Certification in Data Science and Machine Learning by CCE IIT Mandi
The Certification in Data Science and Machine Learning is a comprehensive course designed to equip students and professionals with the necessary skills and knowledge in the field of Data Science and Machine Learning.
The program aims to provide a solid foundation in Data Science, Data Analytics, Machine Learning, Deep Learning principles, tools and applications. The Course is suitable for individuals who are interested in starting a career in data science or machine learning, as well as professionals who want to enhance their existing skills in these areas.
About Program
In industry there is an escalating demand for trained professionals who can collect, process, and study the large data sets and reveal underlying trends and other insights. Consequently, the study of data science as a discipline has become essential to cater the growing need for professionals and researchers to deal with the future challenges. Software and tools used in this program includes Microsoft Excel, PowerBi, Tableau, Python etc. Our preparatory module in mathematics and statistics allows novices to build a strong foundation and easily adapt to the program
Key Features
- 250 Hrs of live sessions from IIT Mandi Faculty
- 100+ Hrs of Lab sessions
- Mentoring session from Industry Experts
- Multiple case studies and projects
- One Week Immersion training at IIT Mandi Campus*
*This is at an additional cost
- 3 Guaranteed Interviews from Rooman and NSDC
- Recorded session of Live Classes available on LMS
- Course Completion Certificate from CCE IIT Mandi and NSDC
- EMI Options available
Eligibility Criteria
STEM graduates & Final Semester Students eager to start a career in Data Science/ Machine Learning.
Technology
Tools you learn at CCE IIT Mandi
Career Growth
- Business Analyst
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Business Intelligence Developer
- Big Data Analyst
About CCE IIT Mandi
IIT Mandi nurtures an interdisciplinary research environment that develops innovative technologies for widespread use. Driven by the need of the region and the nation, the thrust areas have been identified and organized. IIT Mandi has been ranked 20th among engineering colleges in India by the National Institutional Ranking Framework in 2022. It is ranked 12th among 23 IITs according to NIRF 2022.
Certification
Upon Completion of this course, you will:
- Receive an Certification in Data Science and Machine Learning from CCE IIT Mandi and NSDC.
- Job assistance through Rooman
Meet Our Faculties
Meet Our Faculties
Prof. Manoj Thakur
School of Management and School of Mathematical & Statistical Sciences IIT Mandi
Dr. Manoj Thakur is a highly accomplished and respected individual in the field of Computer Science and Engineering. He currently serves as an Assistant Professor at the Indian Institute of Technology (IIT) Mandi. With his extensive knowledge and expertise, Dr. Thakur contributes significantly to research, teaching, and academic leadership.
Prof. Aditya Nigam
School of Computing and Electrical Engineering IIT Mandi
Aditya Nigam is an Assistant Professor at the School of Computer Science and Electrical Engineering (SCEE), Indian Institute of Technology Mandi. He obtained his Masters (M.Tech) and Doctoral (Ph.D) degrees from the Indian Institute of Technology Kanpur in 2009 and 2014 respectively.
Prof. Tushar Jain
School of Computing and Electrical Engineering
Professor Tushar Jain is a distinguished academic and researcher currently associated with the Indian Institute of Technology (IIT) Mandi. He has made significant contributions in the field of computer science and engineering, particularly in the areas of network security, privacy, and applied cryptography.
Course Curriculum
- Excel
- Tableau
- SQL
- MongoDB
- Case Studies
- Basic Data Structure
- Loops and Conditions
- Functions
- File Handling
- Numpy
- Pandas
- Objected Oriented Programming
- Charting and data visualization
- Case Studies
- Probability
- Basic Statistics
- Random Variables
- Probability Distributions and Properties
- Hypothesis Testing
- Regression Analysis
- Case Studies
- Matrices
- Linear Transformation
- Eigen Values & Eigen Vectors
- Matrix Decomposition
- Calculus
- Optimization
- Case Studies
- Data sources and collection
- Descriptive data summarization
- Data cleaning
- Data Cleaning and Data Wrangling
- Normalization, data integration and transformation, data reduction.
- Spatial data representation and Applications
- Visualization of high dimensional data
- Case Studies
- Introduction to Machine Learning and Applications
- Types of Machine Learning
- Machine Learning: A statistical view
- Linear Regression and Application
- Logistic Regression
- Clustering Techniques
- Decision Tree
- Random Forest
- SVM
- Dimensional Reduction
- Time Series
- Ensembling (Bagging, Boosting, Blending)
- Case Studies
- Introduction to Neural Networks
- Fully Connected Networks
- CNN
- RNN/LSTM
- Object Detection
- Language Translations and Transformers
- Case Studies
- Docker
- Kubernetes
- Github
- AWS Sagemaker
- PySpark
- Flask
- Linux
- Case Studies
- AI Chatbot
- Computer Vision based Attendance System
- Time Series Project based on SARIMA
- Calculus
- Vector space
- Eigenvalues and eigenvectors,
- Introduction to optimization
- Convex sets & functions & properties
- Lagrange’s multiplier method
- Basic Numerical Optimization.
- Basics of Python
- Functions
- List , maps,Dictionary
- Files
- Strings
- Numpy
- Pandas
- Scipy
- Probability:
- Random variables:
- Standard deviation
- Covariance
- Correlation
- Statistics
- Data collection process
- Data preprocessing
- Supervised learning with applications
in classification problems - Supervised learning – regression
- Unsupervised learning algorithms –
Clustering
- Data Analytics
- SQL
- MongoDB
- Tabeleau
- PowerBl
- MS Excel
Projects
Projects will be a part of your Advanced Certification in Data Science & Machine Intelligence to consolidate your learning. It will ensure that you have real-world hands-on experience.
Project Preparing Power BI Dashboard
Power BI, a business intelligence and data visualisation application, allows you to use data from variety of sources to generate dynamic dashboards and analytical reports.
R - Shiny based app on Decision Tree
Shiny is a R package that enables the development of interactive web applications that may execute R code in the background.
EDA and Data Preprocessing Using Python
Exploratory data analysis (EDA) is a strategy or philosophy that uses a number of approaches (mainly graphical) to analyze data.
Project on Regression Using Cross Validation
In this Project you will be able to implement an end to end Pipeline including Data Cleaning, Preprocessing, Scaling, Transformation, feature engineering and from thereon you are going to feed the trasformed or engineered data in the machine learning models for regression.
Project on Classificaiton using Ensembling
When a category is the output variable, It is a classification algorith which can solve it. Thus a classification model tries to infer some meaning from the values that were seen. A categorization model will attempt to forecast the value of one or more outputs given one or more inputs.
Project on Ensembling with Stacking
The two most well-known ensemble modelling techniques are bagging and boosting. Bagging enables the averaging of several comparable models with significant volatility in order to reduce variance whereas Boosting creates several incremental models in order to reduce bias while minimizing variation.
Time Series Project based on SARIMA
A time series is a collection of images taken over a period of time at equidistant intervals. Signal processing, pattern identification, econometrics, mathematical finance, weather forecasting, earthquake prediction, and other fields all employ time series.
Computer Vision based Project
Methods for capturing, processing, analysing, and comprehending digital pictures, as well as methods for extracting high-dimensional data from the actual world in order to create numerical or symbolic information in order to make right judgments, are all included in computer vision tasks.
ChatBot using Natural Langauge Processing
NLP, or natural language processing, enables computers to comprehend human language. Behind the scenes, NLP examines phrase structure and word meaning individually, then employs algorithms to extract meaning and provide results.
Placement Assistance
All eligible candidates will receive placement assistance after program completion
Access to Opportunities with Leading Companies
Workshops on Resume Review and Interview Preparation
Career Guidance and Mentorship by Industry Experts from Rooman and NSDC
Program Fee
Starting at Only ₹ 7,357/Month
- Total Admission Fees INR 75,000/- +GST
- Pay an EMI for a period of 12 months
Program Fee
INR 75,000/- + GST
Installment Options:
Full Payment (Inclusive of GST)
₹ 70,800/-
- Within Five days of completing the admission process
2 Installments (Inclusive of GST)
₹ 35,900/-
- 1st Installment- Within Five days of completing the admission process
- 2nd Installment- Within Thirty days from the payment of first installment
3 Installments (Inclusive of GST)
₹ 24,600/-
- 1st Installment- Within Five days of completing the admission process
- 2nd Installment- Within Thirty days from the payment of first installment
- 3rd Installment- Within Thirty days from the payment of Second installment
EMI Options:
₹ 7,357/Month
Frequently Asked Questions
Yes. You will get assured 3 interviews after the course completion. Our team will prepare you for the interview by conducting several mock interviews, assisting in resume building and more to crack the interviews with ease.
A computer system equipped with a web camera, microphone, and internet connection (minimum speed 1 Mbps) are the basic technical componential requirements for pursuing the course.
You may communicate with our mentors who are available during the session and the same doubts will be taken up by the IIT Mandi faculty during the session
Student Testimonial
The Advantage of 3
- Upskilling from IIT Professor’s
- Skill Loan
- Assessment
- Joint Certification
- Internships
- Placements
- Mentorship from Industry Experts
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