IBM - What is Data Science?

4.4 /5

(12 Ratings)

Offered byCoursera

What is Data Science?
at
Coursera
Overview

Duration	8 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

What is Data Science?
at
Coursera
Highlights

Shareable Certificate Earn a Certificate upon completion
100% online Start instantly and learn at your own schedule.
Flexible deadlines Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 8 hours to complete
English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

What is Data Science?
at
Coursera
Course details

Skills you will learn

Data mining Hadoop Data Science Big Data

More about this course

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.
This course is part of multiple programs
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
Introduction to Data Science Specialization
Key Technologies for Business Specialization
IBM Data Science Professional Certificate
IBM AI Foundations for Business Specialization

What is Data Science?
at
Coursera
Curriculum

Defining Data Science and What Data Scientists Do

What is Data Science?

Fundamentals of Data Science

The Many Paths to Data Science

Advice for New Data Scientists

A day in the Life of a Data Scientist

Old problems, new problems, Data Science solutions

Data Science Topics and Algorithms

Cloud for Data Science

Course Syllabus

Professional Certificate Career Support

Lesson Summary

Data Science: The Sexiest Job in the 21st Century

What Makes Someone a Data Scientist?

Data Science Topics

Foundations of Big Data

What is Hadoop?

How Big Data is Driving Digital Transformation

Data Science Skills & Big Data

Data Scientists at New York University

What's the difference?

Neural Networks and Deep Learning

Applications of Machine Learning

Lesson Summary

Exercise: Identifying objects in images with IBM Watson

Data Mining

Regression

Data Science in Business

How Data Science is saving lives

How Should Companies Get Started in Data Science?

Applications of Data Science

How Can Someone Become a Data Scientist?

Recruiting for Data Science

Careers in Data Science

High School Students and Data Science Careers

Lesson Summary

IBM Digital Badge

The Final Deliverable

The Report Structure

Final Exam

What is Data Science?
at
Coursera
Admission Process

Important Dates

May 25, 2024

Course Commencement Date

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What is Data Science?
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Students Ratings & Reviews

4.4/5

12 Ratings

4-5
5
3-4
7

Sejal Srivastava

What is Data Science?

Learning Experience: The course had the clear understanding

Faculty: The faculty members were very encouraging and their way of teaching were explanatory. Course was well defined by the professors and professionals.

Reviewed on 18 Mar 2023Read More

Niraj Vachhani

What is Data Science?

Learning Experience: you will learn the approaches or methods companies need to take to start working with data science.

Faculty: Both Rav Ahuja and Alex are good instructors You will start learning by defining what a data scientist is and what he does inside the company, like what tools are used by the data scientist daily and the skills needed by anyone wanting a career in this industry with some advice for new people.

Course Support: Got promoted to Software Consultant

Reviewed on 19 Feb 2023Read More

Parth Shah

What is Data Science?

Learning Experience: The course, I opted for was for data science basics understanding and concept summarization. It was very well-designed and easy to understand. It has developed my skills in data science. The pros of the course are easy understanding of data, the cons are not as much but you can't change the language to your mother tongue.

Faculty: The faculty was great and their approach is quite simple and nice. The quality of the lectures is just awesome. It helps with practical knowledge as well. There was no live session provided. The course is designed in a very easy manner. Resources are provided within the course and the structure is from beginner to advanced in great method. Assignments are to be given and a minimal score of 80% is required.

Course Support: It helped me understand data science and was a great start to data science and its various fields. I would recommend to opt this course if you are interested.

Reviewed on 24 Oct 2023Read More

Sabyasachi Basu Roy

What is Data Science?

Learning Experience: Content was easy to understand, platform was user-friendly, important topics covered, relatable assignments and lab sessions

Faculty: There was no specific faculty. It was material based course, which provided videos and reading materials regarding the topics Well structured materials (videos and reading topics), easy to understand. Covered all the topics which are applicable to practical projects on Data Science

Course Support: well

Reviewed on 17 Feb 2023Read More

Ketan Agrawal

What is Data Science?

Learning Experience: Content is in good form like the recorded videos and explanation. But it can be better if we get some quick response regrading doubt clearing session. It is all about great learning experience with this course.

Faculty: Faculty's are well trained and have industrial experience. And they share some there experience with which was great Resources are in good form and quizes are at there best

Reviewed on 26 Nov 2022Read More

View All 10 Reviews