Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
bEnhance your data analysis and predictive modeling skills using popular Python tools/b h4Key Features/h4 ulliCover all fundamental libraries for operation and manipulation of Python for data analysis /li liImplement real-world datasets to perform predictive analytics with Python /li liAccess modern...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bEnhance your data analysis and predictive modeling skills using popular Python tools/b h4Key Features/h4 ulliCover all fundamental libraries for operation and manipulation of Python for data analysis /li liImplement real-world datasets to perform predictive analytics with Python /li liAccess modern data analysis techniques and detailed code with scikit-learn and SciPy/li/ul h4Book Description/h4 Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python. h4What you will learn/h4 ulliExplore important Python libraries and learn to install Anaconda distribution/li liUnderstand the basics of NumPy/li liProduce informative and useful visualizations for analyzing data/li liPerform common statistical calculations/li liBuild predictive models and understand the principles of predictive analytics/li/ul h4Who this book is for/h4 Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book |
| Beschreibung: | 1 Online-Ressource (178 Seiten) |
| ISBN: | 9781789534405 |
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| spelling | Fuentes, Alvaro Verfasser aut Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python Fuentes, Alvaro 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (178 Seiten) txt rdacontent c rdamedia cr rdacarrier bEnhance your data analysis and predictive modeling skills using popular Python tools/b h4Key Features/h4 ulliCover all fundamental libraries for operation and manipulation of Python for data analysis /li liImplement real-world datasets to perform predictive analytics with Python /li liAccess modern data analysis techniques and detailed code with scikit-learn and SciPy/li/ul h4Book Description/h4 Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python. h4What you will learn/h4 ulliExplore important Python libraries and learn to install Anaconda distribution/li liUnderstand the basics of NumPy/li liProduce informative and useful visualizations for analyzing data/li liPerform common statistical calculations/li liBuild predictive models and understand the principles of predictive analytics/li/ul h4Who this book is for/h4 Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| spellingShingle | Fuentes, Alvaro Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| title | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python |
| title_auth | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python |
| title_exact_search | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python |
| title_exact_search_txtP | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python |
| title_full | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python Fuentes, Alvaro |
| title_fullStr | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python Fuentes, Alvaro |
| title_full_unstemmed | Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python Fuentes, Alvaro |
| title_short | Become a Python Data Analyst |
| title_sort | become a python data analyst perform exploratory data analysis and gain insight into scientific computing using python |
| title_sub | Perform exploratory data analysis and gain insight into scientific computing using Python |
| topic | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| work_keys_str_mv | AT fuentesalvaro becomeapythondataanalystperformexploratorydataanalysisandgaininsightintoscientificcomputingusingpython |