PYTHON - 4 Books in 1: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Crash Course for Beginners by Academy Tech Ed
Author:Academy, Tech Ed [Academy, Tech Ed]
Language: eng
Format: epub
Published: 2020-07-16T16:00:00+00:00
- PYTHON FOR DATA SCIENCE -
The Course of Choice to Learn Data Science with Python Using Seaborn, SciPy and Scikit-Learn
by
Tech Ed Academy
2020 © Copyright
Introduction
This book focuses on “python for data science,” offering an in-depth exploration of the core utility of python programming language, specifically it application in data science. This book offers a platform to learn data science with python well and in one week with the ultimate python data science crash course including clear examples and step by step guidance.
The first thing that we need to take a look at here is the idea of why data science is so important and helpful for our needs. This would make it so much easier to go through the data and see what was there, and often the business intelligence tools were all that was needed to see what was available and what business decisions needed to be made.
However, the data that we are able to take a look at today is so much different. Unlike the traditional data systems, which was mostly structured, it is common for the data that companies collect today to be unstructured, or at the very least, semi-structured. This is going to make it more difficult to sort through and understand, and that is why the process of data science has expanded into what it is today.
Many businesses no matter what kind of industry they conduct business in; will find that working with data science is one of the best options for them. Data science is able to help them to really learn about their industry, and even gain a leg up on the competition. Many of the companies out there are going to already collect a lot of data and information about things like the competition, the industry, and their customers, and data science is going to help them to actually see what insights and information are inside of that data and use it for their advantage
With the above in mind, it is time to not only look at some of the benefits that come with data science, but we also need to take a look at some more information about what data science is all about, and how a business is able to use data science for their own needs.
The use of data science is becoming ever more prominent in many businesses and in a lot of different industries as well. But that doesn’t really explain to us what data science is all about? We may want to figure out what it takes to do one of this analysis, how tools we need to make the predictions, and so much more. These are all questions that we are able to answer in this part of the guidebook to make things a bit easier.
First, we need to see what data science is all about. Data science is going to be a blend of algorithms, tools, and principles that come with machine learning. And all of these different things come together with the intention of discovering covert patterns from the raw data.
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