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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Offered by the University of Michigan, the Using Python to Access Web Data Programme is conducted by Coursera. Coursera is one of the premium skill-based training and learning academies which enables professionals to seek and specialise courses that will aid them in gaining professional competitiveness and edge over other professionals. Specially curated by experts from the industry, Using Python to Access Web Data Programme is an ideal programme to learn the basics of Python as well as implement it in real-life scenarios. The skills that the candidates will master are Python 3, Web Scraping, XML, JSON and others.

This certification is a 7-day free trial programme. Thereafter if the candidate is willing to continue then one can do so by paying a nominal amount per month. The programme will also cover Json, HTML and XML data formats in Python. In addition to this, candidates will get a digital or electronic certificate as well as post completion of the course.

The Highlights

Approx. 19 hours of course duration
Offered by the University of Michigan
100% Online offering
Electronically shareable Certificate
Availability of programme in different language subtitles
Availability of Financial Aid
7-Days Free Trial

Programme Offerings

videos
Readings
online learning
assignments
Quiz
Exercises

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Using Python to Access Web Data Fees Details

Description	Amount in INR
Fee for 1-month	Rs. 4,001
Fee for 3-month	Rs. 8,003
Fee for 6-month	Rs. 12,004

Eligibility Criteria

Certification Qualifying Details

Once the candidate enrols for the programme, he/she will gain access to the programme. But, candidates will only get the certificate of completion if he/she completes the entire programme properly. Once the certificate is approved, the electronic certificate will get added in the Accomplishments section. The candidate can easily view and print the certificate. Since this is an e-certificate, it can be easily added to the LinkedIn Profile of the candidate or shared further.

What you will learn

Knowledge of Python

Candidates will gain immense learning and exposure across different elements covered under the Using Python to Access Web Data Programme.

Candidates will be able to gain comprehensive learning and understanding about different technologies namely, XML, Python Programming, JSON, Web Scraping, Urllib, Strings, etc
The programme is devised in a way that it covers all the aspects of Python 3.
The candidates will be prepared to deal with and solve the day-to-day business complexities.
The candidates will get familiar with the latest developments that are happening in the field of Python.

Who it is for

Software DeveloperWeb developerPython ProgrammerIT Engineer

Admission Details

Candidates can go through Machine Learning with Python course admission process to enrol for this programme:

Step 1: First and foremost thing, a candidate should go to the course page

Step 2: There is a tab ‘Enroll For Free’ which should be clicked to proceed.

Step 3: Thereafter the candidate needs to sign up via Google/Facebook or Apple ID

Step 4: So this programme can be accessed for 7 Day for Free. This is a trial version. In case, one wants to continue then the candidate needs to make a fee payment or apply for Financial Aid.

Step 5: Post this, candidates can access the programme and learn from it

The Syllabus

Videos

Welcome to The Course
Welcome to Python - Guido van Rossum
Windows 10: Installing Python and Writing A Program
Windows: Taking Screen Shots
Macintosh: Using Python and Writing A Program
Macintosh: Taking Screen Shots

Readings

Python Textbook
Help us learn more about you!
Course Syllabus
Welcome to Python 3
Notes on Choice of Text Editor
Notice for Auditing Learners: Assignment Submission

Videos

11.1 - Regular Expressions
11.2 - Extracting Data
Bonus Interview: Bjarne Stroustrup - C++
Bonus: Office Hours - Den Haag

Readings

Python Regular Expression Quick Guide

Videos

12.1 - Networked Technology
12.2 - Hypertext Transfer Protocol (HTTP)
Worked Example: Sockets (Chapter 12)
Using the Developer Console to Explore HTTP
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET
Bonus Video: Robert Cailliau - co-Inventor of the Web
Bonus: Office Hours - Atlanta GA (Buckhead)
Fun: Dr. Chuck @ CNN Reading the News

Readings

If You Want to Learn More

Practice Exercise

Networks and Sockets

Videos

12.3 - Unicode Characters and Strings
12.4 - Retrieving Web Pages
Worked Example: Using Urllib (Chapter 12)
12.5 - Parsing Web Pages
Worked Example: BeautifulSoup (Chapter 12)
Bonus: Office Hours - Montreal
Bonus Interview: Tim Berners-Lee - Inventing the Web
Fun: I Got My Mojo Working - Geneva, Switzerland

Reading

Notes Regarding the Use of BeautifulSoup

Practice Exercise

Reading Web Data From Python

Videos

13.1 - Data on the Web
13.2 eXtensible Markup Language (XML)
13.3 - XML Schema
13.4 - Parsing XML
Worked Example: XML (Chapter 13)
Interview: Roy Fielding - Understanding the REST Architecture
Bonus: Office Hours - Boston
Bonus Video: Ian Horrocks / RDF / OWL (Advanced)

Practice Exercise

eXtensible Markup Language

Videos

13.5 - JavaScript Object Notation (JSON)
Worked Example: JSON (Chapter 13)
Interview: Douglas Crockford - Discovering JSON
13.6 - Service Oriented Approach
Video: Service Oriented Architectures
13.7 - Using Application Programming Interfaces
Worked Example: GeoJSON API (Chapter 13)
13.8 - Securing API Requests
Worked Example: Twitter API (Chapter 13)
Bonus: Office Hours - Melbourne, AU
Bonus: Office Hours - Santa Monica, CA
Bonus: Class Reunion at Bletchley Park

Readings

Please Rate this Course on Class-Central
Post-Course Survey
Keep Learning with Michigan Online

Practice Exercise

REST, JSON, and APIs

Practice Exercise

Regular Expressions

Instructors

UM–Ann Arbor Frequently Asked Questions (FAQ's)

1: How much do I need to dedicate after enrolling in Using Python to Access Web Data programme?

The candidates need to dedicate approximately 19 hours of their time in completing Using Python to Access Web Data programme from Coursera.

2: If I am unable to make the payment, what can I do?

In case, you are not able to make the payment then you can readily seek Financial Aid from Coursera. The Candidate needs to simply apply by clicking Financial Aid and then register for financial aid by enrolling for it.

3: How can I get access to the programme?

Once the candidate signs up and creates the login in, a tab Enrol for free needs to be clicked. This will give free access to a 7-day free trial programme. The candidate will immediately get access to the programme.

4: Who conducts the Using Python to Access Web Data programme?

The Using Python to Access Web Data programme is offered by the University of Michigan.

5: What are the major skills that I will gain during Using Python to Access Web Data programme?

Candidates will learn different skills namely, Web Scraping, Python Programming, XML, JSON, Python 3 and many others during the Using Python to Access Web Data programme.