India & USA Centers: Mapusa · Panjim · Margao · Sanquelim · Pernem · Mysore · Las Vegas +91 93074 02403 info@avanteia.com
Data Analytics Track

Data Analytics:
Beginner

4.8 (1,230 reviews)

Start where most business data already lives: Excel. Learn to turn a vague business question into the right KPI, clean messy data, answer questions with formulas, combine sheets with XLOOKUP, summarise thousands of rows with pivot tables, model decisions with what-if analysis, and automate it all with Power Query into a one-screen sales dashboard.

Created by Avanteia
12,580 Total Enrolled
02 Oct 2026 Last Updated
Enroll Now
Data analytics course for beginners in Goa – Excel pivot tables, Power Query and dashboards at Avanteia Mapusa
1.5 Months Duration
Certificate On Completion
Beginner Level
4 Modules Syllabus
1.5 Months Duration
28 Hours 11 Labs · 1 Project
English Language

Overview

This build-first data analytics course for beginners needs no coding or statistics background. You start by learning what analysts actually do — turning business questions into measurable KPIs and spotting bad data. You then master Microsoft Excel from basic to advanced: clean data entry, everyday formulas, SUMIFS and text and date cleaning, lookups with VLOOKUP, INDEX-MATCH and XLOOKUP, dynamic arrays, pivot tables with slicers, and what-if analysis with Goal Seek and Scenario Manager. Finally, you automate repeat cleaning with Power Query and build a refresh-ready Excel Sales Performance Dashboard. Around 70% of class time is hands-on, every lab runs on your own laptop, and every number you present must trace back to the data that produced it.

KPIs Excel Formulas XLOOKUP Pivot Tables What-If Analysis Power Query Dashboards

Learning Outcome

Turn business questions into KPIs, clean and analyse data in Excel from basic to advanced, automate repeat work with Power Query, and present findings on a one-screen dashboard a manager can act on.

Syllabus

Click any module to expand and view topics, hands-on labs and tools used.

  • What data analytics is, and how it differs from data science and data engineering
  • The four kinds of analytics: descriptive, diagnostic, predictive, prescriptive
  • The analyst workflow: ask, collect, clean, analyse, visualise, recommend
  • Types of data: structured and unstructured, numerical and categorical
  • Tidy data: one row per record, one column per variable
  • KPIs and metrics, and why a vague question gives a vague answer
  • Data quality: accuracy, completeness, consistency, timeliness
  • Data ethics: privacy, consent and honest reporting
Hands-on Lab
Break Business Questions into Measurable KPIs Write a Manager-Ready Problem Statement Spot Tidy-Data Violations in a Messy Sheet Data-Quality Note
Tools Used
Microsoft Excel (Microsoft 365) Google Sheets Learning Journal
  • Workbook, worksheet, cell and range; Excel Tables and structured references
  • Data types, and why numbers stored as text silently break formulas
  • Relative, absolute and mixed references ($A$1, A$1, $A1)
  • Order of operations, and building a formula one piece at a time
  • Number, date and currency formats; conditional formatting rules
  • Sorting, filtering, and data validation with drop-down lists
  • Core functions: SUM, AVERAGE, COUNT, IF, AND, OR, SUMIFS, COUNTIFS, AVERAGEIFS
  • Text and date functions for cleaning real exports: TRIM, PROPER, TEXTJOIN, DATEDIF, EOMONTH, NETWORKDAYS
  • Reading the common errors: #VALUE!, #DIV/0!, #N/A, #REF!, #NAME?
Hands-on Lab
Validated Employee Records Sheet Clean a Messy Sales Export with a Cleaning Log Answer 10 Business Questions with SUMIFS & COUNTIFS
Tools Used
Excel Tables Data Validation Conditional Formatting Text to Columns Flash Fill Remove Duplicates
  • Lookup logic: exact versus approximate match
  • VLOOKUP and its limits; INDEX-MATCH; XLOOKUP with a not-found value
  • Nested IF versus IFS and SWITCH; IFERROR for clean output; SUMPRODUCT
  • Dynamic arrays: FILTER, SORT, UNIQUE, SEQUENCE; LET for readable formulas
  • Pivot tables: rows, columns, values, filters and calculated fields
  • Grouping dates, slicers and timelines across several pivots
  • What-if analysis: Goal Seek, Scenario Manager, Data Tables
  • Basic statistics: mean, median, mode, standard deviation, percentiles
Hands-on Lab
Merge Sheets with VLOOKUP, INDEX-MATCH & XLOOKUP Commission & Grading Calculator Live Top-10 Customer List with FILTER & SORT Pivot Table Analysis on 10,000 Rows Break-Even & Scenario Analysis
Tools Used
XLOOKUP Dynamic Arrays PivotTables & PivotCharts Slicers & Timelines Goal Seek & Scenario Manager Analysis ToolPak
  • ETL in plain words: extract, transform, load
  • Power Query: applied steps that repeat on every refresh
  • Append versus merge queries; unpivoting wide data
  • The data model and relationships (Power Pivot introduction)
  • Choosing the chart: comparison, trend, share, distribution
  • Dashboard layout: KPIs on top, trends in the middle, detail below
  • Combo charts, sparklines, KPI cards and connected slicers
  • Macros: what recording does, and when not to trust it
Hands-on Lab
Combine 12 Monthly Files with Power Query One-Click Refresh Test Project A: Excel Sales Performance Dashboard
Tools Used
Power Query Power Pivot Excel Charts & Sparklines Slicers Macro Recorder

What You Will Learn

Analytics Thinking

Turn vague business questions into measurable sub-questions, the right KPIs and a clear problem statement.

Clean Data & Formulas

Clean messy exports and answer everyday questions with SUMIFS, COUNTIFS and text and date functions.

Lookups, Pivots & What-If

Combine sheets with XLOOKUP, summarise thousands of rows with pivot tables and model decisions.

Power Query & Dashboards

Automate repeat cleaning with Power Query and build a refresh-ready Excel sales dashboard.

What Our Students Say

"

The Level 2 course took my skills to a professional level. The Active Directory labs and privilege escalation modules are exactly what I needed to land my first pentesting job. Avanteia's hands-on approach is unmatched.

Vikram Patil Penetration Tester, Mumbai
"

I completed the Beginner course first and immediately enrolled in Intermediate. The malware analysis and reverse engineering modules were eye-opening. The 2-month duration is perfect for working professionals.

Sneha Kadam ethical hacking Analyst, Pune
"

The cloud security and wireless hacking modules are incredibly relevant. I used the skills from this course to secure my company's AWS infrastructure. Highly recommended for anyone serious about ethical hacking.

Rahul Menon Security Engineer, Bangalore

Ready to Launch Your
Data Analytics Career?

Master Excel from basic to advanced and build your first sales dashboard. Enroll today and get certified on completion.

Enroll Now