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Quick Facts

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

Course Overview

In the Capstone: Retrieving, Processing, and Visualizing Data with Python Programme, learners will explore all the fundamentals of visualising, processing and retrieving data using Python programming language. Projects will comprise all elements of the specialisation. The first part of the course will focus on acquainting students with present technologies and giving them enough knowledge to work on their own projects and visualise other data.

This course covers Python 3 and deals with skills like Python Programming, Database (DBMS), Data Analysis and Data Visualization (DataViz) amongst everything else. It is a part of Python for Everybody Specialization course offered by the University of Michigan, thus honed by experts who have worked in the present field for years and brought their valuable insights and takeaways from the current domain for the candidates.

Besides this, the curriculum will also brief course takers with basic concepts surrounding programming, namely- networked application program interfaces, data structures and databases, all using Python which holds extreme significance in Data Analysis and Data Science.

The Highlights

Certification from Coursera
Supplemental reading material
Subtitles for multiple languages
Practice quizzes
Approx. 9 hours required for completion
Offered by University of Michigan

Programme Offerings

Online Classrooms
english-based video lectures
Readings
Programming Assignments

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Capstone: Retrieving, Processing, And Visualizing Data With Python fees details:

Particulars	Amount
Course Fee, 1 Month	Rs. 4,023
Course Fee, 3 Month	Rs. 8,046
Course Fee, 6 Month	Rs. 12,069

Eligibility Criteria

Certification Qualifying Details

Coursera issues a shareable Certificate of Completion to all the learners who complete the course and assignments and the grading of the same. But this certification shall only be given to those candidates who pay for the five-course series or Coursera Plus after or in course of their seven-day trial.

What you will learn

Database ManagementKnowledge of PythonKnowledge of Data Visualization

Capstone: Retrieving, Processing, and Visualizing Data with Python Programme creates a theoretical foundation and hands-on practical experience for the candidates by providing them extensive knowledge on-

Running a simple version of Google PageRank algorithm
Selecting, processing, and visualising data as per their choice
Identifying data sources and making forum posts analysing and describing the same.
Retrieving, cleaning, and modelling of the data

Who it is for

Data AnalystData ScientistComputer Programmer

Capstone: Retrieving, Processing, and Visualizing Data with Python Certification Course broaden the ambit of information involving the use of Python 3 and aids in the professional career graph of the following-

Programmers are willing to learn fundamental programming concepts like data structures.
Python Developers wishing to gain insights on the utility of the language in visualising, processing and retrieving data
Data Analysts
Data Scientists

Admission Details

Applicants of Capstone: Retrieving, Processing, and Visualizing Data with Python Programme need to trace the steps given below to register themselves-

Step 1: Candidates need to browse through the course page.

Step 2: Further, they need to create an account or Coursera. If they have an account beforehand, they can simply log in through Facebook or Google.

Step 3: Candidates can choose to enrol for three plans-

Buy the entire five-course series offered by the University of Michigan.
Opt for this course.
Purchase Coursera Plus.

The option of a seven-day trial applies to all the above options.

Step 4: Candidates can tap on the “Audit the Single Course” option at the top right to audit the present course.

Step 5: Candidates will get access to the course material and have their own dashboard after that.

The Syllabus

Videos

Introduction: Welcome to the Class
Unicode Characters and Strings
Office Hours in Den Haag, Netherlands
Interview: John Resig and Pam Fox - Khan Academy

Readings

Capstone Overview
Help Us Learn More About You!
Course Syllabi
Python Textbook
Coming from Python 2 - Encoding Data in Python
Capstone Completion Options

Practice exercise

Python for Everybody - A Review

Videos

Page Rank Overview
Worked Example: Page Rank - Spidering (Chapter 16)
Worked Example: Page Rank - Computation (Chapter 16)
Worked Example: Page Rank - Visualization (Chapter 16)
Office Hours Detroit, Michigan
Interview: Anil Jain - Image Processing

Readings

Building a Search Engine - Introduction
Peer Graded Assignment - Instructor Input

Videos

Dr. Chuck's New Kitten - Sakaiger
Interview: Bruce Schneier - The Security Mindset

Readings

Identifying Your Data Source - Introduction
List of Data Sources (Instructional Staff Curated)

Videos

Gmane Introduction
Worked Example: Gmane / Mail - Retrieval (Chapter 16)
Worked Example: Gmane / Mail - Model (Chapter 16)
Office Hours Baltimore, MD
Interview: Bruce Schneier - Building Cryptographic Systems

Reading

Spidering and Modeling Email Data - Introduction

Video

Office Hours: Dr. Chuck Pretends to be Anthony Bourdain

Reading

Accessing New Data Sources - Introduction

Videos

Worked Example: Gmane / Mail - Visualization (Chapter 16)
Office Hours, Montreal, Canada
Interview: Nathaniel Borenstein - The Father of MIME

Reading

Visualizing Email Data

Videos

Office Hours - Dr. Chuck's Office - Ann Arbor, Michigan
Video: Steve Jobs, NeXT and the Internet

Readings

Visualizing new Data Sources - Introduction
Post-Course Survey

Instructors

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

1: Does Coursera award university credit for completion of this course?

Not by default, however, this depends on the university which may choose to accept the certification for credit. Candidates must confirm the same from their university.

2: When can candidates get access to assignments and course material?

This depends on the type of enrollment. Audit mode gives free access to course material. Graded assignments and certification can only be availed after purchasing the course.

3: Do the assignments have to comply with plagiarism guidelines?

Yes, some assignments have an option to check plagiarism and candidates will be able to see the "Check for Plagiarism" button at the bottom of their screen after uploading their assignment. There can be unlimited re-checks.

4: What should be done if a candidate requires more peer reviews for his assignment to get a grade?

Such candidates can adjust their deadlines or resort to the discussion forum to check people asking for reviews and post their request for a peer review.

5: What to do in case of a problem in the course material?

Candidates must follow the steps below-

Open the course material
Click on the "confused face" icon
Describe the problem in detail and send it.

6: What should be done in case of error in the payment?

Candidate can try the following-

Ensure that an approved payment method is used. (gift cards, debit cards, or PayPal may not work for certain countries or types of payments).
Change their browser or device
Clear their cache and cookies