About this Course

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Shareable Certificate
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Beginner Level

Basic knowledge of python programming language, probability and statistics. Working with analyzing data to extract knowledge.

Approx. 63 hours to complete
English

What you will learn

  • Describe types of smart city-generated datasets, data mining techniques, and how to implement them using Python 3.

  • Explain how to read and preprocess data for data mining.

  • Apply data mining techniques to smart city-generated data and visualize and interpret the physical implications of the results.

Skills you will gain

  • Mathematics
  • Python Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Basic knowledge of python programming language, probability and statistics. Working with analyzing data to extract knowledge.

Approx. 63 hours to complete
English

Offered by

Placeholder

Indian Institute of Technology Roorkee

Syllabus - What you will learn from this course

Week
1
Week 1
24 minutes to complete

Getting Started with the Course

24 minutes to complete
2 videos (Total 4 min), 1 reading
5 hours to complete

M1: Introduction to Data Mining for Smart Cities

5 hours to complete
12 videos (Total 79 min), 4 readings, 2 quizzes
Week
2
Week 2
8 hours to complete

M2: Introduction to Python Programming for Data Mining

8 hours to complete
6 videos (Total 54 min), 4 readings, 2 quizzes
Week
3
Week 3
16 hours to complete

M3: Supervised Learning

16 hours to complete
12 videos (Total 91 min), 5 readings, 2 quizzes
Week
4
Week 4
12 hours to complete

M4: Unsupervised Learning

12 hours to complete
11 videos (Total 79 min), 5 readings, 3 quizzes

Frequently Asked Questions

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