Data Science and Analysis Tools - from Jupyter to R Markdown
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.
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · All Levels
More courses like this
Coursera
Apply Data Analytics with Minitab for Business Decisions
Coursera · MOOC / Non-credit
Pandas Data Analysis Quiz: Master Key Concepts with MCQs
Udemy · Bootcamp
edX
Intro to Data Analysis with Python
edX · MOOC / Non-credit
Coursera
Analyze Machine Data Using Splunk Fundamentals
Coursera · MOOC / Non-credit
More courses from Coursera
Coursera
TCP/IP and Internet
Birla Institute of Technology & Science, Pilani · MOOC / Non-credit
Coursera
Agile Project Management
University of Colorado Boulder · Master's Degree
Coursera
Conservation and Sustainable Development
University of Michigan · MOOC / Non-credit
Coursera
Extra-Galactic Astronomy
University of Cambridge · MOOC / Non-credit