Learning Path - Python - Effective Data Analysis Using Python

(Instant booking on GulfTalent)
Location
Online
Dates
Can be taken anytime
Course Type
Professional Training Course
Accreditation
Yes (Details)
Language
English
Course Fee
$10

Course Overview

Description:

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.

Course content

What will you learn:

  • Scrape the Twitter stream to collect real-time data
  • Predictive methods that can forecast and predict future trends based on current data
  • Use the Selenium module and scrape with Selenium
  • Discover how to perform parsing with BeautifulSoup
  • Make 3D visualizations mainly using mplot3d

About Course Provider

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.

How to enroll?

You can book the course instantly by paying on GulfTalent.

(Instant booking on GulfTalent)

Frequently asked questions

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