Aligned to competency standards developed by SSC NASSCOM
Covering fundamentals & end-to-end Data Science concepts & tools
Jigsaw &
NASSCOM FutureSkills
28th May,
2022
Starts at
INR 4,759 /month*
Certificate Program in Full Stack Data Science is the most comprehensive program aligned to competency standards developed by SSC NASSCOM, which allows its participants to master all three elements of Data Science. This online course 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; thus, preparing you to be a Full Stack Data Science Professional in just 6 months.
Master all 3 Data Science elements – Statistics, Tools & Business Knowledge with a program designed by industry expert & faculty from Jigsaw.
6 Months Online
The 6-months online Full Stack Data Science 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. The program equips you to build core competencies in Data Science through a hands-on learning experience.
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Programme Fee
+ taxes
USD 950
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*Subject to eligibility criteria & sole discretion of the loan partner. Other T&C apply.
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Full Stack Programs help you know which courses to take in what specific order to work towards a particular job role. Jigsaw 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 (in addition to the course duration, which is 6 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