Data science

Analyze structured and unstructured data to extract knowledge and insights.

Data science is the process of using algorithms, methods, and systems to extract knowledge and insights from structured and unstructured data. It can be used to make predictions and decisions using analytics and machine learning.

Courses

Course

Coursera

Applied data science with R specialization

Build your data science skills with R and SQL. Master the ability to transform data into information and insights.

Course

Coursera

Data analysis with Python

Get hands-on experience and learn important techniques for preparing your data for analysis. Then, learn how to gain a better understanding of your data through exploratory data analysis.

Course

Coursera

Data analysis with R

Get hands-on experience and learn important techniques for preparing your data for analysis. Then, learn how to gain a better understanding of your data through exploratory data analysis.

Course

Coursera

Data Science Methodology

Learn how to ensure the data you use in problem solving is relevant and properly manipulated

Course

Coursera

Data visualization with Python

Learn how to take data that at first glance has little meaning and present that data in a form that makes sense to people.

Course

Coursera

Data visualization with R

Learn the Grammar of Graphics, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. Additionally, learn how to further customize your charts and plots using themes and other techniques.

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Open Source

Data science

Analyze structured and unstructured data to extract knowledge and insights.

Courses

Applied data science with R specialization

Data analysis with Python

Data analysis with R

Data Science Methodology

Data visualization with Python

Data visualization with R