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

Sponsored by FutureX

12,159 already enrolled

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

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Taught in English
Recently updated!

November 2024

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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: R Programming
Category: Statistical Programming
Category: Statistical Methods
Category: Statistical Inference
Category: Data Analysis
Category: Tidyverse (R Package)
Category: Statistical Analysis
Category: Statistics
Category: Probability & Statistics
Category: Data Wrangling
Category: Data Processing
Category: Data Transformation
Category: Correlation Analysis
Category: Data Science
Category: Statistical Hypothesis Testing
Category: Extract, Transform, Load
Category: Data Integration
Category: Statistical Machine Learning
Category: Business Analytics
Category: Analytics

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 Visualization
Category: Statistical Analysis
Category: Statistical Visualization
Category: Data Analysis
Category: R Programming
Category: Rmarkdown
Category: Statistical Methods
Category: Statistics
Category: Probability & Statistics
Category: Analytics
Category: Data Science
Category: Statistical Programming

Data Analysis in Python

Course 317 hours

What you'll learn

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Statistical Analysis
Category: Statistical Methods
Category: Analytics
Category: Data Manipulation
Category: Statistics
Category: Probability & Statistics
Category: Python Programming
Category: Computer Programming
Category: Pandas (Python Package)
Category: Computer Science
Category: Statistical Programming
Category: Statistical Inference
Category: Statistical Hypothesis Testing
Category: Data Processing
Category: Statistical Machine Learning
Category: Data Visualization
Category: Matplotlib

Instructors

Sharon Jason
Codio
5 Courses9,427 learners

Offered by

Codio

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