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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. 18 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 | UM–Ann ArborCoursera |
Using Python to Access Web Data Fees Details
Description | Amount in INR |
Fee for 1-month | Rs. 4,115 |
Fee for 3-month | Rs. 8,230 |
Fee for 6-month | Rs. 12,345 |
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
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
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
- Regular Expressions
- Extracting Data
- Bonus Interview: Bjarne Stroustrup - C++
- Bonus: Office Hours - Den Haag
Readings
- Python Regular Expression Quick Guide
Videos
- Networked Technology
- 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
Quiz
- 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
Quiz
- Reading Web Data From Python
Videos
- Data on the Web
- eXtensible Markup Language (XML)
- XML Schema
- 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)
Quiz
- eXtensible Markup Language
Videos
- JavaScript Object Notation (JSON)
- Worked Example: JSON (Chapter 13)
- Interview: Douglas Crockford - Discovering JSON
- Service Oriented Approach
- Video: Service Oriented Architectur- Using Application Programming Interfaces
- Worked Example: GeoJSON API (Chapter 13)
- 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
Module
- REST, JSON, and APIs
Instructors
UM–Ann Arbor Frequently Asked Questions (FAQ's)
The candidates need to dedicate approximately 18 hours of their time in completing Using Python to Access Web Data programme from Coursera.
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.
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.
The Using Python to Access Web Data programme is offered by the University of Michigan.
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.