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Offered By: IBM

Data Science 101

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

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Course

Data Science

53.6k+ Enrolled
(9.7k+)

At a Glance

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.


ABOUT THIS COURSE

Find out the truth about what Data Science is. Hear from real practitioners telling real stories about what it means to work in data science. This course was formerly named Data Science 101.

COURSE SYLLABUS

Module 1 - Defining Data Science

  • What is data science?
  • There are many paths to data science
  • Any advice for a new data scientist?
  • What is the cloud?
  • "Data Science: The Sexiest Job in the 21st Century"

Module 2 - What do data science people do?

  • A day in the life of a data science person
  • R versus Python?
  • Data science tools and technology
  • "Regression"

Module 3 - Data Science in Business

  • How should companies get started in data science?
  • Tips for recruiting data science people
  • "The Final Deliverable"

Module 4 - Use Cases for Data Science

  • Applications for data science
  • "The Report Structure"

Module 5 -Data Science People

  • Things data science people say
  • "What Makes Someone a Data Scientist?"
GENERAL INFORMATION

  • This course is self-paced.
  • It can be taken at any time.
  • It can be audited as many times as you wish.
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE

  • None
REQUIREMENTS

  • None
COURSE STAFF


Fireside Analytics Inc.

Shingai Manjengwa (@Tjido) is the CEO of  Fireside Analytics Inc., an ed-tech start-up that develops customized online and in-person courses to teach digital literacy, data science, data visualization, and coding to high school students, policymakers, senior executives, small business owners, and working professionals. Data Science courses by Fireside Analytics have over 300,000 registered learners on platforms like IBMs CognitiveClass.ai and Coursera.


An IBM Influencer and Author, Shingai has a Masters in Business Analytics from NYU Stern. Shingai is also the founder of Fireside Analytics Academy, a registered private high school (BSID: 886528) that teaches high school students to solve problems with data.


What is Data Science? Data Science is the process of ethically acquiring, engineering, analyzing, visualizing and ultimately monetizing data.


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Estimated Effort

3 Hours

Level

Beginner

Language

English

Course Code

DS0101EN

Released

November 19, 2020

Last Updated

May 04, 2022

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This Course is part of the following Learning Paths