Data Protection Courses

Calculus through Data & Modeling: Precalculus Review

121 ratings at Coursera

Review of key precalculus concepts for calculus, focusing on functions, modeling, and data analysis. Covers exponential, logarithmic, and trigonometric functions, vectors, and equations of lines and planes.

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

Credential

Tidyverse Skills for Data Science in R

110 ratings at Coursera

Master data science with R's Tidyverse: import, wrangle, visualize, and model data using powerful and scalable tools. Gain practical skills for the entire data science project lifecycle.

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

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

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

Calculus through Data & Modeling: Applying Differentiation

60 ratings at Coursera

Apply differentiation to optimize functions, estimate complex equations, and solve real-world problems in data analysis, machine learning, and business through linear approximations and multivariable calculus techniques.

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

Calculus through Data & Modelling: Series and Integration

58 ratings at Coursera

Explore sequences, series, and integration in calculus. Apply these concepts to analyze real-world data, model phenomena, and critique policies across various disciplines.

• Coursera
• 8 hours 50 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Techniques of Integration

54 ratings at Coursera

Explore multivariable integration, vector functions, and numerical techniques. Extend calculus concepts to higher dimensions and real-world applications through data analysis and modeling.

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

Importing Data in the Tidyverse

51 ratings at Coursera

Learn to import and harmonize data from various formats using Tidyverse tools in R. Master techniques for handling delimited files, spreadsheets, databases, web scraping, and APIs to prepare data for analysis and visualization.

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

Calculus through Data & Modelling: Vector Calculus

50 ratings at Coursera

Explore vector calculus applications, including vector fields, line integrals, and Green's Theorem. Develop advanced mathematical skills for data analysis and real-world problem-solving in multivariable calculus.

• Coursera
• 4 hours 42 minutes
• Self-Paced
• Paid Course

Data and Electronic Health Records

47 ratings at Coursera

Explore the role of data and electronic health records in ambulatory healthcare, covering healthcare data basics, integrity, HIPAA regulations, and EHR utilization for improved patient care and operational efficiency.

• Coursera
• 8 hours
• 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

Wrangling Data in the Tidyverse

33 ratings at Coursera

Master data transformation techniques in R to efficiently reshape, manipulate, and analyze datasets using tidyverse packages, enhancing your ability to handle complex data structures and conduct exploratory analyses.

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

Calculus through Data & Modelling: Integration Applications

25 ratings at Coursera

Explore calculus applications through data and modeling, focusing on integration techniques for real-world problem-solving in areas like physics, economics, and geometry.

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

Visualizing Data in the Tidyverse

20 ratings at Coursera

Explore data visualization techniques using ggplot2 in R. Learn to create effective plots, customize aesthetics, and use extensions for advanced visualizations to enhance data analysis and communication.

• Coursera
• 16 hours 40 minutes
• Self-Paced
• Paid Course

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

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