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Business Intelligence: Data Analysis and Reporting Techniques - Virtual Learning

Business Intelligence: Data Analysis and Reporting Techniques - Virtual Learning

Why Attend

In this day and age, it is no surprise for corporate staff to be overwhelmed by the abundance of unstructured data. ERPs and databases have evolved to a point where they can house amazingly large amounts of data. The question now is, what do you do with this data to add value? This program 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.

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.

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Overview
Course Methodology

Live online course where participants will be able to interact with instructor (video and audio), view slides, collaborate with others, comment on discussions, complete assessments, activities and case studies. 

Course Objectives

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

  • Boost Excel Business Intelligence (BI) expertise in data slicing and dicing, data massaging, and data aggregation and modeling
  • Perform data normalization, consolidation, report writing, analysis and reconciliation
  • Develop dynamic BI models, scorecards and flash management reports 
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
  • Massaging and normalizing data
  • Reporting, analysis and reconciliation
  • Modeling and 'what-if' scenarios
  • Data integration
Note
This is a hands-on training course using laptops. Participants are required to use their own laptops equipped with Excel 2016 or higher for the duration of the training.
Course Outline
  • Data analysis tools and techniques
    • Advanced data validation using lists, dates and custom validation
    • The incredible table-tools technique
    • Cell management tools: left, right, mid, concatenate, value
    • Naming, editing, and managing cells and ranges
    • Subtotal, sumif, sumifs, sumproduct, count, countif, countifs
    • Looking-up data, texts, and values using vlookup
    • Slicing dates into day names, weeks, week numbers, month names, years and quarters
    • Text-to-columns and dynamic trimming using trim and len
    • Managing texts and numbers using replace, find, and substitute
    • Text change functions
  • Mastering data reporting: the 20 must learn pivot-tables tools
    • Creating pivot tables
    • Number formatting techniques
    • Designing report layout
    • Sorting in ascending, descending and more sort options
    • Filtering labels and values
    • Expanding and collapsing reports
    • Drill down option
    • Summarize values by sum, average, minimum, maximum, count
    • Show values as % of total and % of
    • Pivot table options
    • Inserting formulas
    • Date analysis
    • Copying pivot tables
    • Creating pivot charts
    • Dynamic chart labeling
    • Mastering the slicer
    • Showing report filter pages
    • Linking pivot tables and pivot graphs with PowerPoint
    • Conditional formatting with pivot tables
    • Designing reports using the Getpivotdata
  • Data modeling
    • Spinner
    • Check box data modeling with if function
    • Option button data modeling with if function
    • List box data modeling with choose function
    • Scenario manager
  • Data integration and connections
    • Integrating data from Text file
    • Integrating data from Excel file
    • Integrating data from Web
Schedule & Fees

2023 Schedule & Fees

Location & Date
9 - 13 Jul, 2023
Arabic
Virtual Learning
30 Jul - 3 Aug, 2023
Arabic
Virtual Learning
3 - 7 Sep, 2023
English
Virtual Learning
5 - 9 Nov, 2023
Arabic
Virtual Learning
Fees
Per participant

USD 2700

Fees + VAT as applicable

Discount Plans & Cancellations Policy

Meirc reserves the right to alter dates, content, venue, trainer, and to offer courses in an integrated virtual learning (IVL) format whereby face to face classroom participants and virtual learners participate simultaneously in the same course in an interactive learning experience.

Tax Registration Number: 100239834300003

Face-to-Face Courses
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+971 56 177 0877
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