NASSCOM FutureSkills - Ecosystem Partner

In collaboration with

Full Stack Data Science Program (FSDS)

Master all 3 Data Science elements – Statistics, Tools & Business Knowledge – with this complete hands-on & comprehensive program aligned to competency standards developed by SSC NASSCOM in collaboration with industry and approved by the government.

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Overview

Curriculum

Faculty

How to Apply

FAQs

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Program Overview

This is the most comprehensive Full Stack Data Science program available that covers all steps of the Data Science process, from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics, and Machine Learning models using R, Python, Tableau, Tensor Flow, and Keras. This course will enable learners to master all three elements of Data Science – Statistics, Tools, and Business Knowledge; thus, preparing you to be a Full Stack Data Science Professional in just 6 months.

Top Skills You Will Learn

Data Integration Data Manipulation Descriptive Analytics Data Visualization Statistical Analysis Predictive Analytics Machine Learning Models

Batch Start Date: 18th September, 2021

Delivery mode: Online

Eligibility criteria:

Basics in Programming & Statistics
Data Science Enthusiasts
Preferably Graduates

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What You Get From This Program?

Get your skillset builtImplement techniques using Python, Python packages like Numpy, Pandas, Scikit Learn, Scipy, Excel, Tableau, Hadoop, Pig, Hive, and Spark

Learn from ExpertsGet trained by the best minds in the industry that provide you with the end to end overview of all the aspects of Data Science

Get hands-on experienceHands-on practice with Capstone Project, Case Studies/Term-End Mini Projects for greater exposure and diversified opportunities

Certification Joint participation certificate awarded by NASSCOM FutureSkills & Jigsaw Academy after successful completion of the program

Tools Covered

Who should do this program?

Basics in Programming & Statistics
Data Science Enthusiasts
Preferably Graduates

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Curriculum

The Full Stack Data Science program contains 70+ hours of online classes, spread over 6 months with self-paced content for practice. The course structure enables learners to implement tools and technologies for creating predictive models.

Duration: 6 Months

With a spread of 5 Modules

Assesment: 1

Module Level Assessments and Assignment MCQ Based Program Level Assessment- Online MCQ Based Capstone Project Viva Voce Telephonic or Web-based

Capstone Project: 1

1 Module 1

Week 1 – 3

Overview of Analytics
AM&PD & Data Science technology process flow (Data Creation to Data Implementation)
Introduction to Python
Data Manipulation with Python
Introduction to Probability and Statistics

2 Module 2

Week 4 – 7

Recap + Q/A + Assignment Submission
Data Visualization with Python
Featured Engineering – Structured Data
Hypothesis Testing
SQL

3 Module 3

Week 8 – 11

Recap & Assignment Submission & Q/A
LinearRegression (Preparation ) with Python
Logistic Regression with Python
Recap + Q/A + Assignment Discussion
Machine Learning – Trees
Machine Learning – Ensemble Methods
Machine Learning – Clustering

4 Module 4

Week 12 – 16

Machine Learning case study in Kaggle
Tableau
Q & A and Capstone Project Introduction
Resume Writing
Q & A on Capstone Project

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Capstone Project

The 6-months online Full Stack Data Science Program allows learners to build core competencies in Data Science through hands-on learning experience. The program is inclusive of an exhaustive Capstone Project, several real-world Case Studies, Machine Learning experience with Trees, Ensemble Methods, Clustering, a DIY project on Kaggle, and more.

Joint Certification

NASSCOM FutureSkills Jigsaw Academy

Launched under the aegis of NASSCOM, a trade association of Indian Information Technology (IT) and Business Process Outsourcing (BPO) companies, in 2018
Industry driven learning ecosystem fueled by a curation engine that trawls high-quality learning content available on the web and funnels it in a learner-friendly format

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Recognized as the No.1 institute adept at training in emerging technologies like Data Science, Product Management, Cyber Security, Business Analytics, Cloud Computing, People Analytics, Digital HR, to name a few
Awarded the prestigious “Partner of Excellence Award 2019” by NASSCOM

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Faculty

Dr. Gangaboraiah

Faculty, M.Sc (Statistics), PhD (Statistics)

R.N. Prasad is a trusted advisor for Analytics and Product Management, and has been helping companies develop innovative BI, Analytics and Data Science applications. A Harvard-certified instructor and a Franklin Covey certified 4DX coach, Prasad loves to share his passion for technology in the classrooms.

R.N. Prasad

Faculty, BE (Electrical Engg.)

Chandrika is currently the Head Academic Delivery - IT, ITES and Data Science, at Manipal Global Education Services. She recently got certified in the RPA platform - Automation Anywhere. She is also a certified Automation Anywhere trainer.

Chandrika Bhargava

Head of Program - PGCP-DSML

The Founder and CEO at K-Arogia, a smart healthcare network, Suman, is an Analytics advisor and holds consulting experience in the healthcare industry. He holds a doctorate degree in Statistics and has contributed immensely to companies like PwC and Express Scripts.

Dr. Suman Katragadda

Analytics Thought Leader (Advisory)

A Ph.D. scholar in Computer Science (Biometrics Authentication using Image Processing) & an experienced educator with over 18+ years of experience in the technical education field, Chetana has published 30+ research articles in international journals & conferences like IEEE, ACM, Springer Verlag & Elsevier.

Dr. Chetana Hegde

Senior Faculty

Recipient of the best University Mentor by the Data Science Society, Sofia, Bulgaria, he has published 36 research papers on topics related to Analytics, ML/Deep Learning applications & e-learning in leading ABDC & Scopus-listed nationally & internationally-acclaimed refereed journals.

Dr. Subhabaha Pal

Faculty, PHD (Non-life Insurance Analytics), University of Calcutta

Gunnvant, with 3+ years of teaching experience, is an expert in business statistics, finance & data science with R.

Gunnvant Singh

Python and Machine Learning specialist, Jigsaw Academy

With over 8+ years of industry experience as a Data Science Practitioner, Mentor and Faculty, Mayukh holds expertise in delivering analytics training in R, SAS, Python and Statistics to corporates and campus.

Mayukh Ghosh

SAS expert

Jitendra is a seasoned Analytics & Data Science professional with 9+ years of industry experience. He is currently acting as a Program Head of the Integrated Program in Business Analytics (IPBA) at Jigsaw Academy and is also a senior faculty for IPBA and multiple other existing academic, retail, and corporate programs in Data Science.

Jitendra Manwani

Program Head (IPBA), Jigsaw Academy

An MBA, who started his career with startups in the e-learning domain to gain exposure in other aspects of human resources. He is an associate faculty with Jigsaw Academy and his expertise lies in excel and Google sheets.

Manoj M

Faculty, Jigsaw Academy

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How to Apply

Step 1

Talk to our Admission Counselor

Talk to our Academic Counselor, who shall resolve any query regarding the program & admission process.

Step 2

Check Eligibility

Check & confirm if you meet the Eligibility Criteria.

Step 3

Enrolment

Selected learners could pay the program fee to enroll in our program

INR 48,000 + taxes

USD 950

Interested in enrolling for the Full Stack Data Science Program? Join now and pay as low as INR 4,759 per month with our 0% interest loans*

Need assistance?

FAQS

What are Full Stack Programs?

Full Stack Programs help you know which courses to take in what specific order to work towards a particular job role. Jigsaw Academy has crafted particular programs based on the skills that are in demand in the industry. You can maximize your chances of entering the field of Analytics, Big Data, Machine Learning, and Artificial Intelligence with these customized course combinations.

What is the program duration?

The program is 6-month-long.

If I choose to withdraw my application from admission, will I be eligible for a fee refund?

The application fees and payments are non-refundable. In the case of extenuating circumstances, a transfer to the next batch is possible. However, a batch change fee will be applicable. This transfer will be approved in genuine cases only.

Is there an availability of financial support, like loans?

Yes, we have tie-ups with established financial institutions if students wish to opt for an education loan to finance the program fees. However, the loan disbursal and offers are from our loan partners and are dependent on your credit rating and details. Please contact us for more information.

Do I need my own laptop?

Yes, you will need your own laptop. We will share the technology requirement at the time of enrollment.

Will I need to spend extra on books, online learning material, or license fees?

All the requisite learning materials will be provided online through the Learning Management System. You are free to purchase any reference books or material as may be recommended by the faculty.

Will the online video content be available to me after completion of the course?

The learning material, i.e., lectures and reading content, will be available to you for 12 months once the course ends (in addition to the course duration, which is 10-11 months.)

Can my company sponsor me?

We accept corporate sponsorship and can assist you with the process. Please contact us for more details.

What does the term NOS mean?

SSC NASSCOM aims to scale quality capacity with a larger talent pool for the industry and have greater alignment between industry occupational requirements and aptitude of the appearing candidates. To fulfill its vital purpose, after detailed functional analysis, SSC NASSCOM has identified job roles in various service verticals, such as IT Services, Engineering and R&D, Software Products and Business Process Management (BPM), etc.

National Occupational Standards (NOS) or Occupational Standards (OS) defines one essential function in a job role. They specify the standard of performance an individual must achieve when carrying out a process in the workplace. These Occupational Standards are combined to form a set, which is called Qualification Pack (QP).

What are the 9 National Occupation Standards (or NOSes), from the SSC NASSCOM defined Analysis job family, that our FSDS program covers?

Below is the list of all Skills / NOSes that belong to the Data Analysis family. Our FSDS program covers all the 9 NOSes under the Data Analysis family:

N8101: Import Data as per specifications

N8102: Pre Process Data as per specifications

N8103: Perform exploratory data analysis as per specifications

N8104: Perform research and design of algorithm networks

N8105: Applied pre-defined algorithmic model to be specified as a used case

N8106: Evaluate risk of deploying algorithmic models

N8107: Evaluate the business performance of algorithmic models

N8108: Define business outcomes and create visualizations from the results of the analysis

N8127: Collect and define business requirements by interacting with clients

About Us

Jigsaw Academy

Recognized as the No.1 institute for data science training in 2019, 2018, 2017, 2016, 2014 and 2013
Awarded the prestigious “Partner of Excellence Award 2019” by NASSCOM
400+ years of combined teaching experience & 1M+ hours of learning content viewed