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Quick Facts

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

Course Overview

The Data Science for Smart Cities training is a 16-week course and requires the effort of six to nine hours every week. Purdue University has designed a programme that falls under the engineering category. Prof Satish Ukkusuri and Eunhan Ka will teach the intermediate level course. Language of the training and video transcripts are in English.

The focus of the Data Science for Smart Cities online programme is how to utilise scientific tools and techniques to analyse, infer, and predict large-scale data. Data present in city networks and collected from various sources such as social media, GPS vehicular data, mobile phones, social network, etc. will be used. The Data Science for Smart Cities syllabus will introduce basic data science methods for the analysis of these datasets. The Data Science for Smart Cities training will deal with these methods as well as applying those using Python for smart city issues.

Candidates can enrol for the Data Science for Smart Cities certification without paying any fee. However, the ones interested in acquiring a verified certificate can do so by purchasing it. Additionally, the Data Science for Smart Cities certificate will be signed by the instructor and have the university logo printed, making it a valuable addition to resumes or CVs.

The Highlights

Intermediate-level
16 weeks to complete
6-9 hours of study every week
Instructor-led course
Free enrolment
Engineering category
Lectures in English
Video lectures with transcript
Designed by Purdue University
Instructed by Satish Ukkusuri
Instructed by Eunhan Ka
Verified certification

Programme Offerings

free enrollment
project assessments
Virtual exam
Online Course
Intermediate-level
16 weeks course
Engineering category
Instructed In English
Video lectures with transcript
Verified certificate

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 187249	yes	Purdue University, West Lafayette

Data Science for Smart Cities fee structure

Course	Total fee
Data Science for Smart Cities(Audit Only)	Free
Data Science for Smart Cities Certification(Verified Track)	Rs. 187,249

Eligibility Criteria

Candidates who wish to participate in the Data Science for Smart Cities online certification need to have an undergraduate-level education in Calculus and a basic understanding of statistical analysis.

What you will learn

Data science knowledgeKnowledge of PythonKnowledge of Data mining

With the Data Science for Smart Cities online intermediate-level course, candidates will perform well in the following domains:

Basic concepts of optimisation, problem formulation, algorithms, types of datasets, data and measurement, data pre-processing, and identifying a task
Optimisation, data mining, data pre-processing using Python
Regression models, analysis, and application to smart cities
Applications and approaches of association rule mining to urban systems
Classification problems, Naïve Bayes classifier, logistic regression, and Bayesian network classifier
Decision tree algorithms and practical issues
Support vector machines, evaluation of classifier performance, and ensemble classifiers
Data clustering algorithms, similarity/dissimilarity measures, types of algorithms, and hierarchical and partitional clustering
Neural networks, ANN and neuron model, land use prediction with ANN
Deep learning concerning smart cities

Who it is for

Data AnalystData ScientistData Engineer

Any of the candidates are welcome to join the Data Science for Smart Cities online course except the residents from Cuba, Iran, and the Crimea region of Ukraine.

Admission Details

Step 1. To enrol for the Data Science for Smart Cities intermediate-level course, visit the official website link edX: https://www.edx.org/..

Step 2. Go to the menu bar and select the ‘sign-in’ option or ‘Register’ option.

Step 3. Google, Apple, Microsoft, and Facebook accounts may be used to create an account or candidates can fill in the required information such as the name, email, username, password, and country of residence, to create one.

Step 4. After getting that done, enter the course title in the search bar and locate the course

Step 5. Tap on the ‘Enroll’ option to enrol for free or choose to pay a fee for a verified certificate.

Application Details

To enrol for the Data Science for Smart Cities intermediate-level training, candidates do not have to fill in any application forms. Simply create an account and join the course.