國立虎尾科技大學 |

Data Analysis and Visualization Using Python = Analyze Data to Create Visualizations for BI Systems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Analysis and Visualization Using Python/ by Dr. Ossama Embarak.
其他題名:	Analyze Data to Create Visualizations for BI Systems /
作者:	Embarak, Dr. Ossama.
面頁冊數:	XX, 374 p. 267 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Python (Computer program language). -
電子資源:	https://doi.org/10.1007/978-1-4842-4109-7
ISBN:	9781484241097

Data Analysis and Visualization Using Python = Analyze Data to Create Visualizations for BI Systems /
Embarak, Dr. Ossama.

Data Analysis and Visualization Using PythonAnalyze Data to Create Visualizations for BI Systems /[electronic resource] :by Dr. Ossama Embarak. - 1st ed. 2018. - XX, 374 p. 267 illus.online resource.

Chapter 1: Introduction to data science with python -- Chapter 2: The importance of data visualization in business intelligence -- Chapter 3: Data collections structure -- Chapter 4: File I/O processing & Regular expressions -- Chapter 5: Data gathering and cleaning -- Chapter 6: Data exploring and analysis -- Chapter 7: Data visualization -- Chapter 8: Case Study.

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python. Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python. In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far. You will: Use Python programming techniques for data science Master data collections in Python Create engaging visualizations for BI systems Deploy effective strategies for gathering and cleaning data Integrate the Seaborn and Matplotlib plotting systems.

ISBN: 9781484241097

Standard No.: 10.1007/978-1-4842-4109-7doiSubjects--Topical Terms:

1127623
Python (Computer program language).

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Data Analysis and Visualization Using Python = Analyze Data to Create Visualizations for BI Systems /
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