Data Science and Analysis Tools - from Jupyter to R Markdown

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Data Science and Analysis Tools - from Jupyter to R Markdown provided by Coursera is a comprehensive online course, which lasts for 22 weeks long, 2 hours a week. Data Science and Analysis Tools - from Jupyter to R Markdown is taught by Anh Le and Kevin Noelsaint. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • 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.

Syllabus
  • Course 1: Data Analysis in Python with pandas & matplotlib in Spyder
    - Offered by Codio. Code and run your first Python script in minutes without installing anything! This course is designed for learners with ... Enroll for free.

    Course 2: Visualizing & Communicating Results in Python with Jupyter
    - Offered by Codio. Code and run your first Python program in minutes without installing anything! This course is designed for learners with ... Enroll for free.

    Course 3: Data Analysis in R with RStudio & Tidyverse
    - Offered by Codio. Code and run your first R program in minutes without installing anything! This course is designed for learners with no ... Enroll for free.

    Course 4: Visualizing Data & Communicating Results in R with RStudio
    - Offered by Codio. Code and run your first R program in minutes without installing anything! This course is designed for learners with ... Enroll for free.