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 | Data Analytics Training
The Data Analytics Course by Ascents Learning is a practical program that teaches how to collect, clean, analyze,
and present data for business decisions. You learn the core workflow used in most analyst roles: Excel-based reporting, SQL querying, dashboard building, and basic analytics reasoning.
This Data Analytics Training is designed for students, freshers, working professionals, and career switchers.
If you’re starting from scratch, the learning path is structured and step-by-step. If you already work with reports or spreadsheets,the course helps you move beyond manual reporting into SQL-driven analysis and BI dashboards.
By the end, learners should be able to build a portfolio that includes dashboards, SQL analysis tasks, and a capstone project.
For learners looking for a Data Analytics Course with Placement support, Ascents Learning also provides interview preparation, resume/LinkedIn guidance, and portfolio review.
Course Overview
This Data Analytics Course covers the full analytics cycle—from raw data to business insight. The focus stays on real tasks
you’ll handle in an analyst job, not just tool demos.
What the course typically includes:
- Working with structured datasets (sales, customer, marketing, operations, finance-style reporting)
- Cleaning and preparing data for analysis
- Writing SQL queries for reporting and analysis
- Building dashboards using Power BI/Tableau concepts
- Presenting insights clearly (what happened, why it happened, what to do next)
- Capstone project based on a real business case
This Data Analytics Training is designed to help learners build repeatable skills that carry over to different industries.
Who Should Enroll
This Data Analytics Course is a good fit for:
- Students (UG/PG): who want a job-ready skill and a portfolio
- Freshers: targeting entry-level data analyst, MIS, reporting, or BI roles
- Working professionals: who deal with reporting, KPIs, or operational data and want better analysis skills
- Career switchers: moving into analytics from non-tech backgrounds
You’ll benefit most if you:
- Want a structured learning path instead of scattered tutorials
- Are willing to practice regularly (assignments matter in analytics)
- Want to build projects that look real on a resume
If you’re comparing providers for the Best Data Analytics Training, focus on project quality, SQL depth, and dashboard practice—those are the skills companies test.
Learning Outcomes
Work confidently with data
- Clean messy datasets (duplicates, missing values, inconsistent formats)
- Build a simple preparation process you can repeat
Use Excel for analysis and reporting
- Pivot Tables and Pivot Charts
- Lookups (XLOOKUP/VLOOKUP), IF logic, SUMIFS/COUNTIFS
- KPI reporting and charts
- Basic Power Query-style cleaning (where included)
Query data using SQL
- SELECT, WHERE, ORDER BY, GROUP BY, HAVING
- JOINs (INNER/LEFT) and aggregations
- Reporting-style outputs and basic subqueries
Build dashboards and reports
- KPI cards, trend charts, filters/slicers, drilldowns
- Dashboard layout and stakeholder-friendly reporting
- Power BI data modeling basics and DAX foundations (where included)
Communicate insights clearly
- Translate analysis into decisions and next steps
- Explain results without jargon
A strong Data Analytics Course with Placement support is not just about interviews—it’s about having work you can show.
This course is structured to help you produce that work.
Teaching Methodology
Ascents Learning runs this Data Analytics Course with a practical-first approach, so learners gain confidence through repeated hands-on work.
How the Data Analytics Training is delivered:
- Instructor-led sessions with guided demos
- Hands-on labs in every module
- Weekly assignments with review
- Mini-projects after major topics (Excel, SQL, dashboards)
- Capstone project with mentor feedback
- Doubt clearing support and revision sessions
- Interview-oriented practice (SQL questions, dashboard walkthroughs, case tasks)
Example of what practical means here: you might be asked to build a monthly KPI dashboard, explain why a metric dropped, and back it with SQL-based analysis.
Tools & Technologies Covered
Spreadsheets
- Microsoft Excel (Pivot Tables, charts, Lookups, conditional formatting)
- Google Sheets basics (where relevant)
Databases
- SQL fundamentals (MySQL/PostgreSQL-style concepts)
Business Intelligence (BI)
- Microsoft Power BI (data modeling basics, DAX foundations, dashboards)
- Tableau (dashboard concepts, filters, charts)
Analytics Skills
- Data cleaning and preparation
- Exploratory Data Analysis (EDA basics)
- KPI design and reporting
- Dashboard storytelling and stakeholder communication
Optional (batch dependent): Python for data analytics (pandas, NumPy, Jupyter Notebook).
Certification & Industry Recognition
On completion of the Data Analytics Course, learners receive:
- Course completion certificate from Ascents Learning
- Project/capstone documentation for portfolio and LinkedIn
- Internship/experience documentation may be available depending on the batch structure and project model
In hiring, the certificate is supportive—but your portfolio and your ability to explain your work usually matter more.
Career Opportunities After Completion
After completing this Data Analytics Course with Placement support, learners commonly apply for:
- Junior Data Analyst / Associate Data Analyst
- Reporting Analyst / MIS Analyst
- BI Analyst (Entry Level) / Power BI Developer (Junior)
- Operations Analyst
- Marketing Analyst (performance reporting)
- Product Analyst (metrics tracking basics)
- Business Analyst (analytics-focused roles)
What companies often test:
- SQL query logic (joins, filters, grouping)
- Excel problem solving (pivots, lookups, cleaning)
- Dashboard design and interpretation (KPIs, visuals, filters)
- Communication (turning data into decisions)
Why Choose Ascents Learning
If you’re searching for the Best Data Analytics Training, here are practical factors that usually drive real outcomes.
Practical, job-aligned learning
- Focus on Excel + SQL + dashboards, not just theory
- Real datasets and case-style assignments
Project-first structure
- Mini-projects throughout the course
- A capstone project designed to be portfolio-ready
Mentorship and feedback
- Doubt clearing support
- Project reviews and improvement guidance (as per batch structure)
Career support (placement assistance)
If you’re considering a Data Analytics Course with Placement, Ascents Learning supports job readiness through:
- Resume + LinkedIn + portfolio guidance
- Mock interviews and interview question practice
- Career counseling and job role mapping
- Interview opportunities through partner networks as per eligibility and readiness
Flexible learning options
- Weekday/weekend batches
- Online/offline/hybrid options (as available)
- Recorded session support (where applicable)
If you want a practical Data Analytics Course with real projects and structured career support,
connect with Ascents Learning for batch details and the course roadmap.
Call: +91-921-780-6888
Website: www.ascentslearning.com
Curriculum
- 61 Sections
- 242 Lessons
- 20 Weeks
Expand all sectionsCollapse all sections
- 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
FAQ
A Data Analytics Course teaches how to clean, analyze, and visualize data to support business decisions using tools like Excel, SQL, and BI dashboards.
Students, freshers, working professionals, and career switchers who want structured learning and job-relevant skills can join this Data Analytics Training.
No. You can start without coding. SQL is taught from basics, and Python (if included) is introduced as an applied analytics tool.
Most batches cover Excel, SQL, and Power BI/Tableau concepts. Some batches include Python basics (pandas, NumPy, Jupyter).
Yes. You’ll complete assignments, mini-projects, and a capstone project that you can use for your portfolio.
Ascents Learning provides placement support like resume help, mock interviews, and portfolio guidance. Interview opportunities may be shared for eligible, job-ready learners.
You can target roles like Junior Data Analyst, Reporting/MIS Analyst, BI Analyst (entry-level), Operations Analyst, and Marketing Analyst.
It depends on your background and practice time. Most learners become interview-ready after completing assignments, dashboards, and the capstone project.
Yes. You receive a course completion certificate from Ascents Learning and supporting project documentation.
Look for strong SQL coverage, dashboard projects, mentor feedback, and interview preparation. Those are the most common hiring filters.
