Codio
Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
Codio

Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Hands-on Introduction to Data Science. Analyze data and create data visualizations using industry-standard data science tools without installing anything!

Sharon Jason
Anh Le
Kevin Noelsaint

Instructors: Sharon Jason

12,145 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
3.6

(22 reviews)

Beginner level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.6

(22 reviews)

Beginner level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Be familiar with data science libraries in Python and R.

  • Data transformation and normalization in Python and R.

  • Create graph and charts using Python and R.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

November 2024

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Codio
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Data Analysis in R with RStudio & Tidyverse

Course 19 hours4.3 (18 ratings)

What you'll learn

  • Describe a numerical data set using statistical functions in R

  • Import and manipulate data sets using Tidyverse

  • Determine if populations are different using statistical tests

  • Use statistical tests to describe or explain the relationship between data sets

Skills you'll gain

Category: Basic Descriptive Statistics
Category: Data Analysis
Category: Functions
Category: R Programming
Category: Rstudio

What you'll learn

  • Create charts to describe and compare the composition of data sets

  • Illustrate the distribution of data through visualizations

  • Create specialized visualizations such as heat maps, correlograms, and mosaic plots

  • Use R Markdown to create documents, reports, and presentations

Skills you'll gain

Category: Data Science
Category: Bar Chart
Category: Visual Communication
Category: Histogram
Category: R Programming

Data Analysis in Python

Course 317 hours

What you'll learn

Instructors

Sharon Jason
Codio
5 Courses9,225 learners

Offered by

Codio

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions