What are data science tools?

In this video, Data Scientist Ms Sana Salman explains various commercial tools used in Data Science domain. She also discusses Gartners Magic Qudarant for data science.

Enroll now for FREE in this fundamental course of data science.
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Take a look at course details below.


Course Description

This FREE course on Data Science is an introductory level course on data science. It is designed as a starter course that can lead to advanced data science careers or otherwise. Data Science (DS) is a new, exponentially-growing field, which consists of a set of tools and techniques used to extract useful information from data. Data Science is an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course focuses on practical use cases and scenarios and is designed so as to give the students an understanding of the overall ecosystem of data science.

Course Goals:
After taking this course students will be able to:

Understand the basic norms of data science
Understand the thought process behind building a data science application
Build their own data science team according to their specific requirements
Know the basic tools of data science
Know the algorithms and their applications
Get information on the use cases that top industries invest in to get benefit out of data science.

Audience
This course is designed for any and everyone who is curious about data science, wants to start working on it, either hands-on or just for building their understanding. People with business and marketing background can talk to their data science guys on what should be built. Technical people can suggest and recommend use cases to their organizations. For developers who are new to data science, you can roll up your sleeves with this course and deep dive in next advanced courses.

Topics Covered

The philosophy behind data science
The right thought process
The tools used in data science
The Algorithms
The use cases for the specific industries

Instructor
Sana Salman has been working in Data science domain for the last 15 years. She has initiated and built data science pipelines in telecom, financial sectors, health and retail. She is a Fulbright scholar and did my MS from WPI, USA. She is currently doing her Doctoral with Macquarie University, Sydney.