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Data Analysis Techniques

IT-521

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Information Technology

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28 Dec 2026 | 01 Jan 2027
Dubai, UAE
$4,250
Limited Seats
10 Jan 2027 | 14 Jan 2027
Riyadh, KSA
$4,250
Upcoming
21 Jun 2027 | 25 Jun 2027
Vienna, Austria
$4,950
Upcoming
06 Sept 2027 | 10 Sept 2027
Dubai, UAE
$4,250
Upcoming

Course Introduction

In this comprehensive training program, participants will embark on a journey through essential data analysis techniques, spanning from logical and reliable data analysis to advanced methods like regression analysis and analysis of variance.

Over five enriching days, participants will delve into topics such as descriptive statistics, pivot tables, and scenario analysis, equipping them with the skills to handle diverse datasets effectively. Through a blend of theoretical insights and hands-on exercises, participants will master techniques for analyzing data mode shapes, performing regression analysis, and utilizing data-driven methods for predictive analytics.

The course culminates with an exploration of analysis of variance and a demonstration of artificial intelligence applications, providing participants with a well-rounded understanding of data analysis techniques and their practical applications.

Course Objectives

  • Develop proficiency in importing and analyzing data in Excel, employing best practices for accurate and reliable analysis.
  • Master descriptive statistics techniques to derive meaningful insights from data and perform frequency analysis effectively.
  • Utilize pivot tables and pivot charts to visualize and interpret complex datasets, addressing challenges such as noisy and incomplete data and outliers.
  • Acquire skills in data mode shape analysis, including plotting data against time, generating mode shapes, and interpreting time series analyses.
  • Enhance scenario analysis capabilities through dynamic and interactive spreadsheets, employing techniques like what-if analysis and sensitivity measurement to assess different scenarios' impact on outcomes.
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