Learning Path : Effective Data Analysis Using Python

Use Python's tools and libraries effectively for extracting data from the web and creating attractive and informative visualizations. Over the years, almost every organization has understood the importance of analyzing data. In fact, it would not be an overstatement to say that ''No organization will be able to survive today's cut-throat competition if it does not analyze data.'' Data analysis as we know it is the process of taking the source data, refining it to get useful information, and then making useful predictions from it. In this Learning Path, we will learn how to analyze data using the powerful toolset provided by Python.
 

Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Python features numerous numerical and mathematical toolkits such as Numpy, Scipy, Scikit learn, and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice of data scientists for data analysis, visualization, and machine learning.
 

We will have a general look at data analysis and then discuss the web scraping tools and techniques in detail. We will show a rich collection of recipes that will come in handy when you are scraping a website using Python, addressing your usual and unusual problems while scraping websites by diving deep into the capabilities of Python's web scraping tools such as Selenium, BeautifulSoup, and urllib2.
 

We will then discuss the visualization best practices. Effective visualization helps you get better insights from your data, and help you make better and more informed business decisions. After completing this Learning Path, you will be well-equipped to extract data even from dynamic and complex websites by using Python web scraping tools, and get a better understanding of the data visualization concepts. You will also learn how to apply these concepts and overcome any challenge while implementing them. To ensure that you get the best of the learning experience, in this Learning Path we combine the works of some of the leading authors in the business.
 

Basic knowledge:
Anyone opting for this course should be well-versed with the basics of Python.

Who should take this course
This course is ideal for those who are new to data analysis and for those who are already into data analytics and want to enhance their data extraction and visualization skills.

 

Accreditation
Course Completion Certificate.