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Data Science and Analysis Tools - from Jupyter to R Markdown

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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.

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Discover the essentials of data science with the "Data Science and Analysis Tools - from Jupyter to R Markdown" course. Designed for individuals new to programming, this course provides an accessible entry point into the world of data analysis using Python and R. You will gain foundational skills in data wrangling and visualization, enabling you to proficiently describe, compare, and visualize various data sets. Offered by Coursera, this comprehensive program consists of four courses that cover everything you need to start your journey in data science. While the exact duration is flexible, you can learn at your own pace with the Starter subscription option. Ideal for aspiring analysts, this foundational course will prepare you to handle diverse data sets and produce insightful visualizations that highlight key relationships. Join now and take the first step towards mastering data science and analysis tools with guidance from expert instructors in the IT & Computer Science domain.

Kevin Noelsaint
Instructors

Kevin Noelsaint

Anh Le
Instructors

Anh Le