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

Data Science and Analysis Tools - from Jupyter to R Markdown

Codio

This specialization is intended for people without programming experience who seek an approachable introduction to data science that uses Python and R to describe and visualize data sets.

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About this Course

This specialization is intended for people without programming experience who seek an approachable introduction to data science that uses Python and R to describe and visualize data sets. This course will equip learners with foundational knowledge of data analysis suitable for any analyst roles. In these four courses, you will cover everything from data wrangling to data visualization. These topics will help prepare you to handle various types of data sets, giving you enough knowledge of data science to proficiently compare data sets, describe their relationship, and produce visualizations that highlight that relationship

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

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

S

Sharon Jason

Director of Customer Success

A

Anh Le

K

Kevin Noelsaint

Topics

Data Analysis
Data Science
Box Plots
Correlation Analysis
Data Manipulation
Data Presentation
Data Visualization Software
Descriptive Statistics
Ggplot2
Histogram

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

علم البيانات
تحليل البيانات
تصور البيانات
Jupyter
R Markdown
Data Presentation
Data Visualization Software
Descriptive Statistics
Ggplot2
Histogram

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