Advanced Excel

Masterclass

Learn the key techniques to set up your reports
and be able to update your reports by simply
pressing the refresh button


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Advanced Excel

Masterclass

Learn to create Excel
dashboards in minutes

Take your skills to the next level with Microsoft Excel Advanced


Power Query is the recommended experience for discovering, connecting to, and importing data. Power Pivot is a powerful data analysis and data modeling tool. Use Power Query and Power Pivot to mold your data in Excel so you can explore and visualize it with PivotTables, PivotCharts and Power Map.
Course Modules Covered in the Advanced Excel Masterclass program
Module 1 - Introduction

Introduction

  1. Extracting, Transforming and Loading (ETL) data
  2. Power Query vs “normal” Excel
  3. Importing data with Power Query
  4. Sources of data:
    Excel
    CSV/Text
    SQL Database
    Web
    Others
  5. Query Editor ribbon, Navigator pane & Preview grid
  6. Query settings panel - recording of transformation steps
Module 2 - What is Power Query

What is Power Query

  1. Extracting, Transforming and Loading (ETL) data
  2. Power Query vs “normal” Excel
  3. Importing data with Power Query
  4. Sources of data:
    Excel
    CSV/Text
    SQL Database
    Web
    Others
  5. Query Editor ribbon, Navigator pane & Preview grid
  6. Query settings panel - recording of transformation steps
Module 3 - Data Cleaning and Formatting

Data Cleaning and Formatting

  1. Data types: Number, Date, Text, True/False
  2. Remove Columns, Remove Other Columns & Choose Columns
  3. Removing duplicates from a data set
  4. Replacing values and errors
  5. Null values: Replace, fill or filter out
  6. Removing whitespaces and non-printable characters
Module 4 - Data Transformation Techniques

Data Transformation Techniques

  1. Transpose, Unpivot Columns and Pivot Columns: What are the differences? When to use them?
  2. Text transformations:
    Extract texts before delimiter
    Extract texts after delimiter
    Add Prefix/Suffix
    Convert texts to uppercase/lowercase
Module 5 - Data Aggregation and Calculation

Data Aggregation and Calculation

  1. Summarise data with Group By (Sum, Median, Min, Max, etc)
  2. Custom Columns: Create formulas for computations
  3. Index Columns
  4. Number columns statistical calculations
Module 6 - Combining Data

Combining Data

  1. Difference between merge and append
  2. Merge queries (the V-Lookup in Power Query)
  3. Append queries (combining tables with the same headers)
  4. Use cases of merge and append queries
Module 7 - Organizing Power Query Automation

Organizing Power Query Automation

  1. Best practices in organising your data sources
  2. How to automate your data refresh
  3. Importing multiple files located in a folder
  4. Update Power Query for change in location of source data
Module 8 - Power Query Time Saving Tips

Power Query Time Saving Tips

  1. Copy and paste queries to another Excel workbook
  2. Duplicate and reference queries
  3. Preview or navigate to table objects
  4. Navigate through complex query dependencies
Module 9 - Power Pivot Concepts

Power Pivot Concepts

  1. Extracting information from data with Power Pivot
  2. Uncovering data interpretation issues
Module 10 - Power Pivot Data Model

Power Pivot Data Model

  1. Data Terminology
  2. Defining a consolidated view of data
  3. Generating a data mashup from structured and unstructured data sources into a data model
  4. Deriving relationships from data sources with the Relationship tool and the Diagram View
  5. Acquiring data from related tables
  6. Create linked data
  7. Defining calculated columns
Module 11 - Using PivotTable with Power Pivot

Using PivotTable with Power Pivot

  1. Create PivotTable with data models
  2. Analyse and summarise data with PivotTable
  3. Creating hierarchies in data model
  4. Data visualisation with PivotCharts
Module 12 - Implementing Dax Functions in Power Pivot

Implementing Dax Functions in Power Pivot

  1. Expressing information with measures
  2. Understand the difference between calculated columns and measures
  3. Understand the difference between implicit and explicit measures
  4. Exposing hidden information from data
  5. Quantifying and mining information with DAX functions
  6. Evaluating expressions with the CALCULATE() function and filter functions
Our Training Methodology
Program Key Highlights

online-learning-2
48 hours of Remote Online Learning
learning-hours
Additional Coaching Hours
hands-on
Live Hands-on Projects
certification
Certified by International Body
mentor
Mentorship with Industry Experts
industry
Designed for Beginners & Professionals
Get in Touch With Us Today!

This training program is suitable for anyone who intends to enter into the field of Microsoft Excel. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee

MYR 1300 per pax.

Funding Schemes for Companies who are claiming from their HRDF levy or from the SBL Khas scheme.

One-time fee. One year access to course materials and resources.
 
 



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