• If you have a minimum of 50% in class X, XII, and graduation, you're eligible to apply.
• Undergraduates must maintain at least 50% marks until the final year and achieve a minimum 50% aggregate upon graduation.
• Open to BE/B.Tech, BCA, B.Sc. (Physics, Chemistry, Maths, Stats, CS, IT), BBA, B.Com. with Maths, B.A. Eco with Maths, MCA, M.Sc IT, and MBA graduates.

• While the duration of the program is fixed with respect to the total number of Sprints, the calendar duration of the program depends on the batch schedule and pace of the batch.
• The pace of the batch is defined as number of sprints covered in a week.
• E.g., if the batch schedule is defined as Mon, Tue, Thu, Fri 7:30pm to 9:30pm; there are 4 sprints covered in a week. Each sprint includes, Synchronous session of 2hrs which will be held on Mon, Tue, Thu, Fri from 7:30pm to 9:30pm. Post the synchronous session, the learner has to devote min 2hours to complete the assignments and submit before the next sprint session.
• The program duration will be approximately 23 weeks @ 4 sprints per week for 4 days of the week
• The program duration may be extended subject to holidays and any other disruptions beyond NIIT’s control

• • The program comprises of multiple courses. Each course comprises of multiple sprints. A sprint is the smallest unit of delivery which consists of 2hours Synchronous Session (Live mentor led session/class) where concepts are covered, followed by minimum 2hours of Asynchronous/Practice session (self-paced as per learner convenience within the time limit), where the learner has to complete the assignments related to the sprint and submit the same to the mentor for evaluation.
  • It is very important for the learner to complete the assignments on a daily basis and ensure there are no backlogs.

• Data Analytics Using Excel
• Analytics using SQL
• Introduction to Programming using Python
• Python for Data Science
• Exploratory Data Analysis
• Exploratory Data Analysis using Power BI
• Visual Storytelling through Power BI
• Statistics using Python
• Predictive Modelling using Machine Learning
• Capstone project

Learners are required to have below mentioned system configuration whihc is essential to participate in sessions, submit work, and access learning resources without disruption.

System Configuration Requirements

1. Hardware:
• Personal laptop or desktop with sufficient capabilities to complete practice exercises, assignments, and projects.
• Processor: Intel i3 / AMD Ryzen 3 or higher.
• RAM: 8 GB or more.
• Storage: 256 GB SSD or higher.
• Functional webcam and microphone for live sessions.
2. Software:
• Operating System: Windows 10 / macOS or higher.
• Updated web browsers: Google Chrome, Microsoft Edge, or Firefox.
• Office suite: MS Office or Google Workspace.
• PDF reader installed.
3. Internet Connectivity:
• Stable and reliable broadband or Wi-Fi connection.
• Minimum speed: 10 Mbps.
• Backup connection recommended (e.g., mobile hotspot) to avoid disruptions.
4. Security and Maintenance:
• Antivirus software installed and regularly updated.
• Ability to install required course tools and libraries.
5. Additional Requirements:
• System should support live online sessions smoothly.
• Capable of running coding exercises, applications, and accessing online learning resources without performance issues.

This program is designed to build the core competencies i.e., the knowledge and skills required to perform the tasks required for the Data Analyst job role at the entry-level. As part of the learning journey, learners build the right attitude that sets them up for seamlessly transitioning to this role, as well as making them aware of some of the best practices that professionals are expected to adopt. The tough challenges that they encounter as part of the program and the capstone project help accelerate their experience. As part of our holistic approach to making them job-ready, we ensure that learners are equipped, not just with technical competencies, but also the complementary engineering & behavioral competencies.

You will be equipped with the deeper skills and competencies to embark on the Data Analyst job role at the entry-level. You will also be eligible for the career preparation and services pertaining to the entry-level Data Analyst job role*. 

*The roles may vary from organization to organization. NIIT has no binding on the nomenclature of the roles mentioned.

• NIIT does not mandate to avail the loan to join the program at NIIT. Availing of loan is completely a personal choice of the applicant.
• The loan facility is provided by a 3rd party lender (NBFC) in the best interest of the applicant. NIIT has no further role in the Loan process. Any dispute related to the loan is to be taken up with the lender only.
• The loan agreement is between the Applicant and the lender, and the applicants are informed to fully understand the terms and conditions applicable before availing of the loan.
• Any loan cancellation, foreclosure, EMI repayment etc., will be governed by the terms & conditions of the loan agreement and the loan provider only.
• The EMI amounts are calculated on the balance Fee + 18% GST.
• The Interest rate is dependent on the applicant's risk profile. The starting EMIs mentioned under payment options on the website are based on the starting interest rate for illustration purposes. The Actual EMI may vary based on the approved Interest Rate & will be at the sole discretion of the lender.
• An additional processing fee of 1% of the loan amount + 18% GST is to be paid to the lender post-loan approval.
• Loan approval will be subject to the applicant’s eligibility as determined by the lender.
• After availing of the loan, the candidate has to pay EMIs to the 3rd party lender directly.
• Any loan cancellation or refund policy will be treated based on standard and respective T&Cs.
• The program schedule and EMI repayment plan are independent and has no bearing on each other.

• If the applicant is below 21 years of age then they need to apply for the loan along with a co-applicant who is at least 21 years of age
• Minimum documentation (Applicant and Co-applicant) to apply for a loan are --> 
• PAN Card, 
• Aadhar Card (Front + Back), 
• 6 months’ income showing Bank statement.
• If the applicant/co-applicant is an working professional, recent 3 months’ salary slips.
• If the applicant/co-applicant is an Self-employed individual or Businessman, then recent ITR/Business registration proof.
• In the absence of complete or required documentation, the loan application may be rejected by the loan provider. The loan application acceptance and rejection are at the sole discretion of the lenders.
• Additional documents may be requested and are subject to the applicant\'s profile, CIBIL score and eligibility fitment
• In case you are unable to provide the documents listed above, please reach out to your Program Advisor to discuss other possible alternatives

You can read the complete set of Terms and Conditions applicable for this program at https://www.niit.com/india/terms-and-conditions/learner-rule-book-stackroute-programs/