Executive Program in Data Science & Analytics

Why should you take this programme?

 In the world of unstructured data, Data Analytics has become ever more challenging and interesting. Every statistics of the IT world suggest that Data Science and Analytics are amongst the Top 5 IT Jobs in high demand this year. One of the worlds famous tech group, CIO.com predicts that the skills around Data Science will remain as popular for the next few years and will be an important constituent of every other future technology skills. The demand side quotes an average of Rs 7 – 10 L as the average salary for professionals with certification in Data Science and Analytics 

Type of Programme

We acknowledge that you may be a graduate still in search of jobs or you may be a working professional, but wanted to change to Data Science space. We have designed courses for as per the convenience of working professionals. The course will be run in a blended mode having self-paced learning and weekend classroom-based training. Total of 170 hrs of training with two projects will be part of our program, which is spread over approximately 14 weeks. A total of 115 hrs of classroom training will be
organized in our labs and 55 hrs of online self-paced and live learning.

Course Assessment & Certification

There will be a formative assessment throughout the program and a summative assessment at the end of the program. A weighted average of formative and summative assessments will lead to certification. Participants will need to obtain 60 % and above to obtain successful completion certification. They also should have a minimum attendance of 70% both in the classroom and online discussion forums. Other participants will obtain a certification of participation for the course. Candidates will be given one free chance to improve their summative assessment score if it helps them to obtain certification. Any additional attempts will need to be paid for, separately (Please note, there will not be a retake for formative assessments )

Certified Participants will be referred to our partner organizations for any of their Data Science & Analytics openings

Course Highlights


  • Preparatory Module
    • Python for Data Science
    • Data Analytics Using Excel
    • Data Visualization using Tableau
  • Statistics Module
    • Introduction to Statistics
    • Classification, Tabulation & Presentation of Data
    • Measures of Central Tendency & Dispersion
    • Simple Correlation & Regression
    • Testing of Hypothesis, Chi- Square Test, F-Distribution, ANOVA
    •  Probability and Data Science
  • Data Science Basic Module 
    • Linear Regression
    • Logistic Regression
    • Clustering
    • Principle Component Analysis (PCA)
    • Support Vector Machine (SVM)
    • Case Study
  • Two Capstone projects

Fees Schedule

Fees for the program is INR 25,800 plus taxes . An Early  bird discount of Rs 1000 from  the fee is applicable  if you are registering  before 25th December .The initial registration Fees (Rs 1000/- ) needs to be paid to us  through online for reserving the seats which will be adjusted against the total fees.For further continuation of the course ,the fees need to be paid on or before the first day of class room training.There is a facility for paying the fees in two installments .You are eligible to get a discount of Rs 1000 on fees if you are making full payment in the beginning    . After attending our first online introduction session, if you are not satisfied, we shall refund the registration fees to you and will not entertain any refund request before 5 days of first class room training. 

Bring a buddy and get Rs.1000 reduction in your fees.

Batch Start Date  – 9  February  2020 @ Thrissur
Available Seats : 24
Remaining seats available : 1 Seat @ Thrissur

Last Date for Early Bird Discount : 25th December 2019

Locations : Technopark – Trivandrum,  Infopark -Thrissur

Seats are allocated on first come first serve basis

Certificate of Completion


For more information 

Dr. Pradeep.S

Knowledge Officer

ICT Academy of Kerala

Mobile: 9947711107

Phone -o471  2700 811