Data Science and Data Analysis with Python with Exercises

[ FreeCourseWeb.com ] Data Science and Data Analysis with Python with Exercises



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 240 MB | Duration: 2 sections | 13 lectures | (43m)

What you'll learn

Using Python with Data Science

Using Python with Data Analysis

Numpy, Matplotlib, Pandas

Visualizing the Data

Cleaning the Data

Computing Statistics

Creating Variables

Solving Problems

Exercises



Requirements

No

Description

WHAT IS DATA SCIENCE



As the world is progressing in science and technology, there is an enormous increase in the need for advanced tools to store information and mine data that is being produced indefinitely. And the key to this problem is data science. Data science is a field of study that develops scientific and systematic methods to record, process and analyze data to withdraw significant and useful information that can be both structured and unstructured. Unstructured data is the one that is generated by mobile devices and websites while structured data is an organized data which is mostly generated by the users e.g. emails, chats, telephone calls etc. Data science uses scientific methods and algorithms to extract knowledge. Industries require the use of this field immensely and the industrialists now realize the value of data science and the benefits it can provide to the business, thus, it has become very popular currently.



The need for data science



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