Description
The course aims at equipping participants to be able to use python programming for solving data science problems.
INTENDED AUDIENCE
Final Year Undergraduates
PRE-REQUISITES
Knowledge of basic data science algorithms
ABOUT THE INSTRUCTOR
Prior to joining IIT Madras as a professor, Prof.Rengaswamy was a professor of Chemical Engineering and Co-Director of the Process Control and Optimization Consortium at Texas Tech University, Lubbock, USA. He was also a professor and associate professor at Clarkson University, USA and an assistant professor at IIT Bombay. His major research interests are in the areas of fault detection and diagnosis and development of data science algorithms for manufacturing industries.
Certification Process
1. Join the course
Learners may pay the applicable fees and enrol to a course on offer in the portal and get access to all of its contents including assignments. Validity of enrolment, which includes access to the videos and other learning material and attempting the assignments, will be mentioned on the course. Learner has to complete the assignments and get the minimum required marks to be eligible for the certification exam within this period.
COURSE ENROLMENT FEE: The Fee for Enrolment is Rs. 1000 + GST
2. Watch Videos+Submit Assignments
After enrolling, learners can watch lectures and learn and follow it up with attempting/answering the assignments given.
3. Get qualified to register for exams
A learner can earn a certificate in the self paced course only by appearing for the online remote proctored exam and to register for this, the learner should get minimum required marks in the assignments as given below:
CRITERIA TO GET A CERTIFICATE
Assignment score = Score more than 50% in at least 3/4 assignments.
Exam score = 50% of the proctored certification exam score out of 100
Only the e-certificate will be made available. Hard copies will not be dispatched.”
4. Register for exams
The certification exam is conducted online with remote proctoring. Once a learner has become eligible to register for the certification exam, they can choose a slot convenient to them from what is available and pay the exam fee. Schedule of available slot dates/timings for these remote-proctored online examinations will be published and made available to the learners.
EXAM FEE: The remote proctoring exam is optional for a fee of Rs.1500 + GST. An additional fee of Rs.1500 will apply for a non-standard time slot.
5. Results and Certification
After the exam, based on the certification criteria of the course, results will be declared and learners will be notified of the same. A link to download the e-certificate will be shared with learners who pass the certification exam.
CERTIFICATE TEMPLATE
Course Details
Week 1:
BASICS OF PYTHON SPYDER (TOOL)
• Introduction Spyder
• Setting working Directory
• Creating and saving a script file
• File execution, clearing console, removing variables from environment, clearing environment
• Commenting script files
• Variable creation
• Arithmetic and logical operators
• Data types and associated operations
Week 2:
Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range
NumPy and Array
Week 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
Reading files
Exploratory data analysis
Data preparation and preprocessing
•Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries
Scatter plot
Line plot
Bar plot
Histogram
Box plot
Pair plot
•Control structures using Toyota Corolla dataset
if-else family
for loop
for loop with if break
while loop
•Functions
Week 4: CASE STUDY
•Regression
Predicting price of pre-owned cars
•Classification
Classifying personal income
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