12 months / Live & interactive / Weekend classes PG CERTIFICATE PROGRAM IN MACHINE LEARNING AND BIG DATA ANALYTICS
CSTCP-IIIT Allahabad, Prayagraj

APPLY BEFORE

17/11/2020

Download Brochure


Duration12Months

Batch Start - 04 October 2020

Sundays from 10.00 a.m. to 01.15 p.m. IST

Organizations today operate in a world surrounded by data and data that is understood and analyzed smartly can play a pivotal role in determining the success of many businesses. Data Science, through its various inherent tools and techniques, is successfully adding value to all the business models by using statistics and deep learning to make better, relevant and timely decisions. Understanding the dynamics of data and knowing how to deal with data has therefore become a critical skill in an organizational context. No wonder that Harvard Business Review has termed Data Scientist as the Sexiest Job of the 21st Century! The objective of this course is to introduce participants to the intricacies of data science and techniques of machine learning. This course will expose participants to hands on experience of popular and in-demand tools in the BDA and ML area and has been designed with an intention to impart practical problem solving skills to participants which in turn will enhance prospects of career growth in this sunrise domain.

Eligibility

Education

  • For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline
  • For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
  • 4 years of work experience

Prerequisites

  • Mathematics or Statistics as a subject in Class XII or Graduation
  • Formal education in or knowledge/experience of at least one programming language
  • This course is entirely hands-on and so it is recommended, though not a necessity that students have two devices (laptop/desktop) – one to follow the lecture, and the other for hands-on practice alongside during the class.

Faculty

Dr. Krishna Pratap Singh

Associate Professor CSTCP-IIIT Allahabad, Prayagraj

Dr. Krishna Pratap Singh is an Associate Professor at Department of Information Technology, Indian Institute of Information Technology Allahabad. Prior to this he worked as an Assistant Professor (2013-2018), and Lecture (2009-2012) at IIIT Allahabad. He did PhD & Master from IIT Roorkee in 2009 & 2004 respectively. He is heading Machine Leaning & Optimization Lab at IIITA. His teaching & research interests are Machine learning, representation learning, Transfer Learning & Optimization.

Dr. Manish Kumar

Programme Co-ordinator CSTCP-IIIT Allahabad, Prayagraj

Dr. Manish Kumar has completed M.Tech(CS) from BIT Mesra and got Ph.D. degree from Indian institute of information Technology, Allahabad, Prayagraj, India on topic” Data Management in Wireless Sensor Networks. Presently he is working as an Associate Professor in Department of IT, IIIT-Allahabad. He is coordinator of research lab Data Analytics Laboratory (DAL) at IIIT-A. His research interest includes Data aggregation, data processing, inference, Compressive sensing in WSNs & big data analytics.

Dr. Neetesh Purohit

Associate Professor CSTCP-IIIT Allahabad, Prayagraj

Dr. Neetesh Purohit is an Associate Professor at IIITA Prayagraj. His research and development work in the fields of wireless communications, ICT and DSP has significant involvement of the principles of statistics.

Dr. Pritish Kumar Varadwaj

Associate Professor CSTCP-IIIT Allahabad, Prayagraj

Dr. Pritish Kumar Varadwaj received his Ph.D. in Information Technology from the Indian Institute of Information Technology-Allahabad, India in the year 2009 and currently working as an Associate Professor at Indian Institute of Information Technology-Allahabad, India. His main research interests are in the field of Machine Learning & Big Data Analytics on Biological Data, Molecular Modelling, Cheminformatics and Stringology.

Dr. Satish Kumar Singh

Associate Professor CSTCP-IIIT Allahabad, Prayagraj

Dr. Satish Kumar Singh is with the Indian Institute of Information Technology Allahabad India, which is declared as an Institute of National Importance by Government of India as an Associate Professor at the Department of Information Technology from 2013. Before joining the IIIT Allahabad, he served the Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology Guna, India from 2005 to 2012. He is having about 14 years of academic and research experience in various capacities at JUET Guna and IIIT Allahabad. Presently he is heading the Computer Vision and Biometrics group and in-charge of the Computer Vision and Biometrics Lab (CVBL) at IIIT Allahabad from 2015 onwards. His group is greatly involved in the research and development of the Signal & Image Processing, Vision, and Biometrics algorithms, and system. His areas of interest include Image Processing, Computer Vision, Biometrics, Deep Learning, and Pattern Recognition.

Dr. Venkatesan Subramanian

Associate Professor CSTCP-IIIT Allahabad, Prayagraj

Dr. Venkatesan Subramanian is an Associate Professor in the Department of Information Technology, Indian Institute of Information Technology Allahabad. He received Ph.D. in 2010 from the Department of Computer Science and Engineering at Anna University, Chennai, India in the area of Mobile Agent Security. He has published more than 20 papers in reputed International Journals and Conferences. His current research interests includes Blockchain technology, Network and Information Security. His teaching interest includes Compiler Design, Computer Networks, Blockchain and Cryptocurrency and Database Security.

Prof. Shekhar Verma

Professor (IT) CSTCP-IIIT Allahabad, Prayagraj

Prof. Shekhar Verma received the Ph.D. degree in computer networks from the Indian Institute of Technology (BHU), Varanasi, India, in 1993. He is currently working as a Professor (IT) with the Indian Institute of Information Technology, Allahabad, India. His research interest includes machine learning, computer networks, wireless sensor networks, wireless networks, information and networks security, vehicular technology, and cryptography.

Certification

Certificate of Completion for participants successfully passing the evaluation criteria. Certificate of participation for the rest.

Talentedge Way

96%

Completion Rate

92%

Satisfaction Score

78%

Referability

Case study learning

Hands-on learning using case studies, projects and simulations

Live & Interactive Digital Learning

Live tutored classes not recorded sessions

Convenient class schedule

Scheduled classes at convenient timings for working professionals

Classroom based learning

Interactive in session peer to peer and with faculty discussions for in-depth learning against isolated learning of recorded sessions

Mobile platform enabled

Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers

One on one interactions

All classes are delivered live by the eminent faculty encouraging interactive discussions and query resolution

Pedagogy

The delivery would comprise a judicious mix of live virtual lectures, discussions, case studies and experience sharing through peer discussions. The course design is oriented to facilitate learning through association of the various management concepts and its application in the business world. Across different modules, participants may be encouraged to apply or relate their in-class learning to live situations at work, peer learning therefore would be a key pillar of the process. Take-home projects may be assigned in certain modules.All enrolled students will also be provided access to our SLIQ Cloud Campus through which they may access other learning aids, reference materials, assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the professors, real time during the class or offline via our SLIQ Cloud Campus to raise questions and clear doubts.

Assessment

Evaluation methodology is the discretion of the faculty. The methodology includes module based assessments, class contribution, capstone project and any other component as decided by the respective course faculties. Additionally, faculty may choose to conduct a pre-assessment prior to the commencement of certain modules, to ascertain participant readiness to progress further. Basis analysis of the pre-assessment, an individual participant may be required to undertake some refresher/self-study on certain basic areas to help better cope and comprehend the programme contents. A minimum of 75% attendance to the live classes is a prerequisite for the successful completion of this program. The programme may require participants to work on individual/group assignments and/or projects. The main objective of such assignments/projects will be to help the participants apply their conceptual learning in the programme to actual/real life scenarios. Participants who successfully complete the evaluations and satisfy the requisite attendance criteria will be awarded a certificate of completion. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate.

Institute

About CSTCP-IIIT Allahabad, Prayagraj

Established in 1999, as a center of excellence in Information Technology and allied areas. Institute was conferred the Deemed University status by Govt. of India in the year 2000. In 2014 the IIIT Act was passed, under which IIITA and four other Institutes of Information Technology funded by the Ministry of Human Resource Development were classed as Institutes of National Importance. Recently, IIITA Prayagraj has instituted the Centre for Short Term Certification Programmes (CSTCP) with the primary aim of conducting online courses through suitable online platforms provided by various companies. IIIT-Allahabad was ranked 119 in BRICS nation by the QS World University Rankings of 2019. Among government engineering colleges in India, IIIT-Allahabad ranked 10th by India Today in 2019 and 18 by Outlook India in 2019. It was ranked 82 among engineering colleges by the National Institutional Ranking Framework (NIRF) in 2019. IIIT-A is very famous for its placements and coding culture.

Syllabus

Data scientists must know how to code – start by learning the fundamentals of one of the most popular programming languages – Python.

  • Basics of Python
  • Conditional and Loops
  • String and List Objects
  • Functions & OOPs Concepts
  • Exception Handling
  • Database Programming

Once you have the core skill of programming covered– dip your feet in the nitty – gritties of working with data by learning how to wrangle and visualize them.

  • Reading CSV, JSON, XML and HTML files using Python
  • NumPy & Pandas
  • Relational Databases and Data Manipulation with SQL
  • Scipy Libraries
  • Loading, Cleaning, Transforming, Merging, and Reshaping Data

It is impossible to use data without knowledge of statistics. Collect, organize, analyze, interpret, and present data using these concepts of statistics.

  • Descriptive Statistics & Data Distributions
  • Probability Concepts and Set Theory
  • Probability Mass Functions
  • Probability Distribution Functions
  • Cumulative Distribution Functions
  • Modeling Distribution
  • Inferential Statistics
  • Estimation
  • Hypothesis Testing
  • Implementation of Statistical Concepts in Python

Machines have increased the ability to interpret large volumes of complex data. Combine aspects of computer science with statistics to formulate algorithms that help machines draw insights from structured and unstructured data.

  • Building Models Using Below Algorithms
  • Linear and Logistics Regression
  • Decision Trees
  • Support Vector Machines (SVMs)
  • Random Forests
  • XGBoost
  • K Nearest Neighbour & Hierarchical Clustering
  • Principal Component Analysis
  • Text Analytics and Time Series Forecasting

Complex data sets call for simple representations that are easy to follow. Visualize and communicate key insights derived from data effectively by using tools like Matplotlib.

  • Interactive Visualizations with Matplotlib

Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep-learning nets to uncover hidden structures in even unlabeled and unstructured data using TensorFlow.

  • Basics of Neural Network
  • Linear Algebra
  • Implementation of Neural Network in Vanilla
  • Basics of TensorFlow
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Generative Models
  • Semi-supervised Learning using GAN
  • Seq-to-seq Model
  • Encoder and Decoder

Lastly, manage your infrastructure with a data engineering platform like Spark so that your efforts can be focused on solving data problems rather than problems of machines.

  • Introduction to Big Data & Spark
  • RDD’s in Spark, Data Frames & Spark SQL
  • Spark Streaming, MLib & GraphX
p>This program includes two on-campus components of 3 days each which will take place at IIIT Allahabad campus. On Campus session 1 will be held in early January 2021 and On Campus Session 2 will take place in early June 2021. The dates for On Campus sessions will be communicated in due course. Attendance to On Campus Component is mandatory for all participants of this course.

Fee Schedule

For Indian Residents

Rs. 142500+ GST*

Payment Deadline: 17/11/2020

For International Students

USD: 2850

Payment Deadline: 17/11/2020

Instalment Schedule

1st Instalment 2nd Instalment 3rd Instalment 4th Instalment
Rs. 35000 + Rs. 30000 + Rs. 40000 + Rs. 37500 +
GST* GST* GST* GST*
USD 700 USD 600 USD 800 USD 750
Payment Deadline: 17/11/2020 Payment Deadline: 02/12/2020 Payment Deadline: 17/12/2020 01/01/2021

Candidates interested in the course will be shortlisted based on the following – The academic counsellors at Talentedge will check with the interested candidates for initial scrutiny of eligibility against specified eligibility criteria. After receiving the required information from the candidates, qualifying candidates will register themselves at Talentedge website and pay Rs. 1500 + GST / USD 25 towards the application processing fee. This amount will NOT be refunded to candidates. Candidates will then be required to take an online Talentedge Admission Assessment (TAA). A sample of TAA’s questions can be accessed here. Upon clearing the TAA, candidates will thereafter proceed to pay the fee as per the schedule. Candidates will also be required to complete a detailed application form and furnish soft copies of necessary documents. If you have any questions about the kind of supporting documents that needs to be uploaded, please speak with our counsellors who will be able to guide you through the process. All the information and documentation provided by you at the time of enrolment will be duly verified by the Institute and if it is determined that the information and/or documentation provided by you is inadequate and/or does not substantiate the entry requirements and prerequisite criteria to the course, then your enrolment to the course will be cancelled with immediate effect and the instalment of the course fee paid by you to Talentedge at the time of registration, will be refunded to you. Note Should you require any assistance with financial loans, our counsellors will be happy to support you with the guidelines for the same. However, the decision to grant the loan will depend on the adequacy of documents submitted and will be at the sole discretion of the respective financing agency/bank. The loan itself will be based on a mutual agreement exclusively between the individual candidate and the financing agency/bank and Talentedge will have no role whatsoever in this financing arrangement between the two parties. In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee through Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, Course Name and Contact number at the back of your Demand Draft/Pay Order.

All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.

Student Relations Manager,
TALENTEDGE,
5th Floor, Plot No. 21, Institutional Area, Sector 32,
Gurgaon 122001, Haryana, INDIA.

The Course fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows. A Late fee of INR 1000 + GST will be payable by the participant if the instalment is paid within 7 days after the due date. A late fee of INR 2500 + GST will be payable by the participant if the instalment is paid between 8 to 14 days from the due date. If the Fee Instalment is not received within 14 days from the due date, then the participant shall be considered a dropout and a Rejoining Fee of INR 5000 + GST will be charged to the participant if the participant wishes to continue with and complete the course and rejoining can be accommodated as per the course guidelines.

Cancellation by the Participant Cancellation by the Participant Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before the commencement date of course whichever is earlier. In the event of valid requests for refund of fees are received in the above specified timeframe, the application money shall be refunded after deducting a penalty of INR 5000 + GST (Administrative Charges). In all other cases, no refund shall be made. A participant may opt for rescheduling to a later batch of the same course / another course of prior to commencement of the course. However, such intimation must be made by the participant at least fifteen working days prior to the commencement of the course. The amount paid by the participant shall be considered as advance payment towards the next batch/alternative course. Further, the participant shall have to pay an administrative charge of INR 5000 + GST for facilitating such rescheduling. This is valid before the start of the course. However, if rescheduling is to be done after completion of certain modules, then participants will need to re-register by paying a re-registration fee of INR 25000 + GST. Cancellation by Talentedge & the Institute Talentedge & the Institute reserve the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.

Duration12Months

Batch Start - 04 October 2020

Sundays from 10.00 a.m. to 01.15 p.m. IST



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