

IIM Kashipur - Executive Development Program in Business Analytics and Big Data
- Offered byNulearn
Executive Development Program in Business Analytics and Big Data at Nulearn Overview
Duration | 6 months |
Total fee | ₹80,000 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Executive Development Program in Business Analytics and Big Data at Nulearn Highlights
- Earn a certificate after completion of course from IIM Kashipur
- Fees can be paid in installments
- Hands on exposure on tools
- Campus visit at the end of course
Executive Development Program in Business Analytics and Big Data at Nulearn Course details
Professionals who are looking to upgrade their career in Analytics
Entrepreneurs/Business Analyst/Project Managers
Senior Managers/Managers/Team Members who are involved in analytics
Understand the role of business analytics in organizations
Learn about setting up a big data stack in a single node machine and Amazon AWS, Understand Hadoop, Hive and Impala
Use Python software to implement supervised, unsupervised machine learning techniques for business analytics
This program will help the participants to apply the concepts of business analytics, statistical and machine learning applications, and big data technologies to varied aspects of managerial decision making
Participants will be exposed to the use of analytic technologies to make data-driven decisions
Participants will learn to apply Python and open-source tools for applications such as predictive analytics, sentiment analytics, and market segmentation among others
Participants will also learn to apply best practices in machine learning for business analytics
The program will benefit participants interested in a career in business analytics and consulting
Executive Development Program in Business Analytics and Big Data at Nulearn Curriculum
Introduction to Business Analytics
Descriptive, Inferential, Predictive Analytics, and Prescriptive Analytics
Machine Learning for Business Analytics
Introduction to Python
How to install and run Python
Operators and Expressions
Decision Statements
Loop Control Statements
Functions & Python Packages
Working with Files
Object Oriented Concepts
Descriptive and Visual Exploratory Analytics
Descriptive Statistics
Visual Exploratory Analytics
Foundations of Inferential Analytics
Inferential Statistics and Hypothesis Testing
Business Context: Prediction, Machine Learning Context: Regression
Simple and Multiple Linear Regression
Regularized Regression
Model Diagnostics
Business Context: Classification, Machine Learning Context: Classification
Classification Basics
Logistic regression, Discriminant Analysis, Decision Trees, SVM
Confusion Matrix and Cost Benefit Analysis
Validation Methods – k-fold techniques
Business Context: Advanced Machine Learning Methods, Machine Learning Context: Advanced Machine Learning Methods
Ensemble Methods - Boosting and Bagging
Business Context: Segmentation Machine Learning Context: Clustering
Clustering Basics
k-means, hierarchical and dbscan clustering
Clustering diagnostics
Business Context: Unstructured Data Analysis, Machine Learning Context: Text Analytics
Introduction to Text Analytics
Terminologies and Concepts
Text Analytics Process
NLTK & Sklearn
Business Context: Understanding User Behavior, Machine Learning Context: Text Analytics
Sentiment Analysis
Topic Modeling
Other Text Analytics applications
Business Context: Handling Big, Data Analytics Context: Technologies for Big Data
Big Data Characteristics
Basics of Distributed Computing and Storage
Big Data Ecosystem
Business Context: Data Management, Analytics Context: Core Technologies for Big Data
Setting up a pseudo cluster in Laptop
Hadoop, MapReduce
Hive (Processing Structured data with data warehouse infrastructure)
Impala (used for Massive Parallel Processing of Big Data in a Cluster)
Pig Scripting
Querying exercises
Business Context: Big Data and Cloud, Analytics Context: AWS and Analytics
Setting up a multinode cluster in AWS
Business Context: Personalization & Decision-making, Machine Learning Context: Recommender System
Introduction to Recommender Systems
Collaborative Filtering
Content based Recommendations
Business Context: Market Basket Analysis, Machine Learning Context: Association Rule Mining
Frequent Itemset
Association Rules
Capstone Project Presentations