Python Data Science For Beginners 2021
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An Introduction to Data Science With Python
Author: Jeffrey S. Saltz
language: en
Publisher: SAGE Publications
Release Date: 2024-05-29
An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
Data Mining for Beginners
Data Mining for Beginners: A Programmer’s Guide delves into the world of data mining, a process of discovering patterns and trends in large volumes of data using various algorithms and techniques. This book offers a comprehensive introduction to data mining, focusing on important concepts and their implementation using Python, a popular programming language. We provide step-by-step guidance through Python code to help readers understand and apply data mining techniques. The book covers essential topics like clustering, anomaly detection, data visualization, and processing, making it easier to grasp these concepts and use them in various fields. By the end of the book, readers will be well-versed in data mining concepts and capable of implementing them with Python. What you will learn: • Introduction to data mining and its various concepts. • Data visualization and processing techniques. • The importance of statistics in data mining. • Different data mining algorithms and their implementation in Python. • Cluster analysis and anomaly detection using Python. • Data Cube Technology. • Future trends and research frontiers in data mining. Who the book is for: This book is ideal for programmers seeking to implement data mining algorithms using Python and for students looking for a solid introduction to data mining.
Python Data Science For Beginners 2021
If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading. Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?" Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include -A thorough and simple explanation of data science and the way it works -Basics of data science and fundamental skills you need to get started -A blueprint for the most used frameworks for Python data science -How to process and understand the data and design your own projects -What data science is all about and why so many companies are using it to give them a competitive edge. -Why Python and how to use it to implement Data Science -What is the intersection between Machine Learning and Data Science and how to combine them -Functions and Modules in Python -Data Aggregation and Group Operations -Interaction with databases and data in the cloud -And Much More! Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications. Would You Like To Know More? Scroll up and click on the BUY NOW button to get your copy now!