foreign
mining for Smart City course a part of
the postgraduate certificate in 5G
technology and iot on Coursera my name
is Dr dhiraj Kumar and I shall be your
instructor
this course introduces various Data
Mining and machine learning techniques
and several types of smart City
generated data to which they can be
applied this course uses Python
programming language to implement
various machine learning and data mining
tasks and then interpret the results to
extract actionable knowledge
the course will provide an insight into
data preprocessing and Mining task
identification the course also includes
Hands-On experiments using many
real-life data sets to enable you to
experiment on your domain related novel
data sets the course will start with an
introduction to data mining along with
details of its applications for smart
City generated data
we will then give a brief introduction
to Python programming for data mining
equipped with these tools the course
will describe various data mining tasks
such as supervised learning unsupervised
learning anomaly detection and a few
Advanced Data Mining techniques the
course will explain how to avoid false
discoveries using statistical
significance testing and hypothesis
testing it also includes python
implementation of various popular data
mining algorithms when applied to smart
city data
each week to enhance your learning you
will have a practice quiz grade date
quiz and discussion prompts after
completing this course you will have a
deep understanding of various data
mining techniques and how to implement
them using python 3.
you will be well versed with forms and
types of smart City generated data sets
you will know how to read and
pre-process them to a suitable form for
data mining and then apply several data
mining techniques and interpret the
results
this course is recommended for you if
you wish to join this exponentially
growing field of data analytics and
machine learning in industry or higher
education
I wish you all the best for successfully
completing this course
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