Learning Data Analytics in Excel From Data to Business Insights

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voska89

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Free Download Data Analytics in Excel From Data to Business Insights
Published 12/2025
Created by Liana Ahrens Teixeira
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 35 Lectures ( 4h 2m ) | Size: 4.62 GB

Build practical Excel analytics skills using real-world examples.
What you'll learn
You will learn how to structure and prepare data correctly for Excel data analytics, ensuring your analysis is accurate, reliable, and easy to maintain.
You will apply commonly used Excel formulas for data analysis, including logical functions, lookups, & aggregation formulas, in realistic business scenarios.
The course also covers error handling in Excel, helping you build robust analytical models.
As you progress, you will use Pivot Tables in Excel to explore, summarise, and analyse datasets, identify trends, and answer business questions.
You will also learn how to create clear Excel charts and visualisations that support insight and decision-making.
Perform exploratory data analysis to identify patterns, trends, and anomalies.
Translate numbers into insights that can be explained to non-technical stakeholders.
Develop confidence in using Excel for business analysis, consulting, and decision support.
Requirements
Basic familiarity with Excel, such as entering data, simple formulas, and navigating worksheets
No prior experience in data analytics, statistics, or programming is required
Basic familiarity with Excel, such as entering data, simple formulas, and navigating worksheets
A computer or laptop with Microsoft Excel installed (Excel 2016 or later recommended; Excel 365 supported)
This course is designed to be accessible to beginners while still offering value to intermediate Excel users who want to strengthen their analytical skills.
Description
Data Analytics in Excel is a practical, business-focused course designed to help you use Microsoft Excel with confidence for data analysis and business analytics.Excel is one of the most widely used tools for data analysis, yet many users rely on basic formulas without understanding how to analyse data properly. This course shows you how to move from simple Excel usage to structured Excel data analysis, using real-world examples and practical exercises.Rather than teaching disconnected Excel tricks, this course focuses on analytical thinking, helping you understand why each step matters when working with data.Purpose:Bridge the gap between raw Excel skills and practical, analytical thinkingTeach learners how to ask business questions, structure data, analyse it, and extract insightsPosition Excel as a serious analytics tool, not just a spreadsheetCore CharacteristicsPractical, hands-on, insight-drivenBusiness-context first, tools secondFocus on why before howStrong emphasis on thinking like an analystWhat you'll learn in this Excel data analysis course:You will learn how to structure and prepare data correctly for Excel data analytics, ensuring your analysis is accurate, reliable, and easy to maintain.You will apply commonly used Excel formulas for data analysis, including logical functions, lookups, and aggregation formulas, in realistic business scenarios. The course also covers error handling in Excel, helping you build robust analytical models.As you progress, you will use Pivot Tables in Excel to explore, summarise, and analyse datasets, identify trends, and answer business questions. You will also learn how to create clear Excel charts and visualisations that support insight and decision-making.The course demonstrates how to analyse data using Excel and tackle complicated criteria. We will use Excel charts to depict data, relationships, and potential outcomes. In addition, we will also be discussing how to use the what-if functionality of the Analysis ToolPak add-in that comes with Excel. Each section includes practical examples that show how to apply these techniques to real-world business problems.Who this Excel analytics course is for:Aspiring and junior analystsBusiness professionals and consultantsStudents transitioning from theory to practiceNon-technical users who want analytical confidenceThis course is suitable for beginners with basic Excel knowledge and for intermediate Excel users who want to strengthen their data analysis skills in Excel.By the end of this course, you will be able to:Prepare and structure data for Excel data analysisApply Excel formulas confidently in analytical scenariosAnalyse data using Pivot TablesCreate meaningful Excel charts and dashboardsCommunicate insights clearly to non-technical stakeholders
Who this course is for
Anyone moving from basic Excel usage to analytical, insight-driven work.
Students who want to develop practical data analytics skills in Excel.
Professionals who use Excel and want to analyse data more effectively.
Professionals who use Excel and want to analyse data more effectively.
Business owners and managers who want to understand their data better.
This course is not about memorizing Excel shortcuts - it is about learning how to think analytically using Excel.
Homepage
Code:
https://www.udemy.com/course/data-analytics-in-excel-from-data-to-business-insights/

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