Overview
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.
- 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
Who This Book Is For
Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.
The book, Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems [Bulk, Wholesale, Quantity] ISBN#9781484241080 in Paperback by Dr. Ossama Embarak may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
11/20/2018
ISBN-13:
9781484241080
Pages:
374
Publisher:
Apress
