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Course PreviewLearning Format
Online Bootcamp
Live Classes
11 Months
iHub IIT Roorkee
Certification
Campus Immersion
iHUB, IIT Roorkee
EMI Starts
at ₹5500/month*
This program by iHub Divya Sampark, IIT Roorkee helps you gain the data analytics, machine learning, and artificial intelligence skills sought after by top employers.
About iHub Divya Sampark
iHUB DivyaSampark at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), focuses on fostering innovation in advanced technologies such as AI, ML, and more. The hub plays a pivotal role in technology development, incubation, and startups, particularly in areas like Healthcare,Read More..
Upon the completion of this program, you will:
Benefits for students from Microsoft:
Program in Collaboration with Microsoft
Benefits for students from Microsoft:
55% Average Salary Hike
45 LPA Highest Salary
800+ Career Transitions
300+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Use data analysis and data processing to understand business challenges and offer the best solutions to the organization.
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Create blueprints for managing data so as to facilitate easy integration, centralization, and protection of the database, along with due security precautions.
Build a cross-brand and robust strategy of data acquisition and analytics, along with designing raw data transformation for analytical applications.
Design and build machine learning models to derive intelligence for the numerous services and products offered by the organization.
With the help of several machine learning tools and technologies, build statistical models with huge chunks of business data.
Skills to Master
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
Power BI
Advanced Statistics
Data Mining
R Programming
Tools to Master
Case Study
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Excel Fundamentals
Excel For Data Analytics
Data Visualization with Excel
Ensuring Data and File Security
Getting started with Macros
Statistics with Excel
Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, etc.
Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Data Manipulation with Numpy, Pandas, and Visualization – Using large datasets, you will learn about various techniques and processes that will convert raw unstructured data into actionable insights for further computations i.e. machine learning models, etc.
Case Study – The culmination of all the above concepts with real-world problem statements for better understanding.
Statistics and Descriptive Analytics using MS Excel
Python for Descriptive, Diagnostic, and Inferential Statistics
Prescriptive Analytics
Introduction to Machine learning
Regression
Classification
Clustering
Supervised Learning
Unsupervised Learning
Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather insights – Learn about the exploratory data analysis and how it enables a fool proof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
KNIME
Feature Selection – Feature selection techniques in python that includes recursive feature elimination, Recursive feature elimination using cross validation, variance threshold, etc.
Feature Engineering – Feature engineering techniques that help in reducing the best features to use for data modeling.
Model Tuning – Optimization techniques like hyperparameter tuning to increase the efficiency of the machine learning models.
Power BI Basics
DAX
Data Visualization with Analytics
Case Study:
This case study will cover the following concepts:
Problem Statement and Project Objectives – You will learn how to formulate various problem statements and understand the business objective of any problem statement that comes as a requirement.
Approach for the Solution – Creating various statistical insights based solutions to approach the problem will guide your learnings to finish a project from scratch.
Optimum Solutions – Formulating actionable insights backed by statistical evidence will help you find the most effective solution for your problem statements.
Evaluation Metrics – You will be able to apply various evaluation metrics to your project/solution. It will validate your approach and point towards shortcomings backed by insights, if any.
Gathering Actionable insights – You will learn about how a problem’s solution isn’t just creating a machine learning model, the insights that were gained from your analysis should be presentable in the form of actionable insights to capitalize on the solutions formulated for the problem statement.
Stock Market Analysis – Using historical stock market data, you will learn about how feature engineering and feature selection can provide you with some really helpful and actionable insights for specific stocks.
Banking Problem – A classification problem that predicts consumer behavior based on various features using machine learning models.
Census – Using predictive modeling techniques on the census data, you will be able to create actionable insights for a given population and create machine learning models that will predict or classify various features like total population, user income, etc.
Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.
Sales Forecasting – By studying the various patterns and sales data for a firm/store, we will use the time series forecasting method to forecast the number of sales for the next given time period(weeks, months, years, etc.)
HR Analytics – Based on the data provided by a firm, we will study the HR analytics data, and create actionable insights using various statistical tests and hypothesis testing.
Customer Segmentation – Using unsupervised learning techniques, we will learn about customer segmentation, which can be quite useful for e-commerce sectors, stores, marketing funnels, etc.
Inventory Management – In this case study, you will learn about how meaningful insights can be used to drive a supply chain, using predictive modeling and clustering techniques.
Disease Prediction – A medical endeavor that is achieved through machine learning will give you an insight into how the predictive model can prove to be a great marvel in early detection of various diseases.
Projects will be a part of your Certification in Data Analytics to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Date | Time | Batch Type | |
---|---|---|---|
Program Induction | 14th Dec 2024 | 08:00 PM - 11:00 PM IST | Weekend (Sat-Sun) |
Regular Classes | 14th Dec 2024 | 10:00 AM - 01:00 PM IST | Weekend (Sat-Sun) |
Others Cohorts
Date | Time | Batch Type | |
---|---|---|---|
Program Induction | 10th Dec 2024 | 07:00 AM - 09:00 AM IST | Weekday (Tue-Fri) |
After completing the Executive Post Graduate Certification Data Analytics course and completing the various projects in this program, you will receive a joint certificate from Intellipaat and iHUB DivyaSampark.
Intellipaat offers career services that include 3 guaranteed interviews for all learners enrolled in this course upon movement to the placement pool. Learners will be moved to the placement pool once they clear the PRT (Placement Readiness Test).
The Executive Post Graduate Certification Data Analytics course is delivered by leading experts from iHUB DivyaSampark and Intellipaat. They will help you gain in-depth knowledge in data analytics, apart from giving you hands-on experience in these fields through real-time projects. The top 2 performers will be given a monthly stipend, and you will also get a chance to be incubated and funded by iHub Divya Sampark.
Upon completion of the course and successful completion of assignments and projects, you will receive advanced certification in data analytics from Intellipaat and iHUB DivyaSampark, recognized by top organizations around the world. In addition, our job assistance team will prepare you for your interview by conducting multiple mock interviews, preparing your resume, and more.
From each batch, 2 candidates will get the opportunity to be shortlisted to receive a scholarship of Rs. 80,000. Candidates will have to meet certain performance criteria to get selected. The selection of candidates who receive the scholarship will be at the discretion of the iHub Divya Sampark team. All the students will be informed about the performance criteria during the tenure of the program.
All candidates who apply for this course will be eligible to receive funding and incubation support from iHub Divya Sampark. Candidates who enroll will get the chance to pitch their ideas to the iHub Divya Sampark team. Ideas that get shortlisted may receive funding up to Rs. 50 Lakhs and incubation support.
If you are unable to attend one of the live lectures, you will receive a copy of the recorded session within the next 12 hours. If you have any further questions beyond that, you can contact our course advisors or ask them in our community.
To be included in the placement pool, the learner must complete the course and submit all projects and assignments. He/she must then pass the PRT (Placement Readiness Test) to be accepted into the placement pool and gain access to our job portal and career mentoring sessions.
You will undergo the following sessions:
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
The total duration of the program is 11 months and out of which 2 months will be for project work.
What is included in this course?