Privacy Policy

Effective Date: July 27, 2025
Legal Entity: SUPERPORT VENTURES INDIA PRIVATE LIMITED
Brand Name: Superport-IT
Registered Office: 3-63, Uppala Vari Street, Challapalli, Krishna District, Andhra Pradesh, 521126, India
Website: https://superport-it.com
 
1. Purpose and Scope
 
This Privacy Policy explains how we collect, use, process, store, disclose, and protect your personal information when you access or interact with our website or services. We are committed to complying with:
•The Information Technology Act, 2000
•The Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011 (SPDI Rules)
•The Digital Personal Data Protection Act, 2023 (DPDP Act)
•Any other applicable Indian laws or sector-specific guidelines
 
This policy is applicable to all users accessing our website or availing our services, including clients, customers, vendors, and general visitors.
 
⸻
 
2. Definitions
•“Personal Information” means any information that relates to a natural person which, either directly or indirectly, identifies the individual.
•“Sensitive Personal Data” includes passwords, financial information, health data, biometric data, etc.
•“You” / “User” refers to any person using the website or services.
 
⸻
 
3. What Information We Collect
 
We collect the following types of information:
 
a. Direct Information
•Name, email address, phone number, city, organization details
•Payment transaction details (processed via third-party gateways — we don’t store card data)
•Communication records (emails, calls, messages)
 
b. Automatically Collected Information
•IP address, browser type, device model
•Location data (approximate)
•Browsing history on our website (pages viewed, session time)
 
c. Third-Party Data
•Information shared with us by payment processors, marketing partners, or other integrations (e.g., Google Analytics, Meta Pixel)
 
⸻
 
4. Legal Basis for Data Collection
 
We collect and process your data under the following legal bases:
•Consent
•Performance of a contract
•Legal obligations
•Legitimate business interest (e.g., user behavior analytics)
 
⸻
 
5. User Consent
 
By using our website, submitting forms, or making payments, you explicitly consent to:
•The collection and processing of your personal data
•Communication via phone, email, or messaging apps for business purposes
•Data sharing with third-party service providers solely for service fulfilment
 
⸻
 
6. How We Use Your Data
 
We use your data to:
•Register you on our platform
•Deliver services you’ve requested (training, onboarding, support)
•Process your payments securely via third-party gateways
•Send service or marketing communications (only with your consent)
•Improve our offerings through analytics and usage patterns
 
⸻
 
7. Grievance Redressal (Mandatory by Indian Law)
 
To comply with Indian IT Rules, we appoint the following:
 
Grievance Officer:
Name: Pavan
Designation: Grievance Officer
Email: info@superport-it.com
Resolution Time: Within 7 working days
 
⸻
 
8. Your Rights Under Indian Law
 
You have the right to:
•Request access to your data
•Rectify incorrect data
•Withdraw consent at any time
•Request deletion of your data
•Raise concerns to the Grievance Officer
•Lodge complaints with the Data Protection Board of India under DPDP 2023
 
⸻
 
9. Data Sharing and Disclosure
 
We do not sell your personal information. We may share it only with:
•Payment processors (e.g., Razorpay, PhonePe)
•Hosting and analytics providers (e.g., GoDaddy, Google)
•Legal or regulatory authorities upon lawful request
•Internal teams strictly on a need-to-know basis
 
All third parties are bound by confidentiality and data protection obligations.
 
⸻
 
10. Data Retention
•Contact and transaction records: Retained for 5 years for legal and auditing purposes.
•User profiles: Retained until you request deletion or deactivate the account.
•Cookies and analytics: Retained as per browser/app defaults (typically 1 year)
 
⸻
 
11. Security Practices
 
We implement industry-standard security measures, including:
•SSL encryption
•Role-based access control
•Multi-factor authentication (internal systems)
•Secure cloud hosting
•Periodic vulnerability testing
 
⸻
 
12. Cookies and Tracking
 
We use cookies and similar tracking technologies to:
•Save login preferences
•Track user engagement
•Display relevant content
 
You may opt out via browser settings.
 
⸻
 
13. Children’s Privacy
 
We do not knowingly collect data from children below 18 years without parental consent.
 
⸻
 
14. Policy Changes
 
We reserve the right to amend this policy. Updates will be published on this page with a revised “Effective Date.”
 
⸻
 
⸻
 
TERMS AND CONDITIONS
 
Effective Date: July 27, 2025
Legal Entity: SUPERPORT VENTURES INDIA PRIVATE LIMITED
Brand Name: Superport-IT
Website: https://superport-it.com
 
⸻
 
1. Acceptance of Terms
 
By visiting our website, registering, or making payments, you agree to be bound by these Terms & Conditions. If you do not agree, please do not access or use the website.
 
⸻
 
2. Service Scope
 
We provide software consultancy, training programs, project services, and manpower services under the brand Superport-IT.
 
⸻
 
3. Eligibility
 
By accessing the platform, you confirm that:
•You are at least 18 years old
•You are legally capable of entering a binding contract under Indian laws
 
⸻
 
4. Intellectual Property
 
All content (logos, text, images, code, layout) on the website is owned or licensed by SUPERPORT VENTURES INDIA PRIVATE LIMITED. Unauthorised use or reproduction is prohibited and may attract civil or criminal penalties.
 
⸻
 
5. Payments and Billing
•Payments are processed through secure payment gateways (e.g., PhonePe, Razorpay)
•We do not store or retain card details
•All amounts are inclusive of GST unless stated otherwise
•Receipts are auto-generated upon successful transactions
 
⸻
 
6. Refund and Cancellation Policy
•No refund/cancellation once services or training has commenced
•If technical failure occurs during payment, email us at info@superport-it.com within 24 hours
•Exceptions may be made on a case-by-case basis at company discretion
 
⸻
 
7. Limitation of Liability
 
We are not liable for:
•Service interruptions caused by third-party systems (hosting, payment)
•Incorrect user-submitted data
•Force Majeure events (natural disasters, strikes, regulatory changes)
 
Maximum liability, if any, is limited to the amount paid by the user for the concerned service.
 
⸻
 
8. User Responsibilities
 
You must not:
•Use false identity or impersonate others
•Misuse site functionality or disrupt operations
•Upload viruses, offensive content, or unlawful material
 
We reserve the right to suspend or block access to any user found violating these terms.
 
⸻
 
9. Third-Party Links
 
We may include links to third-party websites for convenience. We do not endorse or take responsibility for those sites’ content or practices.
 
⸻
 
10. Jurisdiction and Governing Law
 
All disputes will be governed by Indian law, and legal proceedings shall take place exclusively in the courts of Krishna District, Andhra Pradesh.
 
⸻
 
11. Amendment
 
We reserve the right to change or update these terms at any time. Continued use of the website constitutes your acceptance of the new terms.
Scroll to Top
close menu icon

Data Science Foundation Track

Course Curriculum: Your Journey from Novice to Data Scientist

Our curriculum is meticulously designed to take you on a step-by-step journey through the world of data science. Each module builds upon the last, blending core theory with practical, hands-on projects to ensure you don’t just learn—you learn by doing.

Module 1: Kickstart & Python Fundamentals (Week 1-2)

Objective: Build the foundational launchpad for your data science journey.

1.1 Introduction to Data Science:
  • What is Data Science, AI, and Machine Learning?
  • Roles & Responsibilities: Data Analyst vs. Data Scientist vs. ML Engineer.
  • The Data Science Lifecycle: From Business Problem to Deployed Solution.
1.2 Python Programming Essentials:
  • Setting up Your Environment: Anaconda, Jupyter Notebooks & VS Code.
  • Python Basics: Variables, Data Types, Operators, and Control Flow (Loops & Conditionals).
  • Core Data Structures: Lists, Tuples, Dictionaries, and Sets.
  • Functions and Object-Oriented Programming (OOP) Concepts.
  • Project 1: Create a simple command-line application (e.g., a calculator or a text-based game) to solidify Python programming logic.

Module 2: Data Analysis with NumPy & Pandas (Week 3-4)

Objective: Learn to manipulate, clean, and analyze complex datasets with industry-standard libraries.

2.1 Numerical Computing with NumPy:
  • Introduction to NumPy Arrays and their advantages over Python Lists.
  • Array Indexing, Slicing, and Mathematical Operations.
  • Statistical functions and Linear Algebra basics.
2.2 Data Manipulation with Pandas:
  • Introduction to Pandas Series and DataFrames.
  • Importing Data: Reading from CSV, Excel, and other file formats.
  • Data Cleaning: Handling Missing Values, Duplicates, and Inconsistent Data.
  • Indexing, Filtering, and Sorting DataFrames (iloc, loc).
  • Grouping and Aggregation with groupby().
  • Project 2: Take a messy, real-world dataset (e.g., sales data) and perform a full data cleaning and initial analysis to uncover key insights.
Module 3: Database Management with SQL (Week 5)

Objective: Master the art of querying databases to extract exactly the data you need.

3.1 Relational Database Fundamentals:
  • Understanding Tables, Primary Keys, and Foreign Keys.
3.2 Essential SQL Queries:
  • SELECT, FROM, WHERE for data retrieval.
  • GROUP BY, HAVING, ORDER BY for data aggregation and sorting.
3.3 Advanced SQL:
  • Joining multiple tables (INNER, LEFT, OUTER JOINs).
  • Subqueries and Common Table Expressions (CTEs).
  • Project 3: Answer complex business questions by writing SQL queries against a sample relational database (e.g., an e-commerce store database).
Module 4: Data Visualization & Storytelling (Week 6)

Objective: Transform raw data into compelling visual stories that drive business decisions.

4.1 Principles of Effective Visualization:
  • Choosing the right chart for your data.
  • The art of storytelling with data.
4.2 Visualization with Matplotlib & Seaborn:
  • Creating basic plots with Matplotlib (Line, Bar, Scatter).
  • Building advanced statistical plots with Seaborn (Heatmaps, Box Plots, Violin Plots).
  • Customizing plots for professional reports.
4.3 Interactive Dashboards:
  • Introduction to interactive plotting with libraries like Plotly.
  • Project 4: Create a multi-chart dashboard to present the findings from your Project 2 dataset, telling a clear story about the insights you discovered.
Module 5: Essential Statistics & Probability (Week 7)

Objective: Understand the statistical concepts that form the backbone of all data science models.

5.1 Descriptive Statistics:
  • Measures of Central Tendency (Mean, Median, Mode).
  • Measures of Dispersion (Variance, Standard Deviation).
5.2 Probability Distributions:
  • Understanding Normal, Binomial, and Poisson distributions.
5.3 Inferential Statistics:
  • Hypothesis Testing, P-values, and Confidence Intervals.
  • Introduction to A/B Testing for business decision-making.
  • Project 5: Analyze the results of a sample A/B test to determine if a change to a website resulted in a statistically significant improvement.
Module 6: Machine Learning Fundamentals (Week 8-9)

Objective: Build and evaluate your first predictive models.

6.1 Introduction to Machine Learning:
  • Supervised vs. Unsupervised vs. Reinforcement Learning.
  • The Train-Test Split and Model Evaluation Metrics.
6.2 Regression Models:
  • Linear Regression: Predicting continuous values (e.g., house prices).
6.3 Classification Models:
  • Logistic Regression: Predicting binary outcomes (e.g., customer churn).
  • K-Nearest Neighbors (KNN) and Decision Trees.
  • Project 6: Build two models: one to predict house prices from a real estate dataset and another to predict customer churn from a telecom dataset.
  • Module 7: Advanced Machine Learning & Capstone Project (Week 10-12)

Objective: Tackle complex problems with advanced algorithms and complete a portfolio-worthy project.

7.1 Advanced Techniques:
  • Ensemble Methods: Random Forests and Gradient Boosting (XGBoost).
  • Unsupervised Learning: K-Means Clustering for customer segmentation.
  • Introduction to Feature Engineering.
7.2 Capstone Project:
  • Choose from a selection of real-world business problems.
  • Apply the entire data science lifecycle: Data Acquisition, Cleaning, EDA, Modeling, and Interpretation.
  • Present your findings and methodology in a final report.
7.3 Introduction to Deployment:
  • Learn how to build a simple, interactive web app for your model using Streamlit.
Module 8: Career Accelerator Workshop (Exclusive to the ₹58,000 Program)

Objective: Polish your professional profile and prepare for the job market.

8.1 Building Your Professional Brand:
  • Crafting a high-impact, keyword-optimized CV/Resume.
  • Optimizing your LinkedIn profile to attract recruiters.
8.2 Acing the Interview:
  • Technical Interview Preparation (SQL, Python, ML Theory).
  • Live Mock Interviews with personalized feedback.
8.3 Internship & Placement:
  • Onboarding for your guaranteed internship.
  • Workshops on abroad assistance (SOP/LOR writing) and job application strategies.