Executive Certificate Program In Machine Learning For Managers

IT & Technology , Machine Learning , Big Data Analytics

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Participation-Certificate
  • 17-24 LPA

    Average salary in this domain

  • 60000+

    Jobs open every year in this domain

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About this course

“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

Read Less

“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 in... Read More

Get a deeper understanding of

  • Analytics and ML Techniques and Algorithms
  • R, Python, and Spreadsheet Solver
  • Time Series Analysis and Forecasting using R
  • Past data
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Key skills you’ll learn

  • Data Visualization & Forecasting
  • Time series analysis
  • Decision Modeling
  • Statistics

Program Starts Soon

Benefits for All Students

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

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

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

Be a part of rich Alumni Network

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

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

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

Be a part of rich Alumni Network

Are You Eligible?

Are You Eligible

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
  • Professionals with a minimum of 2 years of work experience

Syllabus at a Glance

  •  Data Science using Excel and SPSS
  1. Basic Statistics
  2. Describing Data
  3. Inferential Statistics
  4. Hypothesis Testing
  5. Testing of Relationships
  • Linear and Multiple Regression using R
  1. Linear Regression
  2. Multi-Linear and Non-linear Regression
  3. Logistic Regression
  4. Neural Networks
  • Data Visualisation using R and descriptive analysis
  1. Normal Visualization
  2. Business Intelligence
  3. Creating Interactive Visualizations
  4. Clustering and association
  • Time Series Analysis and Forecasting using R
  1. Using Regression
  2. Using smoothing techniques
  • Decision Modeling under Uncertainty
  1. Decision Making Rules
  2. Decision Tree
  • Stochastic and Markovian processes
  1. Markov and stochastic classification
  2. Markov chain
  3. Decisioning making under Markovian
  • Python and Machine Learning
  1. Introduction to Python
  2. Handling data using basic python datatype
  3. Reading datafiles and using Matplotlib
  4. Python packages for ML
  5. Advantages of Python in ML
  • Introduction to Machine Learning
  1. Supervised, unsupervised, and reinforcement learning
  • Classification Modeling
  1. Naïve Bayes
  2. K-Nearest Neighbors
  3. Decision Trees
  4. Logistic Regression
  5. Support Vector Machine
  6. Neural Networks (Deep Learning)
  7. Classification accuracy metrics
  • Ensembling and Unsupervised Learning
  1. Bagging and Boosting
  2. Random Forest

  •  Data Science using Excel and SPSS
  1. Basic Statistics
  2. Describing Data
  3. Inferential Statistics
  4. Hypothesis Testing
  5. Testing of Relationships
  • Linear and Multiple Regression using R
  1. Linear Regression
  2. Multi-Linear and Non-linear Regression
  3. Logistic Regression
  4. Neural Networks
  • Data Visualisation using R and descriptive analysis
  1. Normal Visualization
  2. Business Intelligence
  3. Creating Interactive Visualizations
  4. Clustering and association
  • Time Series Analysis and Forecasting using R
  1. Using Regression
  2. Using smoothing techniques
  • Decision Modeling under Uncertainty
  1. Decision Making Rules
  2. Decision Tree

  • Stochastic and Markovian processes
  1. Markov and stochastic classification
  2. Markov chain
  3. Decisioning making under Markovian
  • Python and Machine Learning
  1. Introduction to Python
  2. Handling data using basic python datatype
  3. Reading datafiles and using Matplotlib
  4. Python packages for ML
  5. Advantages of Python in ML
  • Introduction to Machine Learning
  1. Supervised, unsupervised, and reinforcement learning
  • Classification Modeling
  1. Naïve Bayes
  2. K-Nearest Neighbors
  3. Decision Trees
  4. Logistic Regression
  5. Support Vector Machine
  6. Neural Networks (Deep Learning)
  7. Classification accuracy metrics
  • Ensembling and Unsupervised Learning
  1. Bagging and Boosting
  2. Random Forest

Learn from the Best Faculty

About The 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.

Fee Structure for

Instalment Schedule

Installement 1
INR 30000 + GST Due by: 18 Feb, 2021
Installement 1
USD 700 Due by: 18, Feb, 2021
Installement 2
INR 15000 + GST Due by: 24 Jun, 2021
Installement 2
USD 300 Due by: 24, Jun, 2021
Installement 3
INR 30000 + GST Due by: 05 Sep, 2021
Installement 3
USD 700 Due by: 05, Sep, 2021
OR
Pay for Total Amount
INR 75000 + GST Due by: 18, Feb, 2021
Pay for Total Amount
USD 1700 Due by: 18, Feb, 2021

Financial Aid

To learn more about financing your course, visit the course Financial Resources Hub

Why Should You Join a Program Offered Through Talentedge?

  • 95% Completition Rate
  • 92% Satisfaction Score
  • 78% Referablity
  • Live & Interactive Digital Learning
  • Convenient Schedules to Suit Working Professionals
  • Benefit from Talentedge’s Alumni Network
  • One on one interactions
  • Mobile platform enabled
  • Options for Loan Assistance
  • Live tech support
  • Practical/Hands-On Experiential Learning

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