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!

Taught in English

Anh Le
Kevin Noelsaint

Instructors: Anh Le

11,905 already enrolled

Included with Coursera Plus

Specialization - 4 course series

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

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Specialization - 4 course series

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

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Specialization - 4 course series

What you'll learn

  • Describe a numerical data set with statistics

  • Import and describe a mixed data set using pandas and matplotlib

  • Determine if populations are different using statistical tests

  • Describe relationships between variables using statistical tests

Skills you'll gain

Category: Basic Descriptive Statistics
Category: Data Analysis
Category: Python Programming
Category: Functions
Category: Variables

What you'll learn

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

  • Illustrate the distribution of data through visualizations

  • Generate visualizations for specialized data (e.g. geographical, three dimensional, etc)

Skills you'll gain

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

Data Analysis in R with RStudio & Tidyverse

Course 39 hours4.3 (17 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

Instructors

Anh Le
Codio
20 Courses77,297 learners

Offered by

Codio

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