IIT Bombay - IIT Bombay - Certificate Program in Business Analytics
- Offered byupGrad
- Private Institute
- Estd. 2015
IIT Bombay - Certificate Program in Business Analytics at upGrad Overview
Duration | 30 weeks |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
IIT Bombay - Certificate Program in Business Analytics at upGrad Highlights
- Earn a completion certificate from IIT-Bombay Executive Education
- Experience interactive live online learning through live lectures and real-world projects
- Interact with leading IIT Bombay faculty and industry experts
- Leverage analytics to drive the growth of a company's value chain, marketing/sales, HR processes and more
IIT Bombay - Certificate Program in Business Analytics at upGrad Course details
- Current and Aspiring Business Analytics, Data Analytics or Business Intelligence professionals.
- Business Analytics professionals looking to improve their skillset and accelerate their career.
- Professionals working in marketing, operations, strategy who want to understand ways to leverage data & perform better.
- Entrepreneurs and Business owners who aim to grow their businesses through effective data analytics.
- Business and Functional heads across different verticals.
- Python, SQL
- Tableau
- Neural Networks
- Linear and Non-Linear Regression
- Statistical Inferencing
- Text Mining
- Business Analytics and Data Science can help you operate from a new vantage point. With accessibility and competency to leverage relevant business information from both inside and outside a corporation, helping it to competency in the increasingly competitive marketplace. Explore external data and its sources that, when integrated into business analytics, can help increase efficiencies develop innovative strategies, optimize processes, and more.
- Class Timings: Every Sunday - 9:30 AM to 12:45 PM
IIT Bombay - Certificate Program in Business Analytics at upGrad Curriculum
Python Crash Course
Introduction to the language used for data science, Python. Get introduced to the fundamentals of Python and learn to use the same for data manipulation and visualization.
Introduction to Course
Get an overview of course along with interesting examples in the field of business analytics. Understand the opportunities that exist in the field.
Descriptive Statistics
Understand foundational concepts of descriptive statistics, conditional probability and random variables and their distributions that form the base of advanced techniques.
Prelim Stats Concepts
Understand foundational concepts of descriptive statistics, conditional probability and random variables and their distributions that form the base of advanced techniques.
Exploratory Data Analysis
Learn how to find and analyse the patterns in the data to draw actionable insights.
Statistical Inferencing
Build a strong statistical foundation and learn how to 'infer' insights for a huge population using a small sample.
Anova and Sampling
Understand how to formulate and validate hypotheses for a population to solve real-life business problems.
Linear and Nonlinear Regression
Venture into the world of predictive analytics by learning how one variable can be predicted using several other variables
Logistic Regression
Learn your first binary classification technique by determining which customers of a telecom operator are likely to churn versus who are not to help the business retain customers.
Tree Models
Learn how the human decision making process can be replicated using a decision tree and other powerful ensemble algorithms.
Time Series
In this module, you will learn how to analyse and forecast a series that varies with time.
PCA
Understand important concepts related to dimensionality reduction, the basic idea and the learning algorithm of PCA, and its practical applications on supervised and unsupervised problems.
K-Means, K-NN
Learn how to group elements into different clusters when you don't have any predefined labels to segregate them through K-means clustering, hierarchical clustering, and more.
Neural Networks
Learn the most sophisticated and cutting-edge technique in machine learning - Artificial Neural Networks or ANNs
Text Mining
Learn how to work with text data to clean them, extract them and transform them into usable features to be used in your analytical techniques.
Optimization
Learn about the fundamentals of linear and non-linear optimisation to reach optimal solution under various decision constraints.
Simulation
Learn about simulation to understand decision making under uncertainty.
Applications I: Business problem solving, big data, marketing analytics
Learn how to approach open ended real world problems using data as a lever to draw actionable insights and understand it's applications in various functions.
Applications II: Operational analytics, financial analytics, HR analytics
Learn how to approach open ended real world problems using data as a lever to draw actionable insights and understand it's applications in various functions.
Project (Forum for participants to talk of their problems)
Identify a business problem in your area of work and formulate it into a business analytics problem and approach to solve it.
IIT Bombay - Certificate Program in Business Analytics at upGrad Entry Requirements
- Education: Graduates or Diploma Holders from a recognized university
- Prerequisite: Basic programming concepts such as data types, functions, loops in any language (preferably python) & Understanding of basic statistical concepts
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