Practical spreadsheet work
Explore guided exercises using example business datasets and reporting questions.
DATA SCIENCE & ANALYTICSCURRICULUM PREVIEW
Data Analytics with Excel
Course fee: INR 15,000 + 18% GST (INR 2,700). Total including GST: INR 17,700.
Confirm exclusions, materials, assessments and payment options with admissions.
Learn Excel. Analyze Data. Make Better Decisions.
Excel Fundamentals · Data Cleaning · Formulas & Functions · PivotTables · Charts & Dashboards
From spreadsheet fundamentals to business reports and dashboards.
45 hourscourse duration
Contact admissionsupcoming batch
Confirm available delivery formatlearning mode
Course duration: 45 hours. Contact admissions for batch dates, daily timings and delivery arrangements.
Program Highlights
Step-by-step progression
Move from Excel basics through formulas, data preparation, PivotTables, charts, and dashboards.
Repeatable reporting
Learn concepts for organizing analysis and presenting recurring business summaries.
Career preparation
Build practical work samples and discuss reporting-role requirements.
Program Overview
Turn spreadsheet data into clear business reports
Learn Excel. Analyze data. Make better decisions.
Data Analytics with Excel introduces learners to spreadsheet-based reporting and business analysis. The course combines Excel fundamentals with formulas, data preparation, analytical techniques, PivotTables, charts, and dashboard development.
Practice exercises use realistic business scenarios inspired by sales, marketing, finance, inventory, HR, and business operations. Use the course to explore how to identify patterns, measure performance, and communicate findings clearly.
Basic computer knowledge is helpful; no previous data analytics experience is required. Confirm the detailed syllabus, Excel version, schedule, fees, delivery, and assessment plan with ECAREERPLUZ.
What you will learn
- Practise Excel analysis using workplace-style business scenarios.
- Build from spreadsheet fundamentals toward dashboard reporting.
- Explore ways to clean, organize, analyze, and summarize datasets.
- Use formulas and functions to support calculations and recurring reports.
- Develop sample work that can be documented in a portfolio.
- Explore career preparation for entry-level reporting and analytics roles.
Who should enroll?
College students and fresh graduates
Explore spreadsheet analysis and reporting foundations.
Job seekers
Practise Excel-based office reporting concepts and prepare examples of your work.
Accounting, administration, HR, and sales professionals
Explore spreadsheet techniques relevant to organizing and summarizing workplace information.
Business owners and entrepreneurs
Use sample reporting concepts to review business performance and operations.
Working professionals
Strengthen spreadsheet productivity and reporting skills through guided practice.
Eligibility
- Basic computer knowledge is helpful.
- No previous data analytics experience is required.
- Confirm the compatible Excel version, device requirements, and any required software access before enrolment.
Curriculum Preview
Suggested module-wise allocation in this course · 45-hour program.
Module 1: Excel Fundamentals · 5 hours
- Workbooks, worksheets, cells, rows, and columns
- Data entry, formatting, tables, and sorting
- Basic formulas and cell references
- Number formats, dates, and essential shortcuts
Module 2: Formulas and Functions · 8 hours
- SUM, AVERAGE, MIN, MAX, and COUNT
- IF, AND, OR, and nested logical formulas
- SUMIF, SUMIFS, COUNTIF, and COUNTIFS
- IFERROR, text functions, and date functions
- XLOOKUP, VLOOKUP, and INDEX-MATCH concepts
Module 3: Data Cleaning and Preparation · 6 hours
- Identify missing values and duplicate records
- Remove duplicates and correct inconsistencies
- Text to Columns, Flash Fill, and data validation
- Standardize formats and prepare datasets
Module 4: Data Analysis and PivotTables · 7 hours
- Filter and summarize business data
- Create PivotTables and PivotCharts
- Group data and use calculated fields
- Add slicers and interactive report filters
- Identify trends and performance variations
Module 5: Data Visualization · 5 hours
- Bar, column, line, pie, and combo charts
- Choose suitable charts for the data
- Use conditional formatting and KPI indicators
- Design professional reports and tell data stories
Module 6: Interactive Dashboards · 5 hours
- Plan dashboard layouts and KPI cards
- Connect PivotTables, charts, and slicers
- Create dynamic reports and management summaries
- Build a complete business dashboard
Module 7: Practical Projects and Assessment · 4 hours
- Analyze a business dataset
- Build a dashboard and prepare insights
- Present findings and receive trainer feedback
- Complete a practical skills assessment
The seven module allocations shown add up to 40 hours, while the course outline states a total duration of 45 hours. Confirm the final five-hour allocation, approved syllabus, assessment, and available Excel version with ECAREERPLUZ. Power Query and Power Pivot are optional extensions only if time and software access permit.
Tools & Technologies
Excel features for business reporting and data analysis
Example tools and features drawn in this course. Confirm the Excel edition, tool coverage, and access requirements for your batch.
Spreadsheet platform
Microsoft Excel
Spreadsheet platform for workbook organization, calculations, business reporting, and analysis.
Workbooks, worksheets, tables, formatting, and sorting
Calculations
Excel formulas and functions
Create calculations, logical tests, summaries, and lookups for common analysis tasks.
IF, SUMIFS, COUNTIFS, XLOOKUP, VLOOKUP, date and text functions
Data preparation
Excel data cleaning features
Prepare more consistent datasets by reviewing duplicates, text fields, formats, and validation.
Remove duplicates, Text to Columns, Flash Fill, and data validation
Analysis and reporting
PivotTables and PivotCharts
Summarize records into categories and explore patterns without manually calculating each result.
Aggregation, grouping, filtering, slicers, and report summaries
Visualization
Charts, KPI indicators, and dashboards
Present useful summaries with charts, visual indicators, report layouts, and interactive filters.
Chart selection, conditional formatting, KPIs, and dashboard design
Microsoft Excel and feature availability depend on the learner's Excel edition and account access. Microsoft 365 or a compatible desktop edition is recommended for the complete practical experience described in the source outline. Exact features depend on the Excel edition. Power Query and Power Pivot may be introduced as optional extensions only if the final schedule and software access permit.
Projects & Practical Work
Apply Excel concepts to practical business questions
Practise with realistic sample datasets inspired by business operations.
PROJECT 1
Sales Performance Dashboard
Analyze monthly sales, product performance, revenue trends, and salesperson achievements. Create a dashboard with KPIs and interactive filters.
Excel tables, PivotTables, charts, KPI cards, slicers, and concise reporting.
PROJECT 2
Customer Data Analysis
Clean sample customer records, categorize customers, explore purchasing patterns, and summarize customer segments.
Data cleaning, formulas, categorization, PivotTables, and chart summaries.
PROJECT 3
Expense & Budget Analysis
Compare planned and actual expenses, calculate variances, identify high-cost categories, and prepare a financial summary.
Formulas, variance analysis, conditional formatting, and report design.
PROJECT 4
HR Analytics Report
Explore sample attendance, department-wise headcount, employee indicators, and workforce trends.
Data validation, date functions, PivotTables, charts, and careful handling of sample data.
PROJECT 5
Inventory & Stock Analysis
Monitor sample stock levels, identify fast-moving products, flag low inventory, and prepare a reorder report.
Lookups, conditional formatting, PivotTables, and inventory summaries.
PROJECT 6
Final Practical Assignment
Complete an end-to-end analytics exercise—from raw-data preparation to a dashboard, written insights, and a short presentation.
Data preparation, analysis, visualization, communication, and practical assessment.
Capstone project steps
- Start with workbook organization and spreadsheet fundamentals.
- Practise formulas, data validation, and repeatable cleaning tasks.
- Summarize sample business data using PivotTables and charts.
- Assemble a dashboard with selected KPIs and interactive filters.
- Present findings, limitations, and practical recommendations for feedback.
A sample portfolio may contain a cleaned dataset, an Excel workbook, a dashboard or report, written observations, and a brief presentation. Use fictional or approved data; do not publish confidential personal or business information.
Learning Goals
What you can explore in Excel analytics
By the end of the course, learners should be able to:
Organize structured datasets
Manage spreadsheet data in Excel using clear, consistent practices.
Apply formulas and functions
Use spreadsheet calculations to explore common business questions.
Clean and prepare data
Identify duplicates, missing values, and inconsistent formats before analysis.
Summarize information
Use PivotTables and charts to explore grouped data and patterns.
Build reports and dashboards
Arrange visual summaries, KPI indicators, and filters for review.
Identify trends and exceptions
Explore changes and performance indicators in sample business datasets.
Present recommendations
Communicate observations and limitations to a stakeholder audience.
Complete practical projects
Demonstrate Excel analytics techniques through sample reporting tasks.
This course focuses on Excel-based analysis and reporting. SQL, Python, Power BI, and advanced analytics are separate potential learning pathways.
Career Pathways & Indicative Salary Ranges
Explore entry-level reporting and analytics-related roles
Excel skills can support routine information management, spreadsheet reporting, and entry-level analysis tasks across organizations. A short Excel course alone does not qualify a learner for every data analyst role or guarantee a job.
Career pathways
MIS Executive
Prepare management reports, maintain Excel trackers, and organize operational data.
Junior Data Analyst
Support data cleaning, descriptive analysis, trend review, and visual reporting.
Reporting Analyst
Help prepare performance reports, track KPIs, and support recurring analysis.
Operations Analyst
Explore productivity, inventory, and operational performance information.
Indicative salary progression in India
Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.
Fresher / entry-level reporting roles
INR 2.4–4.0 LPAIndicative annual range · India1–3 years of relevant experience
INR 3.5–6.5 LPAIndicative annual range · India3–5 years with strong analytics skills
INR 5–9 LPAIndicative annual range · IndiaExperienced analysts with broader tools
INR 8–15+ LPAIndicative annual range · IndiaBusiness opportunities
- Excel report preparation for small businesses.
- Sales and inventory dashboard development.
- Monthly financial and expense reporting.
- Data cleaning and spreadsheet formatting services.
- HR attendance and payroll reporting support.
- Automated recurring reports for retailers and service businesses.
- Customized Excel trackers and management reporting templates.
Build your future: A possible learning progression is Excel Analytics → Advanced Excel & Power Query → Power BI → SQL → Python for Data Analytics. Each step is a separate learning pathway; confirm prerequisites and software availability.
Certification information
Discuss the issuing authority, assessment requirements and any separate provider exams with admissions.
Course completion recognition is subject to the institute's certification policy. Confirm the issuing authority, eligibility, attendance, and assessment requirements with ECAREERPLUZ before enrolment.
Course completion
Confirm the institute's attendance and course-completion requirements.
Practical assessment
Confirm whether project work or an assessment is required.
Certificate details
Verify the issuing authority, eligibility, and certificate format with admissions.
Example learning journeys
Explore example Excel data analytics projects and learning journeys.
Example learning journey01
From Excel Practice to Reporting
Sample learner profile · not a real testimonial
A sample learner practises organizing data and building recurring Excel reports.
Practice focus: Develop practical skills through guided exercises and project work.
Example learning journey02
Building Confidence with Dashboards
Sample learner profile · not a real testimonial
A sample learner explores PivotTables, formulas, and charts to present information more clearly.
Practice focus: Develop practical skills through guided exercises and project work.
Example learning journey03
Applying Skills to a Practical Project
Sample learner profile · not a real testimonial
A sample sales dashboard exercise helps a learner practice summarizing business trends.
Practice focus: Develop practical skills through guided exercises and project work.
Example learning journey04
Preparing to Present Excel Skills
Sample learner profile · not a real testimonial
A sample project and interview-preparation exercise helps a learner explain their Excel work.
Practice focus: Develop practical skills through guided exercises and project work.
Data-Driven Learning, Delivered with Quality
Practise concepts and apply them to realistic datasets
The learning approach focuses on practical application rather than memorizing formulas alone.
Our learning approach
Structured Learning Path
Progress from spreadsheet foundations through formulas, analysis, visualization, and dashboards.
Hands-on Practice
Apply concepts with guided exercises and realistic sample datasets.
Trainer Guidance
Discuss concepts, demonstrations, practical questions, and feedback with the trainer.
Assessment & Feedback
Review learning through exercises, project feedback, and a final practical assignment.
Sample learning cycle: understand a concept, implement a solution, test it with data, measure results, then improve and demonstrate the work. Confirm the actual teaching and assessment arrangements with ECAREERPLUZ.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Mr. P. PRAKASH RAJ
Software Developer
Mrs. S. SIVANISHA
IT Trainer
Mr. S. MOHAMED RIYAS KHAN
UI & UX Designer
Mr. S. SABARINATHAN
AI AnalystFrequently Asked Questions
Everything You Need to Know Before Enrolling
Who can join the Data Analytics with Excel course?
This course is suitable for students, fresh graduates, job seekers, working professionals, entrepreneurs, and people interested in spreadsheet analysis and business reporting. Confirm the current admission requirements with ECAREERPLUZ.
What is the duration of the course?
The course duration is 45 hours. Contact admissions for batch dates and the detailed timetable.
Do I need prior Excel knowledge?
The course guidance explains that basic computer knowledge is helpful and previous data analytics experience is not required. Confirm whether any Excel or device prerequisites apply to your batch.
Will I learn advanced Excel formulas?
The topics include logical functions, SUMIFS, COUNTIFS, IFERROR, text and date functions, and lookup concepts such as XLOOKUP, VLOOKUP, and INDEX-MATCH. Confirm the detailed syllabus and Excel-version compatibility.
Will I learn to create dashboards?
The outline includes dashboard layouts, KPI cards, PivotTables, charts, slicers, and dynamic reporting. Confirm the practical scope and software edition available.
Are real-world projects included?
The course outline proposes practice projects using realistic business-style datasets, including sales, customer, expense, HR, and inventory analysis. Confirm the final exercises and assessment plan.
Will I receive a certificate?
Certificate availability and eligibility depend on the institute's policy. Confirm the issuing authority, attendance, and assessment requirements before enrolment.
Does the institute provide placement assistance?
Ask about career support, including resume, portfolio, interview, and job-search preparation. Confirm which services are currently available.
What jobs can I apply for after this course?
Possible entry-level directions may include MIS Executive, Junior Data Analyst, Reporting Analyst, and Operations Analyst roles. Job requirements vary.
Can I become a Data Analyst after learning Excel?
Excel can support reporting and analysis tasks, but many analyst roles also require additional tools, experience, communication, and domain knowledge. You can build on these skills with further study in Power Query, Power BI, SQL, and Python.
What software do I need?
The outline recommends Microsoft 365 or a compatible desktop Excel edition for the complete practical experience. Exact feature availability varies by edition; confirm software access and any additional costs.
Can I use these skills for freelancing?
The course outline suggests possible services such as spreadsheet cleaning, recurring reports, trackers, and sales or inventory dashboards. Client work requires suitable skills, clear data permissions, and careful handling of confidential information.
What is the course fee, including GST?
Course fee: INR 15,000 + 18% GST (INR 2,700). Total including GST: INR 17,700. Confirm exclusions, materials, assessments and payment options with admissions.
Build your next chapter in Excel data analytics.
Confirm course duration, fees, upcoming batch, learning mode, and final curriculum with our team.
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