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 Gurgaon | Data Analytics Training in Gurgaon
The Data Analytics Course in Gurgaon by Ascents Learning is a practical program that teaches how to turn raw data into clear reports, dashboards, and business insights. The course focuses on real analytics tasks: cleaning data, writing SQL queries, building dashboards in Power BI / Tableau, and presenting findings in a way that decision-makers understand.
This Data Analytics Training in Gurgaon is built for students, freshers, working professionals, and career switchers. If you’re starting from zero, the learning path is step-by-step. If you already work with Excel reports or MIS dashboards, the course helps you level up with SQL, BI tools, and stronger analytics thinking.
By the end of the Data Analytics Course in Gurgaon with Placement support, learners typically finish with a portfolio (SQL tasks, dashboards, and a capstone project) and structured interview preparation. The outcome is simple: you should be able to handle common data analyst work—end to end—without relying on templates.
Course Overview
The Data Analytics Course in Gurgaon at Ascents Learning covers the analytics workflow used in most teams across tech, consulting, operations, and finance-style reporting. Instead of only teaching tools, it teaches how analysts work:
- Understand the business question (KPIs, targets, trends)
- Collect and clean data (Excel/Power Query basics)
- Query structured data using SQL
- Analyze patterns and exceptions (basic stats + logic)
- Build dashboards using Power BI or Tableau
- Communicate insights with clear next steps
This Data Analytics Training in Gurgaon is designed around practice-heavy sessions, weekly assignments, and project work so learners build proof of skill—not just course completion.
Who Should Enroll
This Data Analytics Course in Gurgaon is a good fit for:
- Students (UG/PG): building job-ready skills and a portfolio for placements
- Freshers: targeting roles like data analyst, reporting analyst, MIS analyst, or BI analyst (entry level)
- Working professionals: in operations, sales, HR, finance, customer support, supply chain, marketing, or admin roles who want stronger reporting and dashboard skills
- Career switchers: moving into analytics from non-tech backgrounds with a structured roadmap
You’ll benefit most if you want:
- A guided learning sequence (Excel → SQL → BI dashboards)
- Practice with real datasets and business case tasks
- Help building projects that match interview expectations
If you’re comparing options for the Best Data Analytics Training Institute in Gurgaon, focus on three things: SQL depth, dashboard project quality, and feedback/review support. Those three usually decide how job-ready you feel.
Learning Outcomes
Work confidently with data
- Clean messy datasets (duplicates, missing values, inconsistent formats)
- Create a basic data preparation flow (repeatable steps)
Use Excel for analysis and reporting
- Pivot Tables and Pivot Charts
- XLOOKUP / VLOOKUP, IF logic, SUMIFS/COUNTIFS
- Basic charting and KPI reporting
- Power Query concepts (where included)
Use SQL for analysis
- SELECT, WHERE, ORDER BY, GROUP BY, HAVING
- JOINs (INNER/LEFT), aggregations, filtering logic
- Basic subqueries and reporting-style outputs
Build dashboards in BI tools
- Dashboard design with Power BI or Tableau
- KPI cards, filters/slicers, drilldowns, trend visuals
- Basic data modeling concepts (relationships)
- DAX foundations (measures, calculated columns) in Power BI (as per module plan)
Communicate insights like an analyst
- Explain what changed and why it matters
- Summarize insights for stakeholders in simple language
- Present recommendations backed by numbers
Most learners looking for a Data Analytics Course in Gurgaon with Placement want proof of skill. The program aims to produce that proof through projects and a capstone.
Teaching Methodology
Ascents Learning runs the Data Analytics Course in Gurgaon with a practical-first approach.
How training is delivered:
- Instructor-led sessions with live demonstrations
- Guided hands-on labs in every module
- Weekly assignments with checkpoints
- Mini-projects after key topics (Excel + SQL + dashboards)
- Capstone project with mentor review
- Doubt-solving support and revision sessions
- Interview-focused practice (SQL questions, dashboard walkthroughs, case-style problems)
The idea is to keep learning close to real workplace tasks. For example: you might be asked to build a monthly performance dashboard, explain a drop in conversion, or write an SQL query that matches a business requirement.
Tools & Technologies Covered
Spreadsheets
- Microsoft Excel (Pivot Tables, charts, Lookups, conditional formatting, data cleaning workflows)
- Google Sheets basics (where relevant)
Databases and querying
- SQL fundamentals (joins, aggregations, filters, reporting queries)
Business intelligence and visualization
- Microsoft Power BI (data modeling basics, DAX foundations, dashboard design)
- Tableau (charts, filters, dashboard building concepts)
Analytics and reporting skills
- Data cleaning and preparation
- Exploratory analysis (EDA basics)
- KPI design and reporting
- Dashboard storytelling and stakeholder communication
Optional (batch dependent): Python for data analytics basics (pandas, NumPy, Jupyter Notebook).
If your goal is to become interview-ready in Gurgaon’s job market, the best mix is usually Excel + SQL + Power BI with project work.
Certification & Industry Recognition
On completion of the Data Analytics Course in Gurgaon, learners receive:
- Course completion certificate from Ascents Learning
- Capstone/project completion proof for portfolio and LinkedIn
- Internship/experience letter support may be available depending on the batch structure and project model
In hiring, certificates matter less than your ability to explain your work. This course is structured so you can talk confidently about your SQL approach, dashboard design, and insights.
Career Opportunities After Completion
After completing the Data Analytics Course in Gurgaon with Placement support, learners typically target roles such as:
- Junior Data Analyst / Associate Data Analyst
- Reporting Analyst / MIS Analyst
- BI Analyst (Entry Level) / Power BI Developer (Junior)
- Operations Analyst
- Marketing Analyst (campaign and performance reporting)
- Product Analyst (metrics tracking basics)
- Business Analyst (analytics-focused roles)
What employers usually test:
- SQL logic (joins, grouping, filtering, query clarity)
- Excel speed and accuracy (pivots, lookups, cleaning)
- Dashboard sense (KPIs, filters, layout, interpretation)
- Communication (explaining insights without jargon)
Gurgaon (Gurugram) has strong demand for reporting and BI roles across startups, services firms, MNCs, consulting, fintech, e-commerce, and operations-heavy teams—especially candidates who can deliver dashboards and clean reporting.
Why Choose Ascents Learning
If you’re shortlisting the Best Data Analytics Training Institute in Gurgaon, here’s what typically makes training actually useful on the job.
Practical training with real projects
- Hands-on learning with business-style datasets
- Weekly assignments and mini-projects
- A capstone project designed to be portfolio-ready
Mentorship and review
- Mentor-led project reviews (so your work improves, not just submitted)
- Doubt clearing support to avoid getting stuck on basics
Career and placement support
For learners searching for a Data Analytics Course in Gurgaon with Placement, Ascents Learning supports career readiness through:
- Resume + LinkedIn + portfolio guidance
- Mock interviews and HR/technical interview practice
- Career counseling and job role mapping
- Interview opportunities through partner networks as per eligibility and readiness
Flexible learning options
- Online/offline/hybrid options (as available)
- Weekday/weekend batches
- Recorded session support (where applicable)
Ascents Learning keeps the focus on one thing: helping learners produce analyst-level work they can show in interviews.
If you’re looking for a practical Data Analytics Course in Gurgaon with real projects and structured career support,
connect with Ascents Learning for the latest batch schedule and course roadmap.
Curriculum
- 61 Sections
- 242 Lessons
- 20 Weeks
- Module 1: Excel Basics for BeginnersTools Covered: Microsoft Excel (All Versions)4
- 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





