糖心vlog官网观看

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

Access provided by New York State Department of Labor

12,260 already enrolled

Get in-depth knowledge of a subject
3.7

(24 reviews)

Beginner level

Recommended experience

3 months to complete
at 2 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
3.7

(24 reviews)

Beginner level

Recommended experience

3 months to complete
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

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Specialization - 3 course series

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: Tidyverse (R Package)
Category: Statistical Hypothesis Testing
Category: Data Import/Export
Category: Descriptive Statistics
Category: Data Analysis
Category: Statistical Analysis
Category: Regression Analysis
Category: Probability & Statistics
Category: Statistical Methods
Category: Data Wrangling
Category: Correlation Analysis

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: R Programming
Category: Data Visualization Software
Category: Rmarkdown
Category: Ggplot2
Category: Scatter Plots
Category: Data Visualization
Category: Box Plots
Category: Histogram
Category: Descriptive Statistics
Category: Statistical Visualization
Data Analysis in Python

Data Analysis in Python

Course 317 hours

What you'll learn

Skills you'll gain

Category: Data Analysis
Category: Data Import/Export
Category: Data Manipulation
Category: Statistical Hypothesis Testing
Category: Python Programming
Category: Data Science
Category: Computational Logic
Category: Exploratory Data Analysis
Category: Statistics
Category: Data Visualization
Category: Probability & Statistics
Category: Descriptive Statistics
Category: Data Cleansing
Category: Matplotlib
Category: Pandas (Python Package)

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Instructors

Sharon Jason
Codio
5 Courses11,099 learners

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Codio

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