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Apply Before

21/10/2020

Batch - Feb 2021

75,000.00 Enrol Now

Duration 5

Months

Start - 28th Feb 21
Sundays from 02.00 p.m. to 05.15 p.m. IST (3 Hours)

“Machine Learning is the new SQL for Big Data"

Machine Learning is no longer just a niche subfield of computer science, but every business has now begun to leverage its capabilities for its benefit. Machine learning algorithms power Flipkart and Amazon product recommendations, ride fares at Uber, fraud detection at banks and financial institutions, content that we see on social media feeds or Google News, and much more. Machine learning products are being used daily by us, perhaps without even realizing it. The future of machine learning is already here, and its algorithms are being used everywhere, from email to mobile apps to marketing campaigns. All this makes it extremely crucial for Managers and Leaders to understand its usage and significance in the 21st century.

 

Hence, the Executive Certificate Program in Machine Learning for Managers specifically aims:

  • To investigate problems and recommend solutions to typical issues faced in Operations and Supply Chain Management
  • To express data set in visual form and interpret in business contexts
  • To understand the critical roles of machine learning in today’s business context
  • To learn various supervised and unsupervised learning methods in the context of typical business problems
  • To enable participants to have a good understanding of past data and select potential analytics and machine learning techniques to have a superior understanding of the past and more accurately predict the future
  • To gain hands-on experience with R, Python, and Spreadsheet Solver

Certificate of Completion from IIM Raipur

On successful completion, you will receive a certificate of completion from IIM Raipur

Practical Approach towards Learning

Knowledge imparted through hands-on exercises, discussions and case analysis to develop practical skills that can be applied to real-life scenarios

Gain in-depth Understanding of Analytics and ML Techniques and Algorithms

Learn not only theoretical underpinnings of analytics and machine learnings techniques but also gain the know-how needed to quickly understand new problems and apply techniques to solve those problems

Make Data Driven Decisions

Enhance your professional effectiveness and performance by applying data driven decisions

Duration 5

Months

Start - 28th Feb 21
Sundays from 02.00 p.m. to 05.15 p.m. IST (3 Hours)

75,000.00 Enrol Now

Who should attend

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
Work Experience
  • Professionals with a minimum of 2 years of work experience

 

Faculty

Prof. Sumeet Gupta

Professor
Ph.D. (School of Computing, National University of Singapore, Singapore), MBA (NUS Business School, National University of Singapore, Singapore)

Area: IT & Systems

Prof. Sumeet Gupta is affiliated as Professor in the Dept. of Information Technology and Systems at IIM Raipur. He received PhD (Information systems) as well as MBA from National University of Singapore and BE (Mining) from GEC Raipur. He has a total of 16 years of work experience in Industry, Teaching and Research, during which he worked with L&T India, The Logistics Institute-Asia Pacific, Singapore and SSGI Bhilai before joining IIM Raipur. He participated in Global Colloquium at Harvard Business School in 2015. He has held visiting faculty assignments with IIIT Naya Raipur as well as Huazhong University of Science and Technology, Wuhan, China. He has been accredited by AIMA as an Accredited Management Teacher and was awarded Prof. Manubhai M Shah Memorial Award by Indian Commerce Association for the year 2017. He was also awarded President Graduate Fellowship at National University of Singapore. He has published more than 50 papers in top-ranked International Journals (DSS, Omega, P&M, I&M, IJIM, EJOR etc.) and more than 30 papers in International Conferences (ICIS, ECIS, PACIS, AMCIS, AOM, POMS etc.) and his publications count exceed 100. He has also edited two books in the area of Humanitarian Logistics and Supply Chain. His research interests include Electronic Governance, E-Commerce and Business Analytics. He has conducted several consultancy projects with both Private and Govt. bodies in India and abroad and has conducted many training programs.

Prof. Mohit Goswami

Assistant Professor
Ph.D. from Dept. of Industrial and Systems Engineering (IIT, Kharagpur), Master of Science in Engineering Management (Missouri University of Science and Technology, Rolla, Missouri, USA)

Area – Operations and Quantitative Methods

Prof. Mohit Goswami is a unique amalgam of academics and industry. Prof. Goswami prior to joining academia was associated with global fortune 500 manufacturers/groups including Caterpillar Inc. (Decatur, Illinois, USA), Tata Motors Ltd. (Pune and Jamshedpur) and Tata Hitachi Construction Machinery Co. Ltd. (Jamshedpur) in various engineering and technology management roles. At IIM Raipur, he teaches courses both at MBA and PhD programs. His research interests include new product development, supply chain design, product line management, risk modeling in supply chain. His research has been published in reputed journals as International Journal of Production Research, Journal of Intelligent Manufacturing, International Journal of Advanced Manufacturing Technology. He is one of the select few individuals whose PhD at IIT Kharagpur got awarded in around 2 years 6 months’ time. At IIM Raipur, he heads the online executive education as well as working executive MBA program.

Prof. Gopal Kumar

Assistant Professor
Ph.D. (IIT Kharagpur), M.Tech. (IIT Kharagpur)

Area: Operations & Quant. Methods

Gopal Kumar is Assistant Professor of Operations Management at the IIM Raipur. He received his PhD in supply chain collaboration from the IIT Kharagpur. He carried postdoctoral research at Dublin City University (DCU), Ireland where he worked on facilitating easy access of advanced predictive modelling for improving productivity of SMEs in Europe in collaboration with various European SMEs—Ceramicx Ireland, Vistakon, ICMR—and University of Edinburgh, UK. He also has experience in ERP development. Based on open source philosophy, he developed a commercial tool, for European Union, which largely streamlined the expertise and time required for predictive modelling along with process optimization. His research articles are published in various prestigious peer reviewed journals. He presented his research work at several globally recognized Operations and Supply Chain Management forum. His primary research interests include supply chain collaboration, sustainable and green supply chain collaboration, sourcing, product-service system, big data analytics, business process automation, and information technology application in improving and optimizing operations of SMEs.

Certification

On the payment of all due fees and the successful completion of the course, participants will be awarded a Certificate in Machine Learning by IIM Raipur.

Talentedge Way

  • 95 %
    Completion Rate
  • 93 %
    Satisfaction Score
  • 70 %
    Referability
  • Weekend schedule

    Scheduled classes at convenient timings for working professionals

  • Case study learning

    Hands-on learning using case studies, projects and simulations

  • Alumni Network

    Be a part of rich Alumni Network

  • Dedicated Student support

    Student relationship managers for dedicated support for all requirements of the students

  • Live tech support

    In session tech support on chat and call for immediate support

  • Classroom Based Learning

    Sessions with peers & faculty for in-depth learning against isolated learning of recorded sessions

Duration 5

Months

Start - 28th Feb 21
Sundays from 02.00 p.m. to 05.15 p.m. IST (3 Hours)

Pedagogy

The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to student desktops/laptops or classrooms. To meet the desired objectives of the course, the pedagogical methods will include, but not limited to, live discussions on the online platform, problem solving, case analysis etc. All enrolled students will also be provided access to our SLIQ Cloud Campus through which students 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.

 

Assessments

Evaluation methodology is the discretion of the faculty. A minimum of 70% attendance to LIVE sessions is a prerequisite for the successful completion of this program. The program 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 program to actual real time scenarios. Assessment and evaluation will be done based on Quizzes with a 70% weightage and Assignment and presentation with 30% weightage.

Participants who successfully complete the same 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

IIM Raipur

Indian Institute of Management (IIM) Raipur was set up by the Government of India, Ministry of Human Resource Development in 2010 at Raipur, the capital of Chhattisgarh.

Ranked 19th amongst B-Schools in India by Govt of India MHRD-NIRF Rankings 2019, IIM Raipur offers flagship 2 years full-time Post-Graduate Program in Management (MBA) as well as the Post Graduate Program in Management for Working Executives (PGPMWE). IIM Raipur believes in preparing ethical leaders who are not only committed to business, commerce and industry but are also socially conscious towards their contribution in nation-building and bring in name for the country globally. IIM Raipur is also committed to excellence in research and has a strong doctoral (Ph.D.) program along with a supportive ecosystem promoting research within the faculty fraternity.

IIM Raipur has strong international collaborations for student exchange programs with prominent universities and institutes in 13 countries across the globe including Australia, Chile, Germany, France, Greece, South Korea, Mexico, New Zealand, Austria, Peru, Russia, Slovakia and Thailand.

IIM Raipur Online also offers consulting services to design and implement policies, systems and processes in functional and cross-functional areas of business. Besides, regular in-campus and in-company training programs are conducted by IIM Raipur faculty members for supporting industry requirements.

IIM Raipur started functioning out of its sprawling new campus in Atal Nagar, Raipur from 2018. The new campus spread over 200 acres is a state-of-the-art campus offering a blend of modern architecture, culture and heritage of Chhattisgarh.

  • 0
    Ranked 19th by MHRD-NIRF 2019
  • 0
    100% Placements

Syllabus

1.1 Data Science using Excel and SPSS

a. Basic Statistics

b. Describing Data

c. Inferential Statistics

d. Hypothesis Testing

e. Testing of Relationships

 1.2 Linear and Multiple Regression using R

a. Linear Regression

b. Multi-Linear and Non-linear Regression

c. Logistic Regression

d. Neural Networks

1.3 Data Visualisation using R and descriptive analysis

a. Normal Visualization

b. Business Intelligence

c. Creating Interactive Visualizations

d. Clustering and association

1.4 Time Series Analysis and Forecasting using R

a. Using Regression

b. Using smoothing techniques

1.5 Decision Modeling under Uncertainty

a. Decision Making Rules

b. Decision Tree

 

2.1 Stochastic and Markovian processes

a. Markov and stochastic classification

b. Markov chain

c. Decisioning making under Markovian

2.2 Python and Machine Learning

a. Introduction to Python

b. Handling data using basic python datatype

c. Reading datafiles and using Matplotlib

d. Python packages for ML

e. Advantages of Python in ML

2.3 Introduction to Machine Learning

a. Supervised, unsupervised, and reinforcement learning

2.4 Classification Modeling

a. Naïve Bayes

b. K-Nearest Neighbors

c. Decision Trees

d. Logistic Regression

e. Support Vector Machine

f.  Neural Networks (Deep Learning)

g. Classification accuracy metrics

2.5 Ensembling and Unsupervised Learning

a. Bagging and Boosting

b. Random Forest

Fee Schedule

For Indian Residents

Rs. 75,000+ GST*

Payment Deadline: 21/10/2020
For International Students

USD: 1700

Payment Deadline: 21/10/2020
Instalment Schedule
1st Instalment 2nd Instalment 3rd Instalment
1st Instalment
Rs. 30,000 +
GST*
USD 700
Payment Deadline: 21/10/2020
xxx30000
2nd Instalment
Rs. 15,000 +
GST*
USD 300
Payment Deadline: 24/02/2021
xxx27000
3rd Instalment
Rs. 30,000 +
GST*
USD 700
Payment Deadline: 05/06/2021
xxx25000
Effective 01 July 2017, the prevailing Service Tax will be replaced by GST at an effective rate of 18%

All applications for this course must be made through an Online Application Form.

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 favouring “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 Relationship Manager,
TALENTEDGE,
21, Institutional Area, Sector 32,
Gurgaon 122003, 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 Rs.1000+GST will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
  • A Late fee of Rs.2500 + GST will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
  • If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Re-joining Fee of Rs.5000 + GST will be charged to the Participant. If the Participant wishes to continue with and complete the program then re-joining can be accommodated as per course guidelines.

 

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 the closure of registration or 21 days before the date of course commencement whichever is earlier.
  • Even if such valid requests for refund of fees are received, the application money shall be refunded after deducting a penalty of Rs.5000 and applicable taxes for Indian participants & USD 125 for foreign participants.
  • In all other cases, no refund shall be made.
  • A participant may opt for rescheduling to a later batch of the same program / another program prior to the commencement of the program. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the course. The amounts paid by the participant shall be considered as advance payment towards the next batch/alternative program. Further, the participant shall have to pay an administrative charge of Rs.5000 plus applicable taxes (Indian participants) or USD 125 (foreign participants) for facilitating such rescheduling.

Cancellation by Talentedge & 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.

 

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