Leading Data Analytics Course in Model Town with 100% Placement Support
If you want to help businesses make sharper decisions, the Data Analytics Course in Model Town at DSSD teaches you to read data the way owners and managers need. Over 6 months you learn Excel, SQL, Python, Power BI, Tableau, statistics and machine learning basics, practising on records businesses live by — showroom inventory, coaching admissions, gym memberships and salon bookings.
DSSD has taught in Delhi for 8+ years, training 91,000+ students. Weekday batches at the centre near Rohini West Metro Station, backup classes and EMI keep study manageable beside college or work, and learners from Model Town, Ashok Vihar, Shalimar Bagh, Derawal Nagar and Kingsway Camp reach the centre easily. Mentors review your work each week, so you leave with dashboards and case studies a business owner can actually use.
Want marketing skills alongside? DSSD’s Digital Marketing Course in Model Town runs from the same centre. This page sets out the syllabus, fee options, batch details, trainer profiles and placement support for the Model Town batch.
Placement Partners Behind Model Town Learners
Delhi NCR employers hiring analysts want people who can already read business data and say what it means, which is what DSSD’s hiring partners test. Model Town learners get resume polishing, interview rehearsal and regular openings for analyst, business analyst and MIS roles, supported exactly like every DSSD batch, so a North Delhi classroom never caps the employers you can reach.
AI-Powered Data Analytics Course in Model Town
AI Assistants Enhancing Excel, SQL, Python and Power BI
- A recognised analytics certificate for Model Town learners
- Job-centred training with complete placement assistance
- Hands-on practice in Excel, SQL, Power BI and Python
- Projects and case studies built on live business records
- Mentor-led training where practice leads theory
- Internship and placement help once training is over
- Python for analysis, taught through real datasets
- Internship with genuine workplace exposure
- A completion certificate after finishing modules and projects
Live Projects and Internship in the Model Town Batch
Businesses decide on numbers every day, so the Model Town batch trains you to turn raw records into decisions. You work on showroom inventory, coaching admissions, gym memberships and salon bookings, converting them into dashboards and case studies that show a business owner what to do next, and an internship afterwards puts you inside a real team before you apply. AI assistants such as Microsoft Copilot and Power BI Copilot assist daily — suggesting formulas, verifying queries and polishing reports.
Microsoft Fabric AI
Power BI Copilot
Microsoft Copilot
Tableau AI
What You Will Learn in the Data Analytics Course in Model Town
- Introduction to Data Analytics
- Advanced Excel
- SQL (Structured Query Language)
- Python for Data Analysis
- Data Cleaning
- Statistics Basics
- Data Visualization
- Power BI / Tableau
- Business Analytics
- Live Projects
- Resume & Interview Prep
Introduction to Data Analytics
This first module explains an analyst’s daily work: reading inventory and admissions records, finding what changed, and turning it into guidance a business can follow. Showroom, coaching and fitness examples make it concrete.
You can begin with no technical background and finish the module with a chosen target role in mind — data analyst, MIS executive or reporting analyst.
Topics Covered
Understanding Data Analytics and Its Applications
Stages of the Data Analytics Lifecycle
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
Structured and Unstructured Data
Common Data Sources and Collection Methods
Data Quality, Privacy, and Responsible Use
Role and Responsibilities of a Data Analyst
Career Opportunities in Data Analytics
Advanced Excel
Formulas, pivot tables, dashboards and cleaning in Excel, the tool business analysis still needs first, practised on inventory sheets, admission lists and membership records.
You convert raw worksheets into reports and dashboards that work as evidence of skill in interviews.
Topics Covered
Excel Tables and Structured References
IF, IFS, SUMIFS, and COUNTIFS
VLOOKUP, XLOOKUP, and INDEX-MATCH
Text, Date, and Error-Handling Functions
Sorting, Filtering, and Data Validation
Pivot Tables and Pivot Charts
Power Query for Data Preparation
Dashboard Creation and Business Reporting
SQL (Structured Query Language)
Queries, joins and answers from databases — the skill behind nearly every analyst test, from SELECT to subqueries and CTEs. Inventory, admissions and membership exercises teach you to verify outputs and explain what queries show.
You finish able to write queries a reviewer can follow and results a manager can understand.
Topics Covered
Relational Database Fundamentals
Tables, Data Types, Primary Keys, and Foreign Keys
SELECT, WHERE, ORDER BY, and DISTINCT
Aggregate Functions, GROUP BY, and HAVING
INNER JOIN and OUTER JOIN
Subqueries and Common Table Expressions
CASE Expressions and Handling NULL Values
Query Validation and Reporting Datasets
Python for Data Analysis
Python, Pandas and NumPy through practical data, not lengthy lectures — load files, clean data, add columns and summarise results.
Notebook work combines code, notes and visuals, leaving workflows you can explain in a technical interview.
Topics Covered
Python Syntax and Programming Fundamentals
Lists, Tuples, Dictionaries, and Sets
Conditions, Loops, and Functions
Working with Jupyter Notebooks
NumPy Arrays and Numerical Operations
Pandas DataFrames and File Import
Data Transformation, Grouping, and Merging
Exploratory Data Analysis and Task Automation
Data Cleaning
Missing, duplicate and inconsistent data — the normal state of business records — with cleaning choices linked to the decision at hand. You follow a repeatable routine that protects originals and notes every assumption.
Clean inputs make honest reports, so this module teaches you to spot problems before they spread.
Topics Covered
Identifying Common Data Quality Problems
Handling Missing and Incomplete Records
Finding and Removing Duplicate Entries
Standardizing Text, Dates, and Categories
Correcting Data Types and Invalid Values
Investigating Outliers and Inconsistencies
Validating Cleaned Datasets
Documenting Cleaning Steps and Assumptions
Statistics Basics
Averages, spread, correlation and interpreting results without false conclusions, tied to everyday business reporting. You learn how one average can hide the story, and how samples and outliers mislead.
The aim is sound judgement: picking the right number, and knowing when data does not settle the question.
Topics Covered
Descriptive Statistics and Data Summaries
Mean, Median, and Mode
Range, Variance, and Standard Deviation
Percentiles and Frequency Distributions
Probability Fundamentals
Populations, Samples, and Sampling Bias
Correlation and Its Limitations
Interpreting Statistical Results in Business
Data Visualization
Charts and stories decision-makers understand — bars, lines, scatter and histograms with clean titles, labels and colour. You arrange visuals into an explanation a business owner can act on.
Good visualisation is disciplined: the right chart, clear labelling, and a comparison that tells the story.
Topics Covered
Principles of Effective Data Visualization
Selecting Charts for Different Questions
Visualizing Trends, Comparisons, and Relationships
Chart Titles, Labels, Scales, and Annotations
Color, Readability, and Accessibility
Avoiding Misleading Visualizations
Dashboard Layout and Information Hierarchy
Data Storytelling and Presenting Insights
Power BI / Tableau
Build interactive dashboards in Power BI and Tableau — link sources, prepare data, model relationships, calculate measures and add actions. You validate totals against source data and publish labelled reports for your portfolio.
A dashboard is only trusted when its numbers tie out, so reconciliation is part of the build.
Topics Covered
Introduction to Power BI and Tableau
Connecting and Preparing Data Sources
Data Relationships and Modeling Concepts
Power Query and DAX Fundamentals
Tableau Calculated Fields and Parameters
Filters, Slicers, and Dashboard Interactions
KPI Reporting and Dashboard Validation
Publishing, Sharing, and Access Concepts
Business Analytics
From an unclear issue such as slowing admissions to a question data can answer — KPIs, comparison periods and segments. Cases demonstrate suggesting action while being candid about what the numbers cannot establish.
Asking the right question comes first, because it decides whether the analysis is useful.
Topics Covered
Defining Business Problems and Analytical Questions
Selecting KPIs and Performance Measures
Sales, Revenue, and Profitability Analysis
Customer Segmentation and Behavior Analysis
Operational Performance and Efficiency
Trend Analysis and Business Comparisons
Evaluating Findings and Recommending Actions
Communicating Insights to Stakeholders
Live Projects
Full projects on real data combining all skills — preparation, exploration, analysis, visualisation and reporting. Mentor reviews sharpen accuracy and presentation, and finished projects anchor your portfolio.
Interviewers focus on these projects, so each concludes with a short write-up you can defend.
Topics Covered
Understanding Project Briefs and Business Objectives
Selecting Relevant Datasets and Tools
Data Cleaning and Exploratory Analysis
Applying Excel, SQL, Python, and BI Skills
Dashboard and Analytical Report Development
Validating Results and Documenting Assumptions
Presenting Findings and Recommendations
Project Case Studies and Portfolio Development
Resume & Interview Prep
A professional story for your skills — a clear resume, concrete project write-ups and a consistent LinkedIn profile. Mock interviews draw on technical questions, business cases and your own projects, so replies reflect genuine work.
You leave with application material that proves ability rather than listing course names.
Topics Covered
Resume Structure and ATS-Friendly Formatting
Writing Clear Skills and Project Descriptions
Tailoring Applications to Job Requirements
LinkedIn Profile and Portfolio Presentation
Excel, SQL, Python, and BI Interview Questions
Business Cases and Analytical Problem-Solving
Mock Interviews and Project Walkthroughs
Professional Communication and Interview Etiquette
Selecting the Analytics Certification for Model Town
Measure the three Model Town programmes by depth, tools and fee, then pick the one that fits your decision-making goal.
ANALYTICS EDGE WITH AI
The starting programme for Model Town beginners. Excel, SQL and Power BI with AI-assisted analysis, for learners who want usable analyst skills quickly at the lowest fee.
AI-Powered Analytics and Insights Mastery
The full programme. Analytics Edge plus Python, Tableau, statistics and live projects, for learners who want the widest portfolio and the strongest placement backing.
Customized Data Analytics Program
A flexible choice for working learners or a defined aim. Modules and timings are fixed after a counselling session at the centre.
Finding the Certification That Fits Model Town Learners
Three options for Model Town learners — compare fee, tools and depth, then decide.
ANALYTICS EDGE WITH AI
- Introduction to Data Analytics
- Advanced Excel for Data Analysis
- SQL Fundamentals & Database Concepts
- Data Visualization Basics
- Business Reporting
- Live projects + assignments
- AI tools + automation
- Internship certificate
- Placement assistance
AI-Powered Analytics and Insights Mastery
- Advanced Excel
- SQL Queries, Joins & Database Management
- Power BI Dashboard Development
- Live projects + assignments
- AI-Powered Reporting & Automation
- AI Tools (ChatGPT, Copilot & Gemini)
- Internship certificate
- Placement assistance
Customized Data Analytics Program
- Personalized Learning Path
- Excel, SQL, Power BI & Python Training
- Excel, SQL, Power BI & Python Training
AI Tools & Automation - Live projects + assignments
- AI tools + automation
- Internship certificate
- Placement assistance
Model Town’s 6-Month Analytics Journey, Month by Month
The Model Town batch moves through this month-wise plan, from basic ideas to a capstone worth presenting.
MONTH 1
Foundations. Analytics essentials, Excel, collecting and cleaning data, plus basic statistics and visualisation — accessible even without a technical background.
Month 2
SQL. Querying, filtering and handling database records, with joins, aggregates and database concepts, applied to inventory and admissions data.
MONTH 3
Power BI. Interactive dashboards and reports, covering modelling, Power Query, DAX basics and visualisation techniques.
MONTH 4
Python. Faster analysis with NumPy and Pandas — cleaning, reshaping and exploring data (EDA) inside notebooks.
MONTH 5
Machine learning basics. Regression, classification, clustering and model judgement — the principles behind prediction.
MONTH 6
Capstone projects. Industry-standard work across Excel, SQL, Power BI, Python and machine learning, ready to present to employers.
30+ Analytics Tools Practised on Real Business Data in Model Town
A decision-maker pays for clarity, not tool names. Every tool here is learned through a business task: explain an inventory pile-up, compare admission trends, or build a dashboard a showroom owner can use.
Why Model Town Learners Pick DSSD for Analytics
Model Town learners choose DSSD for three solid reasons: mentors who have practised analytics in business, not only taught it; live projects that become a portfolio decision-makers can inspect; and placement help that goes on after classes end — CV work, interview rounds and new openings. Clear fees with EMI and weekday batches with backup classes keep the course feasible beside studies or a job.
| Feature | Other Institutes | DSSD |
|---|---|---|
| AI Training | ×No | ✔Yes |
| Live Projects | ×Limited | ✔Real-Time Projects |
| Placements | ×Average | ✔100% Assistance |
| Certifications | ×Basic | ✔Industry Recognized |
| Support | ×Limited | ✔Dedicated Mentorship |
| Classes | ×Fixed | ✔Flexible Batches |
| Practical Learning | ×Theory Based | ✔Hands-On Training |
| Career Growth | ×Slow | ✔Job-Ready Skills |
The Learning Journey, Month by Month
Each month follows one pattern: grasp a tool, use it on genuine business records, take mentor notes, and save the output in your portfolio. In the last month you are not revising notes — you are presenting work and preparing for interviews.
Career Support That Opens Doors
Placement support at DSSD guides your entire entry into work. Resume Building shapes a CV around projects and tools, so employers notice proof rather than a course label. Interview Prep practises the questions analytics interviews genuinely ask, answered with your project examples. Mock Interviews mirror real panels, Job Updates highlight fresh roles, Internship Help opens workplace doors, and Portfolio Review sharpens the work you display. Support remains until you are placed.
Resume Building
Interview Prep
Mock Interviews
Job Updates
Internship Help
Portfolio Review
Portfolio First, Applications Second
Employers shortlist analysts on proof of work. This course is therefore built around deliverables: Power BI and Tableau dashboards, Python and SQL reports, and case studies you can explain to a business owner. Finish the portfolio, then apply — it separates a certificate from a callback.
Forthcoming Batches for the Analytics Course
Join DSSD’s AI-Powered Data Analytics Course in Model Town and build decision-ready skills with modern tools, live projects and career-focused training.
| Batch | Training | Next Batch | Duration | FEES | ACTION |
|---|---|---|---|---|---|
|
Weekday Batch |
130 Hrs Training + 10 Hrs Backup Classes |
Starting Soon |
20 Weeks |
Program Fee: INR 35,000/- EMI available |
|
|
Weekday Batch |
130 Hrs Training + 10 Hrs Backup Classes |
Starting Soon |
20 Weeks |
Program Fee: INR 35,000/- EMI available |
|
|
Weekday Batch |
130 Hrs Training + 10 Hrs Backup Classes |
Starting Soon |
20 Weeks |
Program Fee: INR 35,000/- EMI available |
Seats are limited. Enquire now for full details of the AI-Powered Data Analytics Course in Model Town.
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DSSD Institute — Training Location
1st Floor, H-17/253, opposite Metro Pillar Number 423,
near Rohini West Metro Station, New Delhi 110085
Begin Your Business Analytics Journey from Model Town
Weekday batches fill fast and seats are few. Book a free demo class to meet mentors, attend a live lesson and look over the syllabus before enrolling.
Common Questions, Clear Answers
Excel, SQL, Python, Power BI, Tableau, data cleaning, statistics, visualisation and business analytics, plus machine learning fundamentals — learned through live projects on real business data.
Analytics Edge with AI costs ₹25,000 and AI-Powered Analytics and Insights Mastery costs ₹35,000, with EMI available. A customised programme is priced after counselling, depending on modules chosen.
The programme lasts 6 months (20 weeks), with 130+ training hours plus 10 hours of backup classes. Batches run on weekdays.
Visit the DSSD centre near Rohini West Metro Station, Sector 7, Rohini, call 9811128610, or book a free demo class from this page. An admission fee applies when you enrol.
No. The course begins with Excel and statistics fundamentals, so any stream can join. Basic computer comfort is enough.
The durable skills are data storytelling, AI-assisted analysis, dashboard work and business problem-solving. These survive tool changes because they are about reasoning with data, not a particular software version.
Weekday classes run at the DSSD centre, with live mentors and backup sessions available. Exact timings and the next batch date are shared on enquiry.
Post-training, you get resume building, portfolio review, mock interviews and job updates for analyst and MIS roles. Support stays with you through the search until you are placed.
A course completion certificate, plus 30+ certification modules across the tools you learn. Certificates are awarded on completion of the modules and projects.
Roles open to you include data analyst, business analyst, MIS executive and reporting analyst at Delhi NCR companies. Shortlisting in these roles runs on portfolios of dashboards and case studies, which this course builds.