Learn to leverage data analytics for organizational transformation, enhancing dynamic capabilities, improving customer experience, and making evidence-based decisions to gain a competitive advantage in the digital era.

• Coursera
• 16 weeks, 3 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Expressway to Data Science: Essential Math

479 ratings at Coursera

Concise overview of foundational mathematics critical for Data Science careers, covering algebra, calculus, linear algebra, and numerical analysis. Prepares learners for advanced studies and applications in the field.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Data Science Foundations: Statistical Inference

359 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Expressway to Data Science: Python Programming

314 ratings at Coursera

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Probability Foundations for Data Science and AI

288 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

265 ratings at Coursera

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

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

Credential

Data Mining Foundations and Practice

182 ratings at Coursera

Discover patterns in large-scale datasets through key data mining concepts and techniques. Learn data preprocessing, modeling, frequent pattern analysis, classification, clustering, and gain hands-on project experience.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Vital Skills for Data Science

129 ratings at Coursera

Explore key areas in data science, including ethics, cybersecurity, and visualization. Gain practical skills and insights to determine your interests and future specialization in this diverse field.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Data Mining Pipeline

117 ratings at Coursera

Explore key steps in data mining: understanding, preprocessing, warehousing, modeling, interpretation, and real-world applications. Gain practical skills for effective data analysis and decision-making.

• Coursera
• 21 hours 54 minutes
• Self-Paced
• Paid Course

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

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