Requirements
- Basic 12th pass or equivalent education (any stream)
- Comfortable with using a computer and the internet
- Basic math skills (like percentages, averages, and simple statistics)
- Willingness to learn tools like Excel, SQL, Power BI, and Python
- Curiosity for data and problem-solving mindset
- No prior programming experience needed (if beginners course)
- Laptop or desktop with good internet connection for online learning
Features
- Live Project-Based Training
- Expert-Led Sessions
- Flexible Learning Options
- Interactive Learning
- Smart Labs with Advanced Equipment
- Unlimited Lab Access
- Comprehensive Study Material
- Globally Recognized Certification
- One-on-One Mentorship
- Career Readiness
- Job Assistance
Target audiences
- Students after 12th and college learners looking for job-oriented skills
- Fresh graduates from any stream (Commerce, Science, Arts, IT, Management)
- Working professionals seeking career growth and salary improvement
- IT professionals planning to move into analytics and business roles
- Non-technical background learners entering the tech industry
- Career switchers looking for high-demand job opportunities
- MBA students and management professionals enhancing decision-making skills
- Entrepreneurs and business owners using data for business growth
- Job seekers preparing for placements and interviews
- Freelancers and remote job aspirants building analytics portfolios
Data Analytics Course in Delhi with Placement | Data Analytics Training in Delhi
Ascents Learning offers a Data Analytics Course in Delhi designed to teach practical, job-ready analytics skills—how to clean data, write SQL queries, build dashboards, and explain insights in plain business language. This is not a theory-heavy program. It’s structured around hands-on practice with tools companies actually use.
This Data Analytics Training in Delhi is a fit for students, freshers, working professionals, and career switchers who want a clear path into analytics roles. You don’t need a coding background to start, but you should be comfortable working with numbers and learning step-by-step.
By the end, learners typically finish with a portfolio that includes dashboards, SQL case studies, and one capstone project—plus structured career support for interview prep. If you’re specifically searching for a Data Analytics Course in Delhi with Placement, this page explains what placement support looks like and what outcomes to expect.
Course Overview
The Data Analytics Course in Delhi at Ascents Learning focuses on the full analytics workflow: understanding a business question, collecting and cleaning data, analyzing it, visualizing results, and communicating decisions.
What you’ll work on during the program:
- Real datasets (sales, marketing, operations, HR, finance-style examples)
- KPI tracking and reporting (weekly/monthly performance)
- SQL-based analysis (filters, joins, aggregations, window functions basics)
- Dashboard building for stakeholders (Power BI / Tableau style reporting)
- A capstone project you can show in interviews
This Data Analytics Training in Delhi is delivered with a practical pace—enough structure for beginners, enough depth for professionals who want stronger analytics output at work.
Who Should Enroll
This Data Analytics Course in Delhi is built for:
- Students (UG/PG): wanting a job-focused skill with portfolio projects
- Freshers: aiming for entry-level data analyst, MIS, or reporting roles
- Working professionals: who handle reporting, operations, finance, marketing, or product work and want stronger analytics
- Career switchers: moving from non-tech roles into analytics with a clear learning path
You’ll fit in well if you:
- Like working with data and patterns
- Want to learn Excel + SQL + dashboards properly
- Need a structured plan, not random tutorials
Learning Outcomes
After completing the Data Analytics Course in Delhi with Placement support at Ascents Learning, learners typically gain the ability to:
- Clean and organize raw datasets (missing values, duplicates, formatting issues)
- Use Excel for analysis (Pivot Tables, Lookups, charts, basic automation ideas)
- Write SQL queries for reporting and analysis (SELECT, JOIN, GROUP BY, subqueries)
- Build dashboards in Power BI / Tableau (KPIs, filters, drilldowns, trend lines)
- Apply basic statistics used in business analysis (averages, variance, correlation basics)
- Present insights clearly (problem → approach → findings → recommendation)
- Create a portfolio with projects that match real interview expectations
Teaching Methodology
Ascents Learning keeps the training practical and structured, which matters a lot if you’re choosing the Best Data Analytics Training Institute in Delhi for outcomes—not just lectures.
How training is delivered:
- Instructor-led sessions with guided demos
- Hands-on labs in every module (you practice as you learn)
- Weekly assignments and review checkpoints
- Mini-projects that mirror workplace tasks (reporting, dashboards, SQL analysis)
- Capstone project with mentor feedback
- Doubt-clearing support and revision sessions
- Options for weekday/weekend batches (online/offline/hybrid availability may vary)
In short: this Data Analytics Training in Delhi is built around doing the work, not just watching someone else do it.
Tools & Technologies Covered
The Data Analytics Course in Delhi covers tools and skills that show up in most analytics job descriptions:
Spreadsheets & reporting
- Microsoft Excel (Pivot Tables, Power Query basics, charts, data cleaning)
- Google Sheets basics (where relevant)
Databases
- SQL fundamentals (queries, joins, aggregations, views basics)
BI & visualization
- Microsoft Power BI (data modeling basics, DAX fundamentals, dashboard design)
- Tableau basics (dashboarding concepts and best practices)
Optional/extended (based on batch plan)
- Python basics for analytics (pandas, NumPy, Jupyter) for learners who want it
- Data cleaning and basic automation workflows
Core analytics skills
- Data cleaning, EDA (exploratory analysis), KPI design
- Dashboard storytelling and stakeholder communication
- Business case thinking (why a metric matters, not just how to calculate it)
Certification & Industry Recognition
After completing the program, you receive:
- Course completion certificate from Ascents Learning
- Project / capstone completion proof (useful for LinkedIn and interviews)
- Internship/experience documentation may be available depending on the batch structure and project model
This is designed to support employability: recruiters usually care less about a certificate logo and more about whether you can explain your projects, your SQL logic, and your dashboards confidently.
Career Opportunities After Completion
Learners who complete the Data Analytics Course in Delhi with Placement support typically target roles such as:
- Data Analyst (Junior / Associate)
- Business Analyst (Analytics-focused)
- BI Analyst / Power BI Developer (Entry level)
- Reporting Analyst / MIS Analyst
- Operations Analyst
- Marketing Analyst (performance and funnel reporting)
- Product Analyst (metrics tracking basics)
What employers commonly test in interviews:
- SQL query building and clarity of logic
- Excel problem-solving speed (Pivots, Lookups, data cleaning)
- Dashboard sense (KPIs, layout, filters, interpretations)
- Ability to explain insights and recommendations
Delhi and NCR markets hire heavily for reporting + BI + SQL-heavy analyst roles across services, e-commerce, logistics, fintech, healthcare, and agencies.
Why Choose Ascents Learning
If you’re comparing options for the Best Data Analytics Training Institute in Delhi, these are practical points that usually matter more than brochure promises:
1) Practical-first training
- Every topic is tied to tasks you’ll do in a real analyst job
- Live projects and case-style assignments keep the learning grounded
2) Mentorship and review
- Mentor feedback on assignments and capstone
- 1:1 doubt support (structure depends on batch)
3) Career and placement support
For learners looking for a Data Analytics Course in Delhi with Placement, Ascents Learning provides structured career support such as:
- Resume + LinkedIn + project portfolio guidance
- Mock interviews and interview question practice
- Job role mapping (what to apply for based on your background)
- Interview referrals may be shared for eligible and job-ready learners through partner networks
4) Flexible learning options
- Weekday/weekend batch options
- Online/offline/hybrid modes (as available)
- Recorded session access support (where applicable)
5) Clear skill outcomes
The goal is simple: you should be able to do analyst work end-to-end—SQL + dashboards + clear insight communication—without guessing what to learn next.
If you’re evaluating a Data Analytics Course in Delhi and want a practical syllabus with project work and career support, connect with Ascents Learning for batch details and the learning plan.
Curriculum
- 61 Sections
- 241 Lessons
- 20 Weeks
- Module 1: Excel Basics for BeginnersTools Covered: Microsoft Excel (All Versions)3
- Module 2: Data Entry, Cleaning, and FormattingTools Covered: Excel Formatting, Data Cleaning Tools4
- Module 3: Working with Formulas and FunctionsTools Covered: Excel Formulas, Logical and Lookup Functions4
- Module 4: Data Visualization with Charts and GraphsTools Covered: Excel Charts and Graphs1
- Module 5: Data Analysis with Pivot Tables and Pivot ChartsTools Covered: Excel Pivot Tables and Pivot Charts4
- Module 6: Advanced Excel Functions for Data AnalysisTools Covered: Excel Advanced Formulas and Functions1
- Module 7: Power Query and Power Pivot for Data ModelingTools Covered: Power Query, Power Pivot4
- Module 8: Working with Large Datasets and Advanced Excel ToolsTools Covered: Excel Data Management3
- Module 9: Excel for Business Intelligence and ReportingTools Covered: Power BI, Excel Dashboards2
- Module 10: Projects and Interview PreparationTools Covered: Excel, Power Query, Power Pivot2
- Module 11: Introduction to Databases and SQLTools Covered: MySQL, Microsoft SQL Server, PostgreSQL3
- Module 12: SQL Basics – Writing QueriesTools Covered: SQL Query Editor, MySQL Workbench, SSMS4
- Module 13: Advanced Data Retrieval and FilteringTools Covered: SQL Querying Tools3
- Module 14: Aggregations and Grouping DataTools Covered: SQL Functions and Queries4
- Module 15: Working with Joins and RelationshipsTools Covered: SQL Joins and Relationships4
- Module 16: Advanced SQL for Data AnalysisTools Covered: SQL Advanced Queries4
- Module 17: SQL Performance Optimization and IndexingTools Covered: SQL Server / MySQL Performance Tools4
- Module 18: SQL for Data Analysis and ReportingTools Covered: SQL Reporting and Visualization1
- Module 19: Real-World Projects and Interview PreparationTools Covered: SQL, Power BI, Excel2
- Module 20: Introduction to Python12
- Module 21: Python Variables & Data Types5
- Module 22: Operators in Python7
- Module 23: Conditional Statements in Python2
- Module 24: Looping in Python5
- Module 25 Working with Numbers in Python3
- Module 26: Working with Strings in Python2
- Module 27: Working with Lists in Python3
- Module 28: Working with Tuples in Python1
- Module 29: Working with Dictionaries in Python1
- Module 30: Working with Sets in Python2
- Module 31: Date & Time Handling in Python2
- Module 32: Functions in Python4
- Module 33: Working with Modules in Python4
- Module 34: File Handling in Python (I/O Operations)4
- Module 35: Exception Handling in Python6
- Module 36: Object-Oriented Programming (OOP) in Python3
- Module 37: Introduction to Anaconda DistributionPython Modules Curriculum Pandas, Numpy, Matplotlib and Seaborn4
- Module 38: Using Git and GitHub🛠 Tools Covered: Git, GitHub4
- Module 39: Introduction to NumPy & Statistical AnalysisTools Covered: NumPy, Python7
- Module 40: Introduction to Pandas & Data AnalysisTools Covered: Pandas, Python6
- Module 41: Statistics and ProbabilityConcepts Covered: Statistical Analysis, Probability Theory6
- Module 42: Data Visualization using MatplotlibTools Covered: Matplotlib, Python5
- Module 43: Data Visualization using SeabornTools Covered: Seaborn, Python4
- Module 44: Project & Interview PreparationProjects, Career Guidance & Resume Building4
- Module 45: Quick Start with Power BI ServicePower BI Course Curriculum (Beginner to Advanced) | Tools Covered: Power BI Service, Power BI Desktop5
- Module 46: Getting and Transforming Data with Power BI DesktopTools Covered: Power BI Desktop, Power Query Editor3
- Module 47: Data Modeling in Power BITools Covered: Power BI Desktop4
- Module 48: Data Visualization in Power BITools Covered: Power BI Desktop14
- Module 49: Power BI Service Visualization ToolsTools Covered: Power BI Service3
- Module 50: Publishing and Sharing ReportsTools Covered: Power BI Service, Power BI Desktop12
- Module 51: Data Refresh and Gateway SetupTools Covered: Power BI Service, On-Premises Gateway4
- Module 52: Power BI and Excel IntegrationTools Covered: Power BI Desktop, Power BI Service, Excel3
- Module 53: Power BI Projects and Interview PreparationTools Covered: Power BI Desktop, Power BI Service3
- Module 54: Introduction to Tableau and BI ConceptsTableau Mastery (Optional**): Data Visualization and Business Intelligence4
- Module 55: Connecting and Managing Data Sources4
- Module 56: Saving and Publishing Workbooks3
- Module 57: Core Data Visualization Techniques3
- Module 58: Creating Effective VisualizationsBuilding Various Chart Types:5
- Module 59: Advanced Features and Analytics4
- Module 60: Tableau Server and Collaboration2
- Module 61: Project Work and Interview PreparationNote- Students can choose Power BI or Tableau. Opting for both may result in a revised fee structure. Contact us for details.2





