Data Science Course Near Khanpur, Delhi
A Practical Path into One of the Highest-Demand Tech Careers
Accessible from Khanpur in under 20 minutes. Learn Excel, SQL, Tableau, Power BI, Python, and Machine Learning. Get 100% placement support near Saket Metro Gate 2.
Our Campus
F-76, Near Saket Metro Station Gate 2, New Delhi, Delhi 110030
Accessible from Khanpur in about 20 minutes
Admissions Desk
+91 85952 01835 (WhatsApp Available)
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Data Science Course in Khanpur
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Khanpur, Sangam Vihar, Devli, Madangir, and Tughlakabad Extension are home to a large, ambitious, and steadily growing student population — many of whom are now looking beyond the traditional government job or generic graduate degree path. Data Science is one of the few fields where this shift makes practical sense: it doesn't require an engineering background, it pays significantly above average entry-level salaries, and it's a field where demand is genuinely outpacing the supply of properly trained candidates.
Anshika Digital Media runs its Data Science program from F-76, near Saket Metro Gate 2 — accessible from Khanpur in about 20 minutes. The course covers Excel, SQL, Tableau, Power BI, Python, Machine Learning, Deep Learning, and AI, built around live projects rather than recorded lectures and static slides. Students leave with a working portfolio, not just a certificate.
Complete Course Details
| Course Parameter | Details |
|---|---|
| Course Name | Data Science Course – Delhi (AI-Powered, 2026) |
| Duration | Regular: 5–6 Months | Weekend: Flexible |
| Mode | Offline | Online | Hybrid |
| Batch Timings | Morning | Afternoon | Evening | Weekend |
| Class Duration | 1.5 Hours per Session |
| Fee Structure | One-Time Payment | Flexible EMI Options Available |
| Eligibility | Students, Graduates, Working Professionals, Freelancers, Business Owners |
| Certification | Anshika Digital Media Certified Course Completion Certificate |
| Libraries | 10+ Practical Modules including AI Tools |
| Placement | 100% Placement Assistance |
| Career Scope | AI developer, Data science engineer, python developer, machine learning engineers etc. |
Our Recently Placed Students
Why Khanpur Students Should Be Paying Attention to Data Science Right Now
Most students from this part of South Delhi have grown up around a fairly fixed set of career expectations — government exams, traditional degrees, or local trade work. Data Science represents a different kind of opportunity: a field that companies across every sector are actively trying to hire for, with very few formal prerequisites beyond willingness to learn and consistent practice.
The job market data backs this up clearly. Companies ranging from e-commerce platforms to banks, healthcare providers, ed-tech startups, and logistics companies are all building data teams. None of this requires a computer science degree from a top-tier college — what it requires is demonstrable skill, which is exactly what a project-based training program is designed to produce.
The Income Gap Between Trained and Untrained Candidates
| Role Level | Without Formal Training | With Structured Data Science Training |
|---|---|---|
| Entry-Level | ₹12,000–18,000/month (general office roles) | ₹25,000–40,000/month (data analyst roles) |
| Mid-Level (2–3 yrs) | ₹20,000–30,000/month | ₹60,000–1,00,000/month |
| Freelance Potential | Limited / inconsistent | ₹30,000–80,000/month (analytics projects) |
Reaching the Institute From Khanpur and Nearby Areas
The institute is located near Saket Metro Station Gate 2. Students from Khanpur typically use the Yellow Line Metro via Hauz Khas, or travel directly by road via Press Enclave Road, with average commute times under 25 minutes from most points in the area.
| Route | Approx. Travel Time |
|---|---|
| Khanpur Crossing → Saket Metro Gate 2 (by road) | 18–22 min |
| Devli → Kalkaji Mandir Metro → Saket | 20–25 min |
| Sangam Vihar → Hauz Khas Metro → Saket Metro | 18 min (Yellow Line) |
| Tughlakabad Extension → Saket via Press Enclave Road | 20 min by two-wheeler |
| Madangir → Saket (by road) | 15 min |
Breaking Down the Course — What You're Actually Learning and Why It's Sequenced This Way
Data Science is taught here as a layered skill set, where each tool builds on the one before it. Understanding why the modules are sequenced the way they are helps you see the bigger picture of what you're building toward.
Before touching a single line of Python, students start with Advanced Excel and SQL. This isn't a watered-down beginner step — it's deliberate. Most entry-level data analyst roles in India still rely heavily on Excel and SQL for daily work. You'll learn pivot tables, advanced formulas, and dashboard creation in Excel, alongside writing real SQL queries to extract and analyse data from structured databases. These two skills alone are enough to qualify for genuine entry-level data analyst positions.
Data without visual context is hard to act on. This stage teaches you to build interactive dashboards using Tableau and Power BI — tools that let you turn rows of numbers into charts and reports that a non-technical manager can understand in seconds. You'll build dashboards based on real business scenarios, the kind that data analysts present in actual team meetings.
Python is where the technical depth begins to expand. You'll start with programming fundamentals and move into the libraries specific to data work — Pandas for handling datasets, NumPy for numerical operations, and Matplotlib for visualisation. The shift from Excel-based analysis to Python-based analysis is one of the most significant skill jumps in the entire course, and it's taught gradually so students aren't overwhelmed.
With Python fundamentals in place, the course moves into more advanced programming concepts alongside statistical methods — probability distributions, hypothesis testing, correlation, and regression. This is the mathematical foundation that machine learning depends on, and it's taught with practical examples rather than abstract theory.
This is where data science starts to feel genuinely powerful. You'll learn to build models that predict outcomes — whether a customer will churn, what a future sales number might look like, or how to classify data into meaningful categories. Real datasets are used throughout, so you understand not just the mechanics of an algorithm but when and why to apply it.
The most advanced layer of the course introduces neural networks and AI applications — the technology underlying image recognition, natural language processing, and recommendation engines. Even a working understanding of this layer puts you ahead of a large share of the entry-level job market, where deep learning exposure is still relatively rare among fresh candidates.
Career Paths After This Course — Mapped to Different Starting Points
Not everyone enters this course with the same goal, and the right next step looks different depending on where you're starting from and what you want out of it.
If You Want the Fastest Route Into Paid Work
Excel and SQL skills alone, properly demonstrated through real project work, are often sufficient to land entry-level data analyst or reporting analyst roles. These positions exist across industries — finance, retail, logistics, healthcare administration — and many companies are more interested in your ability to produce accurate reports quickly than in advanced machine learning knowledge.
If You Want to Build Toward a Long-Term Technical Career
Completing the full course through Python, machine learning, and deep learning positions you for junior data scientist or machine learning engineer roles. These take longer to reach but come with significantly higher long-term earning potential and more interesting, varied work as your career progresses.
If You're Interested in Freelancing or Consulting
Small and medium businesses across Khanpur, Sangam Vihar, and Devli increasingly generate sales and customer data they have no idea how to use. A data analyst who can build a simple but genuinely useful dashboard — showing which products sell best, which months are slow, where customers are coming from — provides real, paid value to a local business owner who would otherwise never get this kind of insight.
If You Want Remote or International Opportunities
Data analysis and machine learning are highly remote-compatible skills. Platforms like Upwork and Toptal regularly list data-related freelance projects from international clients, and Indian data professionals are competitively positioned on both skill and cost. Students who build a strong project portfolio during this course are well placed to pursue these opportunities within their first year after training.
If You Want to Work in AI-Specific Roles
AI-related job functions — applied AI development, AI model evaluation, and AI-assisted automation — are growing quickly across sectors. The deep learning and AI module in this course is designed to give you a genuine, applied starting point in this space, rather than just theoretical familiarity.
Batch Timings
Batches are kept small by design. Python debugging, SQL query errors, and machine learning model troubleshooting all require one-on-one attention that simply isn't possible in an oversized classroom.
| Batch | Best For |
|---|---|
| Morning Batch | College students, those with free mornings |
| Afternoon Batch | Students with flexible daytime schedules |
| Evening Batch | Working professionals and full-time job holders |
| Weekend Batch | Those unavailable on weekdays |
| Online Live Sessions | Students preferring home-based learning |
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About the Institute
Anshika Digital Media has trained students across multiple technical and creative disciplines since 2018. The institute is registered with the Ministry of MSME, Government of India, and is ISO certified. The Data Science program follows the institute's core training philosophy — live projects from early in the course, real datasets instead of simulated exercises, and direct placement support once training is complete.
The placement team works with students individually on resume preparation, portfolio presentation, and interview readiness, with consistent monthly placements across data, design, and marketing disciplines.
| Institute Detail | Information |
|---|---|
| Established | 2018 | 11+ years in operation |
| Registration | Ministry of MSME, Government of India |
| Certification | ISO Certified |
| Address | F-76, Near Saket Metro Gate 2, New Delhi – 110030 |
| Contact | +91 85952 01835 |
Frequently Asked Questions
Find answers to common questions about the course, eligibility, batch timings, and commute.
No. The course is built from the ground up for students with zero coding background. Excel and SQL are taught first specifically to ease students into structured thinking before Python is introduced. A large share of students who join this program have never written a single line of code before their first class.
Not at all. Students from commerce, arts, and even non-graduate backgrounds have completed this program successfully. What matters more than your academic background is consistency in practice and willingness to work through problems step by step.
The complete program covering Excel, SQL, Tableau, Power BI, Python, Machine Learning, Deep Learning, and AI typically takes 6 to 8 months depending on the batch type and pace. Students who only want Excel, SQL, and visualisation tools for analyst-level roles can complete that portion faster.
Yes. Data analysis and dashboard-building work can be done entirely remotely. A number of small businesses in the Khanpur, Sangam Vihar, and Devli area need exactly this kind of support, and freelance platforms also offer access to clients well beyond the local area. Many students begin earning from small freelance projects before they've even completed the full course.
Free tutorials teach syntax in isolation. They rarely walk you through messy, real-world datasets with missing values, inconsistent formats, and ambiguous business questions — which is what actual data work looks like. Here, the entire course is built around solving exactly those kinds of real problems, with direct feedback from a trainer along the way.
A laptop with 8 GB RAM and an Intel Core i5 processor (or equivalent) handles the course requirements comfortably. You don't need a high-end gaming laptop or specialised hardware for the level of work covered in this program.
The skills taught — Excel, SQL, and data analysis fundamentals — are directly relevant to data-related roles in PSUs and government departments that increasingly require digital reporting and analytics capability. While placement support is focused primarily on private sector opportunities, the technical foundation built here applies equally to competitive exams or departmental roles that test data and analytical skills.
Yes. You'll receive the Anshika Digital Media course completion certificate along with guidance on globally recognised certifications relevant to specific tools covered in the course, strengthening your resume beyond just the institute's own credential.
Take the First Step — Book a Free Demo Class
If you're from Khanpur, Sangam Vihar, Devli, Madangir, Tughlakabad Extension, or Tigri and you're seriously considering Data Science as a career direction, the most useful thing you can do next is sit in on a live demo class. You'll see the actual teaching approach, ask questions, and judge for yourself whether this is the right fit — with no fee and no obligation.
Call or WhatsApp: +91 85952 01835
Email: anshikadigitalmedia@gmail.com | www.anshikadigitalmedia.in
Address: F-76, Near Saket Metro Gate 2, New Delhi – 110030
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