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عربي

عربي

course

Business Intelligence: Data Analysis and Reporting Techniques

Why Attend

This course will introduce Business Intelligence (BI), hands-on, to allow you to clean, normalize, and interpret large volumes of data. You will be able to establish historical relationships, analyze the current situation, and predict future strategies. The application of BI is borderless, covering operational, tactical, and strategic business decisions. It spans all departments and cascades down to all users who perform data cleansing, reporting, analysis, modeling, integration, and automation. In this course, we use MS Excel exclusively as an ultimate and readily available BI tool, allowing you to develop an exclusive level of expertise and add immediate value to your job and company.

Overview

Course Outline

Schedule & Fees

Methodology

20% of the course is design- and structure-focused, while 80% uses MS Excel as a BI tool. Groups and individuals will be required to complete exercises, case studies, and projects on a daily basis.

Course Objectives

By the end of the course, participants will be able to:

Prepare data for analysis and reporting using Excel functions and tools

Develop dynamic BI models, dashboards, scorecards and flash management reports using Pivot Tables

Utilize Power Query to ‘get and transform’ data from various sources, e.g., Excel tables and files, folders, Web, text, and pdf.

Apply what-if analysis using Excel modeling tools

Acquire numerous tips and tricks that enable them to work efficiently

Target Audience

Business professionals, business analysts, data analysts, research analysts, finance professionals, marketing and sales professionals, HR professionals, IT professionals, administrative staff, supervisors, general business professionals, and staff from any function who need to learn and apply state-of-the-art data analysis techniques to their daily business reporting and decision-making.

Target Competencies

Excel functions and tools

Pivot Tables

Power Query

Reporting, analysis and reconciliation

Modeling and 'what-if' analysis

Developing dynamic dashboards and scorecards

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