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 Ghaziabad | Data Analytics Training in Ghaziabad
Ascents Learning offers a Data Analytics Course in Ghaziabad focused on the skills employers actually test:
Excel analysis, SQL querying, dashboarding in Power BI/Tableau, and clear business reporting. The course is built
around hands-on practice, not long theory sessions.
This Data Analytics Training in Ghaziabad is designed for students, freshers, working professionals, and career switchers
who want a structured path into analytics roles. Whether you’re starting from scratch or you already work with reports and want stronger skills,
the learning plan stays practical and job-aligned.
By the end, you should be able to take a dataset, clean it, analyze it, build a dashboard, and explain insights in a way that makes sense to a manager.
If you’re looking for a Data Analytics Course in Ghaziabad with Placement, Ascents Learning also provides career support like resume prep,
mock interviews, and project portfolio guidance.
Course Overview
The Data Analytics Course in Ghaziabad at Ascents Learning teaches end-to-end analytics workflow—from raw data to decisions.
You learn how analysts work in real teams: define a question, prepare data, analyze patterns, visualize results, and present recommendations.
What you’ll do during the course:
- Work on datasets like sales, customer, marketing, operations, and finance-style reports
- Build KPI dashboards that match real reporting expectations
- Use SQL to answer business questions and create clean data pulls
- Create a capstone project that can be used in interviews
This Data Analytics Training in Ghaziabad is designed so you don’t just learn tools—you learn how to apply them in a way
that looks professional in a job setting.
Who Should Enroll
This Data Analytics Course in Ghaziabad is a strong fit for:
- Students: who want a job-focused skill and a portfolio to show
- Freshers: applying for entry-level analyst, MIS, reporting, or BI roles
- Working professionals: in operations, sales, HR, finance, support, or marketing who want to upgrade reporting skills
- Career switchers: moving from non-tech or support roles into analytics
You’ll benefit most if you:
- Want a structured learning plan instead of random tutorials
- Are ready to practice regularly (assignments matter in analytics)
- Want to build projects that match common interview tasks
If you’re comparing options for the Best Data Analytics Training Institute in Ghaziabad, pay attention to project depth,
SQL coverage, dashboard practice, and review support—this is where most courses fall short.
Learning Outcomes
After completing the Data Analytics Training in Ghaziabad, learners typically become confident in:
- Cleaning and organizing messy datasets (duplicates, missing values, formatting issues)
- Using Microsoft Excel for analysis and reporting:
- Pivot Tables, Lookups (VLOOKUP/XLOOKUP), charts, conditional formatting
- Basic Power Query-style cleaning (where included)
- Writing SQL queries for analysis:
- SELECT, WHERE, JOIN, GROUP BY, HAVING, ORDER BY, subqueries (foundation level)
- Building dashboards in Power BI or Tableau:
- KPI cards, filters/slicers, drilldowns, trend visuals
- Applying basic statistics used in business reporting (averages, percent change, distributions, correlation basics)
- Communicating insights clearly (what changed, why it matters, and what to do next)
- Creating a portfolio (SQL tasks + dashboards + capstone project)
This is the outcome most learners expect when they search for a Data Analytics Course in Ghaziabad with Placement—skills plus proof of work.
Teaching Methodology
Ascents Learning keeps the training practical so learners build confidence through repetition and real tasks.
How the Data Analytics Course in Ghaziabad is taught:
- Instructor-led sessions with guided examples
- Hands-on lab practice in every module
- Weekly assignments with feedback
- Mini-projects for Excel, SQL, and dashboards
- Capstone project with mentor review
- Doubt-clearing support (so you don’t get stuck for days)
- Revision sessions and interview-oriented practice (based on batch structure)
This approach works well for beginners and career switchers because it builds skill in layers—Excel → SQL → dashboards → storytelling.
Tools & Technologies Covered
The Data Analytics Course in Ghaziabad covers a toolkit commonly used across analytics teams.
Spreadsheets
- Microsoft Excel (Pivot Tables, charts, Lookups, data cleaning)
- Google Sheets basics (where required)
Databases
- SQL fundamentals (queries, joins, aggregations)
BI & Visualization
- Microsoft Power BI (data modeling basics, DAX foundations, dashboard design)
- Tableau (core dashboard concepts, charts, filters)
Analytics Workflow
- Data cleaning and preparation
- Exploratory Data Analysis (EDA)
- KPI tracking and business reporting
- Dashboard storytelling and stakeholder communication
Optional add-on (batch dependent): Python for analytics basics (pandas, NumPy, Jupyter) for learners who want it.
If you’re choosing the Best Data Analytics Training Institute in Ghaziabad, confirm you’re getting strong SQL + dashboard practice—those two drive most hiring decisions.
Certification & Industry Recognition
On successful completion of the Data Analytics Training in Ghaziabad, you receive:
- Course completion certificate from Ascents Learning
- Project/capstone documentation you can add to LinkedIn and your resume
- Internship/experience documentation may be available depending on the batch project model
In most interviews, the certificate is secondary. Hiring managers care more about whether you can explain your SQL logic, dashboard choices, and project outcomes clearly.
Career Opportunities After Completion
After completing the Data Analytics Course in Ghaziabad with Placement support, learners usually apply for 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)
- Business Analyst (analytics-heavy roles)
What companies commonly test:
- SQL query logic (joins, groupings, filters)
- Excel problem-solving speed (pivots, lookups, clean-up)
- Dashboard thinking (KPIs, visuals, filtering, insights)
- Communication (turning numbers into decisions)
Ghaziabad also benefits from nearby NCR hiring activity, where many companies recruit for reporting and BI-heavy roles.
Why Choose Ascents Learning
If you’re comparing the Best Data Analytics Training Institute in Ghaziabad, here’s what usually matters in real outcomes.
1) Practical, job-aligned curriculum
- Focus on Excel + SQL + Power BI/Tableau + reporting
- Real datasets and case-style assignments
2) Project-driven learning
- Mini-projects after each major module
- Capstone project designed to be interview-ready
3) Mentorship and support
- Doubt clearing and structured review
- Feedback on dashboards and SQL tasks (where included)
4) Career support (placement assistance)
If you’re specifically looking for a Data Analytics Course in Ghaziabad with Placement, Ascents Learning supports learners with:
- Resume + LinkedIn + portfolio guidance
- Mock interviews and interview question prep
- Career counseling and job role mapping
- Interview referrals for eligible, job-ready learners (based on performance/readiness)
5) Flexible learning formats
- Weekday/weekend options
- Online/offline/hybrid modes (as available)
- Recorded sessions support (as applicable)
The goal is simple: you should finish with skills you can demonstrate, not just course completion.
If you want a practical Data Analytics Course in Ghaziabad with real projects and structured career support,
reach out to Ascents Learning for the latest batch schedule and course roadmap.
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





