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It is one of the online courses that the University offers to the students. This course mainly focuses on the Python Programming skills through data analysis. The math in this program isn’t very complex and the programs are generally quite short with a workload no more than a few hours per week. By completing this course you will be understand, read, parse and manipulate data using Python.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: Open Michigan

Course Curriculum

Module: 01
Week 00 Lecture – Python for Informatics: Introduction and Welcome 00:20:00
Week 01 Lecture – Python for Informatics: Chapter 1 – Introduction 01:57:00
Week 02 Lecture – Python for Informatics: Chapter 2 – Expressions 00:30:00
Week 03 Lecture – Python for Informatics: Chapter 3 – Conditional Execution 01:08:00
Week 04 Lecture – Python for Informatics: Chapter 4 – Functions 00:48:00
Week 05 Lecture – Python for Informatics: Chapter 5 – Iterations 01:22:00
Week 06 Lecture – Python for Informatics: Chapter 6 – Strings 00:58:00
Week 07 Lecture – Python for Informatics: Chapter 7 – Files 00:44:00
Week 08 Lecture – Python for Informatics: Chapter 8 – Lists 00:52:00
Module: 02
Week 09 Lecture – Python for Informatics: Chapter 9 – Dictionaries 01:02:00
Week 10 Lecture – Python for Informatics: Chapter 10 – Tuples 00:36:00
Week 11 Lecture – Python for Informatics: Chapter 11 – Regular Expressions 01:05:00
Week 12 Lecture – Python for Informatics – Chapter 12 – HTTP 01:37:00
Week 13 Lecture – Python for Informatics Chapter 13 – Web Services (Part 1/3) 01:29:00
Week 13 Lecture – Python for Informatics Chapter 13 – Web Services (Part 2/3) 00:12:00
Week 13 Lecture – Python for Informatics Chapter 13 – Web Services (Part 3/3) 00:22:00
Week 14 Lecture – Python for Informatics Chapter 14 – Relational Databases and SQLite 01:00:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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