Data Analytics Course in Malviya Nagar —
Build Job-Ready Skills in Power BI, SQL, Python, Excel & Tableau
Malviya Nagar is one of Delhi's most vibrant and well-connected South Delhi neighbourhoods — home to professionals working across the Saket-Hauz Khas commercial corridor, students enrolled in nearby educational institutions, and entrepreneurs operating thriving local businesses. If you live in Malviya Nagar, Shivalik, Begumpur, Khirki Extension, or the broader Malviya Nagar area, a world-class Data Analytics education is closer to you than you think.
Anshika Digital Media, positioned right next to Saket Metro Station Gate 2, serves as the primary professional Data Analytics Training Centre for Malviya Nagar residents. This page walks you through everything you need to evaluate our programme: the tools and subjects you will master, how the eight-module curriculum is structured, what the placement journey looks like, and precise answers to all questions our Malviya Nagar applicants typically raise before enrolling.
Become a Job-Ready Data Analyst with Industry Experts
Get Placed as a Data Scientist in 5-6 Months — ₹ 5–25 LPA, Zero Coding Experience Needed
- Free Demo This Week
- Limited Seats Available
- Next Batch Starts Soon
- 100% Placement Assistance
- Live Projects & Case Studies
- Internship Opportunity
- Classroom & Online Training
- Interview Preparation & Resume Building
- EMI Facility Available
- Free Demo Class
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Our Address
F-76, Near Saket Metro Station Gate 2, New Delhi – 110030
Easily accessible from Malviya Nagar & Saket Metro
Admissions Desk
+91 85952 01835 (WhatsApp Enquiries)
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Data Analytics Course in Malviya Nagar
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Why Data Analytics is the Right Skill Investment for Malviya Nagar Professionals in 2026
Malviya Nagar residents are positioned at the heart of South Delhi's economic activity. The Malviya Nagar market, the corporate establishments in the Select CITYWALK area, the hospitals along Saket, and the residential density that feeds a large service economy — all of this means that Malviya Nagar's working population is more economically aware and career-conscious than almost any other South Delhi neighbourhood.
Data Analytics is not a niche specialisation anymore — it is a core business function. In 2026, organisations across sectors require employees who can operate BI dashboards, interpret complex SQL outputs, build automated Excel reports, and present analytical narratives to non-technical management. The ability to perform these tasks commands salary premiums of 35–60% above non-analytical equivalent roles. For Malviya Nagar's ambitious workforce, acquiring these capabilities represents one of the highest-return investments available.
Nationally, the Indian analytics market is expanding at a compound rate that ensures sustained hiring demand through at least 2030. Delhi NCR organisations post the highest volume of Data Analyst vacancies of any geography in India, and South Delhi — where Malviya Nagar sits — is a preferred residential choice for mid-level analysts who want good connectivity alongside quality of life.
Who from Malviya Nagar Is This Programme Designed For?
- Graduates and postgraduates in any discipline who need a professional analytics qualification to enter the data career track
- Accountants, finance officers, and MIS executives at Malviya Nagar and Saket-area businesses wanting to transition into analytics roles
- Retail and e-commerce professionals who work with sales data but lack formal analytics tool training
- Startup founders and small business owners in Malviya Nagar who want to build data visibility into their operations
- Students in their second or third year of graduation who want to be employment-ready by degree completion
- Professionals exploring freelance consulting in dashboard design, SQL reporting, or Excel automation
Complete Course Details — Data Analytics Programme for Malviya Nagar Students
Review the programme summary below before reaching out to schedule a free demo class.
| Programme Feature | Specification |
|---|---|
| Official Course Title | Professional Data Analytics Programme — Malviya Nagar / South Delhi Batch |
| Standard Duration | 5 to 6 Months | Accelerated 3-Month Track | Extended 10-Month with Deep Projects |
| Attendance Options | In-Person Classroom | Fully Online Live | Hybrid (Flexible Per Week) |
| Timing Options | Early Morning | Midday | Evening Weekday | Weekend (Fri–Sat) |
| Class Length | 90 Minutes per Session |
| Academic Prerequisite | Class 10 Minimum — Any Stream Accepted | Zero Technical Background Needed |
| Payment Flexibility | One-Time Fee with Discount | EMI Monthly Instalments |
| Credential Awarded | Anshika Digital Media Completion Certificate + NSDC Government-Backed Validation |
| Career Support Level | 100% Placement Assistance — Resume, LinkedIn, Interviews, Referrals |
| Project Exposure | Minimum 5 Business Projects + 1 Full-Scale Capstone on Real Data |
| Fresher Earning Potential | ₹3.5 LPA – ₹14 LPA Depending on Designation and Employer |
| Metro Connectivity | Malviya Nagar Metro → Saket Metro (Yellow Line, 2 Stops) → Campus 5 Min Walk |
| Institute Credentials | MSME Registered | ISO Certified | NSDC Backed | DPIIT & GeM Listed |
Student Feedback
Technology Stack — What You Will Learn and Why Each Tool Matters
Our curriculum is aligned to the actual tools listed in Delhi NCR's 2026 Data Analyst job postings. Every tool is introduced through real datasets, built up to industry proficiency, and applied in project work that populates your portfolio before you sit for your first interview.
1. Microsoft Excel — Advanced Level
The primary working environment for entry-level analysts. PivotTables, lookup precision (XLOOKUP, INDEX-MATCH), complex formulas, Power Query data automation, What-If Analysis, and VBA Macros.
2. SQL — From Zero to Advanced Queries
The language every analyst must speak fluently. Relational databases, MySQL, SQL Server, joins (including self joins), subqueries, Window Functions, CTEs, views, stored procedures, and triggers.
3. Python — Data Manipulation at Scale
Separates Excel operators from programmers handling 10M+ rows. Learn NumPy array computations, Pandas data wrangling workflows (cleaning, merging, grouping), Matplotlib/Seaborn visualisations, and Scikit-learn.
4. Power BI — Business Intelligence Dashboards
The most sought-after BI tool in India's 2026 corporate market. Connect to multiple sources, run Power Query transforms, write DAX time intelligence calculations, design interactivity, and configure Row-Level Security.
5. Tableau — Premium Data Visualisation
Used heavily in consulting and financial marketing. Master 15+ chart types, Calculated Fields, Level of Detail (LOD) expressions, dashboard interactivity parameters, and publish portfolios on Tableau Public.
6. Supporting Technologies — Looker & Stats
Cloud reporting in Google Looker Studio, Python docs in Jupyter, and statistics (probability distributions, sampling, Central Limit Theorem, hypothesis testing, ANOVA, and linear regression frameworks).
Detailed 8-Module Curriculum — Malviya Nagar Programme
Purpose: Establish foundational thinking before touching any tool.
Coverage: What data is and how businesses generate and consume it, structured vs semi-structured vs unstructured data formats, the complete data pipeline lifecycle, how Business Intelligence differs from Data Science and Machine Learning, understanding KPIs, OKRs, and business metrics that analysts track, introduction to OLTP and OLAP systems, and a complete preview of the eight tools students will master through the programme.
Purpose: Develop Excel capability that is immediately monetisable in any corporate environment.
Coverage: Advanced formula architecture (SUMPRODUCT, SUMIFS, COUNTIFS, AVERAGEIFS, IFERROR, array formulas), lookup precision with VLOOKUP, HLOOKUP, XLOOKUP, and INDEX-MATCH, PivotTable construction with slicers, timelines, and calculated fields, dynamic dashboard design with interactive controls, data cleaning workflows using Flash Fill, text-to-columns, and deduplication, Power Query for automated multi-source data imports, What-If Analysis tools (Goal Seek, Scenario Manager, Data Tables), and VBA Macro writing and editing.
Mini-Project: Fully automated quarterly business performance dashboard.
Purpose: Develop complete database querying capability from first principles to advanced level.
Coverage: Relational database theory and schema design, MySQL Workbench and SQL Server installation and configuration, DDL commands (CREATE, ALTER, DROP, TRUNCATE), DML commands (SELECT, INSERT, UPDATE, DELETE), WHERE clause filtering with all operators, aggregate functions (SUM, AVG, COUNT, MIN, MAX) with GROUP BY and HAVING, INNER/LEFT/RIGHT/FULL OUTER/SELF JOINs, scalar and correlated subqueries, Window Functions (ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE), CTEs and Recursive CTEs, Stored Procedures, User-Defined Functions, Views, Triggers, and EXPLAIN-based performance tuning.
Mini-Project: Comprehensive 30+ query analysis of a financial services database.
Purpose: Build Python skills that pass technical interview tests and enable real-world data processing.
Coverage: Anaconda environment setup, Python core syntax and data structures, file handling for CSV/Excel/JSON, NumPy operations on multi-dimensional arrays, Pandas DataFrame operations (creation, indexing, selection, filtering, data type conversion, null handling, duplicate removal, merge, join, concat, groupby, pivot_table), Matplotlib chart creation (line, bar, scatter, histogram, pie, subplots), Seaborn statistical plots (heatmap, pairplot, violin plot, regression plot, boxplot), and Scikit-learn preprocessing and train-test split fundamentals.
Mini-Project: Full EDA report on a retail sales dataset with visualisations and written conclusions.
Purpose: Develop deployment-ready Power BI skills for Data Analyst and BI Developer roles.
Coverage: Power BI Desktop interface navigation, connecting to Excel, SQL Server, SharePoint, web sources, and APIs, Power Query transformation (splitting columns, merging queries, custom columns, conditional logic), data modelling with star and snowflake schemas, table relationships, and cardinality management, DAX fundamentals (calculated columns vs measures, evaluation context), core DAX functions (SUM, AVERAGE, COUNT, CALCULATE, FILTER, ALL, ALLEXCEPT), Time Intelligence (TOTALYTD, TOTALQTD, TOTALMTD, DATEADD, SAMEPERIODLASTYEAR, PARALLELPERIOD, DATESBETWEEN), advanced DAX (RANKX, TOPN, SWITCH, DIVIDE, SELECTEDVALUE, HASONEVALUE, VAR), all visualisation types, report interactivity (slicers, bookmarks, page navigation, drill-down, drill-through, cross-filter), Power BI Service (publishing, workspaces, sharing, refresh schedules), and Row-Level Security implementation.
Mini-Project: Multi-page Supply Chain Analytics Dashboard.
Purpose: Build Tableau expertise that meets the standard of analytics teams in consulting, banking, and healthcare environments.
Coverage: Tableau Desktop interface, understanding dimensions versus measures and discrete versus continuous fields, chart construction (bar, line, scatter, dual-axis, heatmap, treemap, bullet chart, Gantt, box-and-whisker, waterfall, area, density, highlight table), Calculated Fields (string, date, numeric, logical, table calculation functions), Parameters for dynamic dashboard interactivity, LOD Expressions (FIXED, INCLUDE, EXCLUDE) for aggregate comparisons, dashboard layout design with containers and action-based navigation, Story Points for structured data presentations, and Tableau Public profile building for portfolio visibility.
Mini-Project: Financial Performance Analytics Dashboard published on Tableau Public.
Purpose: Give students the quantitative reasoning framework that separates superficial tool users from trusted analytical professionals.
Coverage: Descriptive statistics (mean, median, mode, variance, standard deviation, IQR, skewness, kurtosis), data distribution shapes and their business implications, classical and empirical probability, probability distribution families (Normal, Binomial, Poisson, Exponential), sampling techniques and the Central Limit Theorem, hypothesis testing framework (null vs alternative hypothesis, p-values, confidence intervals, Type I and Type II errors), one-sample and two-sample t-tests, z-tests, chi-square tests, one-way and two-way ANOVA, Pearson and Spearman correlation coefficients, simple and multiple linear regression, and A/B testing design, execution, and statistical interpretation.
Purpose: Produce a portfolio-grade project and prepare every student to win their first analytics job offer.
Coverage: Full-cycle capstone project (business dataset -> data audit -> cleaning -> analysis -> multi-tool visualisation -> written report -> stakeholder presentation), portfolio structuring on GitHub and personal portfolio websites, professional resume writing (ATS-optimised formatting, quantified achievement statements, skills section structure), LinkedIn profile engineering (headline, About section, featured section, skill endorsement strategy, creator mode), mock technical interviews (SQL problem sets, Python coding questions, Excel case study walkthroughs), HR interview preparation (career narrative, salary negotiation, handling experience gap questions), and job application playbook across Naukri.com, LinkedIn, Indeed, Internshala, and direct company career portals.
Career Placement Programme — How We Support Malviya Nagar Students into Jobs
Placement support at Anshika Digital Media is not a service you access after finishing the course — it is a continuous programme that begins in Module 4 and runs parallel to your technical training all the way through to your first offer letter.
What the Placement Process Includes for Every Student
- Professionally structured resume written in ATS-compliant format that clears automated HR screening systems used by MNCs
- LinkedIn profile built to appear in recruiter search results for relevant Data Analyst keywords in Delhi NCR
- At least two full rounds of mock technical interviews simulating real SQL, Python, and Excel-based assessments
- HR interview preparation covering situational questions, salary discussion strategy, and offer evaluation guidance
- Business communication and presentation skills coaching — essential for analyst roles that require reporting to leadership
- Access to our active recruiter network across 100+ companies in Delhi NCR, Gurugram, Noida, and Faridabad
- Trainer-issued Letters of Recommendation for students with strong academic and project performance
- Pre-placement internship opportunity for eligible students wanting formal corporate experience on their resume
Key Hiring Sectors for Our Malviya Nagar Graduates
- Financial Services — HDFC Bank, ICICI, Bajaj Finserv, Kotak, SBI, insurance and fintech companies
- Technology and Consulting — TCS, Wipro, Accenture, Cognizant, Deloitte, EY
- Digital Commerce — Amazon India, Flipkart, Nykaa, Myntra, Meesho, Ajio
- Healthcare Analytics — Apollo, Fortis, Max Healthcare, 1mg, Practo, Medlife
- Consumer Products and FMCG — Hindustan Unilever, ITC, Dabur, Marico, Emami
- Media, Telecom and Advertising — Airtel, Jio, InMobi, GroupM, Publicis
- High-Growth Tech Startups — Razorpay, PhonePe, Zepto, Swiggy, Delhivery, Urban Company
Salary Benchmarks After Course Completion — Delhi NCR Analytics Market
| Experience Stage | Common Designation | Expected CTC Range |
|---|---|---|
| 0–1 Year (Entry Level) | Data Analyst / MIS Executive | ₹3.5 LPA – ₹6 LPA |
| 1–3 Years (Early Career) | Data Analyst / Reporting Analyst / BI Dev | ₹6 LPA – ₹10 LPA |
| 3–5 Years (Mid-Level) | Senior Data Analyst / Analytics Lead | ₹10 LPA – ₹15 LPA |
| 5+ Years (Senior Track) | Analytics Manager / Data Science Specialist | ₹15 LPA – ₹25 LPA+ |
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Why Malviya Nagar Students Prefer Anshika Digital Media
Multi-Layer Government Recognition
Anshika Digital Media carries registrations and recognitions from four separate government bodies: Ministry of MSME, NSDC (National Skill Development Corporation), DPIIT (Department for Promotion of Industry and Internal Trade), and the Government e-Marketplace (GeM) portal. This depth of official recognition is unusual for a private training institute and directly strengthens the value of your certification in job applications — particularly in government sector, PSU, and banking roles.
International Quality Standard Certification
Our institute holds ISO certification covering training programme design, instructional delivery, and student support services. This means the education you receive at Anshika Digital Media meets the same quality benchmarks as leading international skill development institutions — a distinction that resonates with multinational employers.
Practitioner-Led Instruction — Tejasvi Karwal
Data Analytics at Anshika Digital Media is taught by Tejasvi Karwal — a credentialed practitioner holding a Master's degree in Data Science and carrying 3–4 years of professional experience working with real business datasets in corporate environments. Tejasvi teaches from a position of direct professional experience: the analytical challenges, the business contexts, and the real-world tool usage that appear on the job are replicated in every classroom session. This industry-grounded pedagogy is what makes our training directly applicable rather than theoretically abstract.
Research-Backed Curriculum — Aligned to 2026 Job Descriptions
We regularly audit Data Analyst job postings across Naukri.com, LinkedIn, and company career portals to ensure our curriculum content matches what employers are actually testing in interviews. Our 2026 module structure reflects the tools, techniques, and conceptual frameworks most frequently mentioned in Delhi NCR job descriptions — so students enter interviews without encountering unfamiliar terminology.
Cohort-Based Community and Peer Learning
Small batches create a genuine peer community. Students from Malviya Nagar routinely study together outside class, share datasets and insights, and build professional relationships that continue beyond the course. This cohort dynamic — rare in larger institutes — produces stronger project outcomes and a more supportive transition into the workforce.
Upcoming Batches
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Frequently Asked Questions — Data Analytics Course in Malviya Nagar
Find answers to common questions about the course, eligibility, batch timings, placements, and commute from Malviya Nagar.
From Malviya Nagar Metro Station on the Yellow Line, take the train to Saket Metro Station — this is a two-stop journey taking approximately 4–5 minutes. Exit from Gate 2 at Saket. Our campus at F-76 is a comfortable 4–5 minute walk from Gate 2. If you travel by road from Malviya Nagar market or the residential sectors, the distance is approximately 10–15 minutes by auto or ride-hailing cab.
Yes, completely. Our programme is specifically designed for students with zero prior exposure to programming, statistics, or database systems. We have taught B.Com graduates who had never heard of Python, arts graduates who were unsure what SQL stood for, and commerce professionals who had only used Excel for basic addition and subtraction — all of whom completed the course and are now working as Data Analysts. We begin every module from first principles and progress at a pace that ensures no student is left behind.
We offer both full-fee and instalment-based payment options. Students who pay in a single transaction receive a fee discount. For those who prefer to spread the investment, we offer monthly EMI plans that are structured to be genuinely manageable. Merit-based scholarships and discount campaigns run periodically throughout the year. For current fee information, call or WhatsApp us at +91 85952 01835 or attend the free demo class and discuss directly with our admissions team.
Placement support begins mid-course, not after completion. First, we build your resume from scratch using ATS-optimised templates and help you quantify your project experience with data-driven achievement statements. Simultaneously, we construct your LinkedIn profile with keyword-optimised sections that attract recruiter attention. Once your profile is strong, we begin mock interview preparation — typically two full technical mock rounds and one HR round — before submitting your profile to relevant companies in our recruiter network. We track every application and follow up with companies on your behalf. Each month, 10+ students across our batches receive confirmed placement offers.
The primary differences are accountability, personalisation, and placement. Online platforms provide content but no structured progression, no live doubt resolution, no project review from an expert, and zero placement support. At Anshika Digital Media, you attend live classes with a trainer who knows your progress by name, receive real feedback on your project work, participate in mock interviews tailored to your specific profile and target roles, and gain access to a recruiter network that online platforms cannot offer. The completion rate and actual job placement rate for Anshika Digital Media students vastly exceeds that of self-study approaches.
Both are viable. Students who live in Malviya Nagar and can reach the campus comfortably typically choose classroom or hybrid attendance. Students with fixed work schedules or those who prefer learning from home opt for fully online live classes — where the teaching quality, trainer interaction, project guidance, and placement support are identical. Many students use a hybrid model dynamically: attending in person when schedules permit and joining online when they cannot.
You will receive an Anshika Digital Media Course Completion Certificate that is accompanied by NSDC validation — the National Skill Development Corporation is a government body whose endorsement is recognised across India's private and public sectors. For high performers, additional recognition includes a trainer-signed Letter of Recommendation (which meaningfully strengthens senior analyst and BI Developer applications) and an Internship Opportunity Letter from a partner organisation.
Absolutely. Students who complete the core Data Analytics programme often go on to pursue advanced specialisations with us in Data Science (Machine Learning, Deep Learning), Advanced Power BI (including enterprise deployment and governance), or Digital Marketing Analytics. We offer seamless upgrade pathways that build on your existing foundation and give you access to higher-paying specialist roles. Our trainers provide ongoing career counselling to help you identify the most beneficial direction based on your career goals.
That is exactly what our free demo class is for. We invite every prospective student from Malviya Nagar to attend a full-length complimentary session where you experience the trainer's teaching method firsthand, interact with current students about their experience, understand the project workflow, and get a realistic preview of what the professional Data Analytics role involves. There is no sales pressure and no requirement to enrol. You make your decision only after seeing the full picture.
Most students receive their first offer within 2–4 months of course completion, provided they engage actively with the placement programme and maintain consistent project work throughout the training. Students who attend mock interviews diligently, build a strong GitHub portfolio, and respond promptly to recruiter outreach from our placement cell consistently report faster offer timelines. Some students with particularly strong SQL and Power BI projects receive offers even before formally completing the course.
Take the First Step from Malviya Nagar — Book Your Free Data Analytics Demo Today
Your decision to explore a Data Analytics career is already the right one. The only remaining question is which institute will take you there most effectively. If you are in Malviya Nagar, the answer is just two metro stops and a short walk away. Anshika Digital Media's free demo class costs you nothing and shows you everything — attend, evaluate, and enrol only when you are fully satisfied.
Call or WhatsApp
+91 85952 01835
Email & Website
anshikadigitalmedia@gmail.com | www.anshikadigitalmedia.in
Campus Address & Operating Hours
F-76, Near Saket Metro Station Gate 2, New Delhi – 110030 | Mon–Sat: 10:00 AM – 7:00 PM
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