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Data Science and Analysis Tools – from Jupyter to R Markdown

Codio via Coursera Specialization

Coursera Specialization based on 24 ratings

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Overview

This course offers a broad overview of key data science tools, including Jupyter Notebook, R Markdown, and other data analysis environments. Aimed at aspiring data scientists, analysts, and students, the course teaches how to document code, visualize data, and communicate findings effectively. Students learn to work with Python and R, create interactive reports, and use visualization libraries such as matplotlib, seaborn, and ggplot2. The curriculum emphasizes reproducibility, clarity in data storytelling, and best practices for sharing analysis with stakeholders. Learners...

Syllabus

Course 1: Data Analysis in Python with pandas & matplotlib in Spyder- Offered by Codio. Code and run your first Python script in minutes without installing anything! This course is designed for learners with ... Enroll for free.Course 2: Visualizing & Communicating Results in Python with Jupyter- Offered by Codio. Code and run your first Python program in minutes without installing anything! This course is designed for learners with ... Enroll for free.Course 3: Data Analysis in R with RStudio & Tidyverse- Offered by Codio. Code and run your first R program in minutes without installing anything! This course is designed for learners with no ... Enroll for free.Course 4: Visualizing Data & Communicating Results in R with RStudio- Offered by Codio. Code and run your first R program in minutes without installing anything! This course is designed for learners with ... Enroll for free.

Data Science and Analysis Tools – from Jupyter to R Markdown
Go to Class

Codio via Coursera Specialization

2 hours

Certificate Available

English

Beginner

Instructor

Sharon Jason

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