DATA SCIENCE PRODEGREE IN MUMBAI
➤In collaboration with Genpact, a Global Leader in Analytics
➤180 Hours of Learning delivered in Classroom and Online format
➤Hands-on learning with 6 industry projects
➤Global leader in Digitally-Powered Business Process Management and Services
➤Available in both, Classroom and Online Delivery Modes
Learn More About The Program
Online Instructor-Led Training
Online Self Paced Videos
Cutting-edge program designed and delivered in collaboration with Genpact, a global leader in Analytics solutions
Master Data Science using leading tools such as SAS, R, Python and Tableau
Hands-on learning through 6 industry projects, across multiple tools and industries
Extensive support via resume building, interview prep, mentorship and interview opportunities
All about Data Science
- Data, Data Types
- Meaning of Variables
- Central Tendency
- Measures of Dispersion
- Data Distribution
- Decision Trees
- Neural Networks
- Predictive Modeling with Decision Trees
- Back Propagation
- Revision of Key Concepts
ANOVA/ Regression Analysis
- Analysis of Variance & Covariance
- Analysis of Variance
- ANOVA Results
- Examine Regression Results
- Regression Analysis
- Linear and Logistic Regression
Tree and Bayesian Network Models
- Decision Trees
- Random Forests
- Boosted Trees
- Bayesian Classification Models
- R Base Software
- Understanding CRAN
- RStudio The IDE
- Sequence of Numbers
- Basic Operations
- Operators and Types
- R Functions
Logistic Regression in R
- Reason for Logistic Regression
- The Logistic Transform
- Logistic Regression Modelling
- Model Optimisation
- Understanding ROC Curve
- Default Modelling using Logistic Regression in R
- Theory of Entropy & Information Gain
- Stopping Rules
- Cross Validations for Overfitting Problem
- Pruning as a Solution for Overfitting
- Ensemble Learning
- Bootstrap Aggregation
- Random Forests
- Intrusion Detection in IT Network
Linear Regression in R
- Covariance and Correlation
- Multivariate Analysis
- Hypothesis Testing
- Limitations of Regression
- Business Case: Managing Credit Risk
- Loss Given Default using Linear Regression
Support Vector Machine
- Classification as a Hyper Plane Location Problem
- Motivation for Linear Support Vectors
- Quadratic Optimization
- Non Linear SVM
- Kernel Functions
- Default Modelling using SVM in R
- What is Python?
- Installing Anaconda
- Understanding the Spyder Integrated Development Environment (IDE)
- Lists, Tuples, Dictionaries, Variables
Data Frame Manipulation
- Data Acquisition
- Indexing, Filtering
- Sorting & Summarizing
- Descriptive Statistics
- Combining and Merging Data Frames
- Discretization and Binning
- String Manipulation
- Default Modeling using Logistic Regression in Python
- Credit Risk Analytics using SVM in Python
- Intrusion Detection using Decision Trees & Ensemble Learning in Python
Data Structures in Python
- Intro to Numpy Arrays
- Creating ndarrays
- Data Processing using Arrays
- File Input and Output
- Getting Started with Pandas
Other Predictive Modelling Tools
- Intro to Machine Learning
- Random Forests
- Sklearn Library and Statsmodels
- Key Features
- Submitting a SAS Program
- SAS Program Syntax
- Examining SAS Datasets Accessing SAS Libraries
- Sorting and Grouping
- Reporting Data
- Using SAS Formats
- Writing Observations
- Writing to Multiple Datasets
- Accumulating Total
- Creating Accumulating Total for a Group of Data
- Data Transformations
- SQL & RDBMS
- SQL Procedures
- Presenting & Summarizing Data
- Join Queries using SQL
- Subqueries, Indexes and Views
- Set Operators
- Creating Tables and Views using Proc SQL
Reading and Manipulating Data
- Reading SAS Datasets
- Reading Excel Data
- Reading Raw Files
- Reading Database Data
- Creating Summary Reports
- Combining Datasets
- Automatic Macro Variables
- User Defined Macro Variables
- Macro Variable Reference
- Defining and Calling Macros
- Macro Parameters
- Global and Local Symbol Tables
- Macro Variables in the Data Step
- Store Data Analytics in SAS
- ETL, Analysis and Reporting using SAS
- Introduction to Visualization
- Working with Tableau
- Visualization in Depth
- Data Organisation
- Advanced Visualization
- Enterprise Dashboards
- Data Presentation
Best Practices for Dashboarding and Reporting and Case Study
- Have a Methodology
- Know Your Audience
- Define Resulting Actions
- Classify Your Dashboard
- Profile Your Data
- Use Visual Features Properly
- Design Iteratively
- Resume Building and Interview Prep
- 1:1 Mock Interviews with Industry Veterans
- Clear the Technical Round of Interviews
- Give You Confidence to Face Real World Scenarios
Group Project Presentation or Refresher
- CLASSROOM: Groups present their Project Presentation in front of their peers and industry experts evaluate the solution
- ONLINE: Refresher on Domain
Training MethodologyWith a strong emphasis on ‘learning by doing’, our programs are developed with the goal of creating well-rounded, job-ready professionals that can add immediate value to any organization.
STEP 1: INSTRUCTION
Flexible Delivery: The Prodegree is delivered in two modes: Classroom and Online (Live Virtual Classes) to cater to your learning preferences.
STEP 2: EXPERIENTIAL LEARNING
Real Life Learning: Go beyond traditional rote learning through the use of 6 projects, real-life scenarios, and classroom discussions.
STEP 3: REINFORCEMENT
Assessments: Each topic is followed by Quizzes, Tests and Assignments that help understand and internalize key concepts.
STEP 4: TECHNOLOGY AIDED
Centralized Learning: Manage your performance across the program through a state-of-the-art learning management system.
24/7 SupportGet 24/7 access to your Data Science course material on our state of the art learning management system; extended access to all course material after the batch ends, and a dedicated student hotline with 24/7 support to help resolve queries.
Case Studies and Projects
CASE STUDY 1
- Default Modelling using Logistics Regressions in R Language
- Default Modelling in Support Vector Machines using R Language
CASE STUDY 2
- Default Modelling using Logistics Regression in Python
CASE STUDY 3
- Intrusion detection using Decision Trees in Python
- Intrusion detection using Ensemble Learning in Python
CASE STUDY 4
- Intrusion Detection in Network using Decision Tree in R Language
- Intrusion Detection in Network using Ensemble Learning in R
CASE STUDY 5
- Credit Risk Analytics using Support Vector Machines in Python
CASE STUDY 6
- Data Analytics storage in SAS
CareerThe Career Assistance Services (CAS) team works hand in hand with you to further your career aspirations. We thoroughly prepare you to be interview-ready through resume building sessions and interview preparation workshops, and provide you with interview opportunities with leading analytics firms.
“I consider myself fortunate enough to be a part of this reputed institute. I was enrolled at Imarticus learning for Data Science Prodegree. Faculty are very experienced and very helpful they will guide you on everything from domain knowledge to personality development.”
-Mr. Bhumsen Singh
“I was enrolled at Imarticus learning for Data Science Prodegree. The quality of teaching by all faculty was really good. Read more.. The topic was covered in detail and concepts were cleared right there. Staff/admin team are always there to help you with all your queries. Highly recommend to all who want to do this course. I am glad that I made my decision to choose Imarticus. Cheers guys good platform to start your career.”
-Mr. Mahesh Salvi
LARGE IT COMPANIES WHO HAVE AN ANALYTICS PRACTICE
IN-HOUSE ANALYTICS UNITS OF LARGE CORPORATES
NICHE ANALYTICS FIRMS
Imarticus provides 100% assistance throughout the program to guide and navigate ample career options, and assist you with job readiness from day 1.
GETTING STUDENTS JOB READY
Refining and polishing the candidate’s resume with insider tips to help them land their dream job
Preparing candidates to ace HR and Technical interview rounds with model interview questions and answers
Preparing candidates to face interview scenarios through 1:1 and panel mock interviews with industry veterans
ACCESS TO OUR PLACEMENT PORTAL
Access to all available leads and references from open and private networks on our placement portal
CertificationOn completion of the Data Science Prodegree, aspirants will receive an industry endorsed Certificate of Achievement from Imarticus Learning.
Collaboration with GenpactThe Data Science Prodegree is co-created with Genpact as the Knowledge Partner and comes with a cutting edge industry aligned curriculum and learning methodology. You will benefit in terms of:
SHARING OF CASE STUDIES
You will build multiple projects based on real-life scenarios. Genpact will assist in evaluating project submissions and provide constructive feedback
Genpact leadership will conduct guest lectures on key trends and real-world challenges plaguing the industry and mentor you towards job-readiness
INDUSTRY APPROVED CURRICULUM
You learn in-demand skills and sought-after tools and techniques required by the Data Science industry through interactive case studies and hands-on projects
Genpact is a global leader in digitally-powered business process management and services across technology, analytics, and organizational design. The company boasts net revenues of US$2.46 billion with more than 70,000 employees spread across 25 countries and 1/5th of the Fortune Global 500 companies as its clients.
Industry AdvisorsThe Data Science program is developed in consultation with senior Industry experts to ensure a high degree of relevance in accordance to the needs and demands of the industry.
AdmissionsThe Data Science Prodegree is ideal for students and experienced professionals who are interested in working in the analytics industry, and are keen on enhancing their technical skills and business understanding of data science.
Professionals who are looking to up-skill or change career paths. Technical experience is a plus.
Recent Graduates in Bachelors or Masters in Science, Math, Statistics, Engineering, Finance or Computer Applications/IT.
Those looking to enhance their resumes & build a portfolio of demonstrable work in one of the most coveted professions of this century.
Arun has over 14 years experience in Information Technology and has conducted SAS training for Infosys, Wipro, IBM, Genpact, ICICI Bank, Reliance Mutual Fund among others.Read MoreArun is a certified, accredited IT professional who has successfully trained more than 10,000 students in different technologies like SAS and R. Having previously worked as a trainer for companies such as Aptech, NIIT, Ultramax Infonet Education Pvt. Ltd., and Vistaar Systems Pvt. Ltd., Arun is uniquely qualified with many international Microsoft certifications such as MCAD, MCPD, MCTS etc. and he is also a Microsoft-certified trainer.Read More
Yogesh is a research engineer with over 14 years of experience in algorithmic development and proof of concept (PoC) demonstration using MATLAB, C/C++, Python and R.Read MoreHe is the Founder of Y P Consulting Services, which provides specialized services and software solutions in the field of innovation engineering and technology applications. Previously, he has worked as post-doctoral researcher at University of Paul Sabatier and a research & development engineer at Modartt S. A. in Toulouse, France. Yogesh holds a PhD. in Applied Mathematics from University of Paul Sabatier, France and has won over 30 awards for academic excellence.Read More
Sandeep has over 18 years of experience in IT and extensive hands-on expertise in application development involving analysis, design, development and maintenance with 10+ experienceRead Morein data mining and business intelligence in RDBMS. He has worked across multiple business domains such as Manufacturing, Retail, Banking and Insurance and has experience with large-scale, distributed systems design and development with strong understanding of Big Data and Hadoop.Read More
Satya has 25 years of experience aligning multi-million dollar Information Technology deployments with business strategy and operational processes for Fortune 1000 companies.Read MoreIn the past he has been a management consultant and a negotiator and has consulted in the areas of performance management in enterprise architecture, data mining & analytics, machine learning, pattern recognition, social media analytics and Big Data management & analytics for several start-ups as well as major corporate houses like Infosys and IBM. Satya is a BE – Electronics and Communication from University of Mysore and a MS – Computer Engineering from Florida Atlantic University.Read More
What is the Genpact collaboration about?
Genpact is involved in the Data Science training course through curriculum design, project reviews, guest lectures and mentorship. A partnership with such an industry leader ensures that the curriculum is timely and industry relevant.
What is the format of the Data Science course?
Classroom batches: Classroom training by expert faculty at our Imarticus centers in Mumbai, Bangalore, Chennai, Gurgaon, Hyderabad, Coimbatore and Pune.
Online batches: Live Instructor-led Virtual Classes (Webinars) with expert faculty for real-time learning and interaction with batch mates
Class times for both formats are fixed and you are required to be available for your classes at a predefined time each week. Both formats come with 60+ hours of engaging Instructor videos that you can watch as per your convenience before attending your lecture (be it in class or virtually).
What is the duration of the Data Science course?
What study material will be provided to us for the Data Science course?
What certificate will I get ?
What should be my expectation from the Data Science training program?
Do you guarantee placements?
What is the fee of the Data Science training course?
Data Science Training Course in Mumbai
Mumbai is the largest City in India by Population and most of the top Companies headquartered in the city. It is the leading city in Information Technology after Bangalore and Hyderabad. Mumbai is home for hundreds of the Notable MNC Companies branches and Headquarters. Some of the top IT companies include Infosys, IBM, Accenture, TCS, Polaris & much more.
Data Science is an emerging field and there are a lot of job opportunities in Mumbai pertaining to Data Science for IT professionals and the salary packages are very lucrative. If you are looking for a Data Science course in Mumbai then the Imarticus Learning Data Science Prodegree, in association with Genpact as the Knowledge Partner is the right match for you that will provide hands-on learning of leading analytical tools such as SAS, R, Python, and Tableau through industry case studies and project work.