Industry Validated1st online Data Science course aligned to the SSC NASSCOM curriculum
Joint Certificationby NASSCOM FutureSkills & Jigsaw Academy
Capstone ProjectProvided for hands-on learning experience
Course Duration6 Months Online Instructor-Led Classes

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.

Batch Start Date: 25th Dec, 2020

Delivery mode: Online Live Instructor-Led Classes

Eligibility criteria:

  1. Basics in Programming & Statistics
  2. Data Science Enthusiasts
  3. Preferably Graduates
Top Skills You Will Learn

Batch Start Date: 25th Dec, 2020

Delivery mode: Online Live Instructor-Led Classes

Eligibility criteria:

  1. Basics in Programming & Statistics
  2. Data Science Enthusiasts
  3. Preferably Graduates
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

Industry Validated Certification A Dual Certification awarded by NASSCOM FutureSkills & Jigsaw Academy after successful completion of the program

Tools Covered

Curriculum

The Full Stack Data Science program contains 70+ hours of online instructor-led webinars, 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

  • Overview of Analytics
  • M&PD & Data Science technology process flow (Data Creation to Data Implementation)
  • Basic Python
  • Data Manipulation with Python
  • Introduction to Probability and Statistics
  • Recap + Q/A + Assignment Submission
  • Data Visualization with Python
  • Featured Engineering – Structured Data
  • Data Manipulation with Excel (Optional)
  • Hypothesis Testing
  • Hypothesis Testing Case Study & Assignment Discussion
  • SQL (Optional) 
  • Recap & Assignment Submission & Q/A 
  • Linear Regression (Preparation) with Python 
  • Logistic Regression with Python
  • Recap + Q/A + Assignment Discussion
  • Machine Learning – Trees
  • Machine Learning – Ensemble Methods 
  • Machine Learning – Clustering
  • Recap + Q/A + Assignment Discussion
  • Machine Learning case study in Kaggle
  • Tableau (Optional)
  • Introduction to R
  • Data Manipulation with R
  • Implementation of Techniques using R
  • Time Series
  • Recap + Capstone Project + Resume Writing & Placements
Download Course Outline

Capstone Project

The 6-month 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.

Certification

  • 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
  •  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

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
Selection/Rejection Letter

Based on the Eligibility Criteria & Resume, a selection or rejection letter will be sent.

Step 3
Admission Letter & Enrollment

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*

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FAQS

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.

The program is 6-month-long.

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.

 

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.

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

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.

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.)

 

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

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).

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

  • 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

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