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  1. Home
  2. Learning Paths

Vital Skills for Data Science Learning Path

Vital Skills for Data Science is a Specialization designed by Coursera. It consists of four courses and can be completed in five months with 4 hours of learning content .

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Description

Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further.

In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss.

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Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
University of Colorado Boulder
Free
1. Data Science as a Field
Jane Wall

11 hours

Intermediate
R Markdown R Programming tidyverse Applied Mathematics Data Analysis Data Ethics Data Modeling Data Science
Coursera
University of Colorado Boulder
Free
2. Ethical Issues in Data Science
Bobby Schnabel

24 hours

Beginner
Algorithms Applied Mathematics Artificial Intelligence Data Analysis Data Ethics
Coursera
University of Colorado Boulder
Free
3. Cybersecurity for Data Science
Al Pisano

19 hours

Beginner
Applied Mathematics Data Analysis Data Ethics Data Science Data Security
Coursera
University of Colorado Boulder
Free
4. Fundamentals of Data Visualization
Danielle Szafir

14 hours

Intermediate
Python Applied Mathematics Data Analysis Data Ethics Data Mining Data Science
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