Capstone: Retrieving, Processing, And Visualizing Data With Python
Examine the technical know-how of Python vis-à-vis data sources through Capstone: Retrieving, Processing, and Visualizing Data with Python by Coursera.
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3,369 INR Get updates on Eligibility, Admission, Placements Fees Structure
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 | UM–Ann ArborCoursera |
Capstone: Retrieving, Processing, And Visualizing Data With Python fees details:
Particulars | Amount |
Course Fee, 1 Month | Rs. 1,676 |
Course Fee, 3 Month | Rs. 3,369 |
Course Fee, 6 Month | Rs. 5,029 |
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
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
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
- Capstone Completion Options
Assignment
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
App Item
- Peer Grade: Page Rank
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)
Discussion Prompt
- Identifying a Data Source
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
App Item
- Loading and Modeling Mail Data
Video
Office Hours: Dr. Chuck Pretends to be Anthony Bourdain
Reading
Accessing New Data Sources - Introduction
Discussion Prompt
- Analyzing a Data Source
Videos
- Worked Example: Gmane / Mail - Visualization (Chapter 16)
- Office Hours, Montreal, Canada
- Interview: Nathaniel Borenstein - The Father of MIME
Reading
Visualizing Email Data
App Item
- 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
- A special reason to celebrate your success
Discussion Prompt
- Data Analysis and Visualization
Instructors
Articles
Student Community: Where Questions Find Answers