Bi Mastery: Excel Power Query & Pivottables

Unleashing Data Potential: Transformative Analysis And Reporting Techniques

What you'll learn

Master Excel Power Query for data analysis

Transform data with advanced Power Query techniques

Create dynamic PivotTables for data insights

Automate data fetching and cleansing processes

Design complex data models in Excel

Optimize data analysis with Power Query & Pivot

Apply data analysis skills to real-world scenarios

Requirements

Eagerness to learn Business Intelligence tools.

Interest in data analysis.

Basic Excel knowledge. No advanced skills needed

Computer with Excel installed

Description

Dive into the world of data with “BI Mastery: Excel Power Query & PivotTables,” a course meticulously crafted to empower you with the skills to analyze, transform, and report data with precision. This course goes beyond the basics, offering a deep dive into the tools that make Excel a powerhouse for business intelligence.Course Overview:In-Depth Tutorials: Learn through detailed walkthroughs that demonstrate the power of Excel for data transformation.Real-World Scenarios: Tackle practical exercises that mirror the challenges faced by data professionals.Expert Techniques: Gain insights into advanced methods for data fetching, cleansing, and analysis.Learning Outcomes:Efficient Data Handling: Master the art of importing and managing data from various sources directly within Excel.Data Cleansing Mastery: Discover how to refine and prepare data for analysis using Power Query’s robust features.Interactive Reporting: Create dynamic reports that respond to user interactions, providing deeper insights into data sets.Course Structure:Structured Modules: Each section builds upon the last, ensuring a cohesive and comprehensive learning journey.Supportive Community: Engage with a community of learners in the Q&A section, enhancing your learning experience through collaboration.With “BI Mastery: Excel Power Query & PivotTables,” you’ll unlock the full potential of your data, learning to create insightful reports and analyses that can inform business strategies and drive success. Whether you’re managing large datasets, seeking to improve your reporting techniques, or aiming to make data-driven decisions, this course will provide the knowledge and tools you need to excel in the field of data analysis.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Structure

Lecture 3 Important Download Instructions

Lecture 4 Downloadable Materials & Installation Guidelines

Section 2: Getting Started with Excel Power Query for Data Analysis

Lecture 5 Understanding Data Transformation with Excel Power Query

Lecture 6 The Impact of Power Query in Modern Data Analysis

Lecture 7 Efficient Data Management: Reusing Power Query Steps

Lecture 8 Navigating the Power Query Interface for Effective Data Handling

Section 3: Excel Power Query: Data Fetching Fundamentals

Lecture 9 Excel File Data Import with Power Query Step-by-Step Tutorial

Lecture 10 How to Import Data from Excel Tables Using Power Query

Lecture 11 Text File Data Extraction with Excel Power Query

Lecture 12 Data Import From Folder

Lecture 13 Web to Excel Import with Power Query

Section 4: Data Transformation and Cleansing with Power Query

Lecture 14 Mastering PowerQuery Editing

Lecture 15 Streamlining Column Headers in Power Query

Lecture 16 Navigating Data Types in PowerQuery

Lecture 17 Efficient Column Data Splitting

Lecture 18 Assignment - Splitting Column Data Using Power Query

Lecture 19 Assignment Solution - Data Splitting Mastery

Lecture 20 Text Value Transformation Techniques

Lecture 21 Simplified Sorting in PowerQuery

Lecture 22 Advanced Multi-Level Sorting in PowerQuery

Lecture 23 Record Filtering Techniques in PowerQuery

Lecture 24 Eliminating Duplicates Effectively

Lecture 25 Harnessing Fill Command in PowerQuery

Lecture 26 Assignment - Cleaning Up Data

Section 5: Loading Query Data

Lecture 27 Workbook Data Integration

Lecture 28 Incorporating Data into the Data Model

Lecture 29 Power Query Load Settings

Lecture 30 Refresh Settings Within Power Query

Lecture 31 Deleting A Query

Lecture 32 ADDITIONAL CONTENT - ACTIVATING POWER PIVOT ADDIN

Section 6: Manipulating Column Data with Pivot & Unpivot

Lecture 33 Applying Transpose Function in Power Query

Lecture 34 Implementing Pivot Column in Power Query

Lecture 35 ASSIGNMENT TASK - PIVOTING COLUMNS

Lecture 36 Executing Unpivot Columns in Power Query

Lecture 37 ASSIGNMENT TASK - UNPIVOT COLUMNS

Section 7: Grouping Techniques in Data Analysis

Lecture 38 Replicating a Query

Lecture 39 Grouping and Summarizing Data

Lecture 40 Advanced Grouping Strategies in Power Query

Lecture 41 TASK - GROUPING DATA USING POWER QUERY

Section 8: Custom Column Generation Using Power Query

Lecture 42 Creating Custom Columns in Power Query

Lecture 43 Conditional Column Creation in Power Query

Lecture 44 Date-Based Calculated Columns

Lecture 45 Deriving Day Name from Date Column

Lecture 46 Custom Column Calculation Creation

Lecture 47 Creation of Index Column

Lecture 48 ASSIGNMENT - CUSTOM & CALCULATED COLUMN CREATION

Section 9: Harnessing Power Query & Pivot Tables

Lecture 49 Download - ORDERS-PivotTable

Lecture 50 Crafting a Pivot Table with Power Query Data

Lecture 51 Grouping Data Using PivotTable

Lecture 52 Date Grouping in PivotTable

Lecture 53 Enriching Power Query Source Data

Lecture 54 Tweaking PivotTable Calculations

Lecture 55 Analyzing Data with PivotChart

Lecture 56 Filtering Data with PivotTable Slicers

Lecture 57 Implementing Timeline Slicers for Dates

Lecture 58 Refreshing Pivot Table with Updated Source Data

Lecture 59 ASSIGNMENT - ANALYZING POWER QUERY DATA WITH MS EXCEL PIVOTTABLE

Lecture 60 Download – Assignment-ProductOrder-Pivot

Section 10: Harnessing Multiple Data Sources with Power Query

Lecture 61 Downloadable Resource – Multiple Tables

Lecture 62 Exploring Multi-Table Data in Power Query

Lecture 63 Basics of Table Interconnections in Power Query

Lecture 64 Merging Queries Using Power Query

Lecture 65 Appending Multiple Data Sets Using Power Query

Lecture 66 ASSIGNMENT - Unifying Data Sources with Excel Power Query

Section 11: Section Heading: Advanced Data Sanitization

Lecture 67 Delving into Complex Data Cleanup

Lecture 68 Transposing Columns to Rows with Power Query

Lecture 69 Dealing with Nested Data in Power Query

Lecture 70 ASSIGNMENT - COLUMN TO ROWS

Section 12: Manipulating Power Query Parameters

Lecture 71 Establishing and Utilizing Power Query Parameters

Lecture 72 Administering and Altering Power Query Parameters

Section 13: Utilizing Table Variables in Power Query

Lecture 73 Exploring Table Variables in Power Query

Lecture 74 Applying Table Variable for Query Filtering

Lecture 75 Automating the Data Refresh Procedure

Lecture 76 Preserving a Macro-Enabled Workbook

Section 14: Thank You

Lecture 77 Congratulations

Section 15: ADDITIONAL DOWNLOAD: COMPLETED FILES

Lecture 78 ADDITIONAL DOWNLOAD: COMPLETED FILES

Aspiring Data Analysts: If you’re starting a career in data analysis and want to add a powerful tool to your skillset, this course will provide you with a solid foundation in Power Query and PivotTables.,Business Professionals: For those in business roles that require data manipulation, reporting, or decision-making based on data insights, this course will enable you to leverage Excel more effectively.,Excel Users Looking to Upgrade: If you’re already familiar with Excel but haven’t fully explored its BI capabilities, this course will help you unlock new features and techniques for advanced data tasks.,Students and Academics: Whether you’re a student needing to analyze data for projects or a researcher looking to streamline your data processes, this course offers practical applications of Power Query and PivotTables.,IT Professionals: For those in IT who support business users or manage data systems, understanding Power Query can be a valuable addition to your toolkit.,Curious Learners: Even if you’re just curious about data analysis and want to explore what Excel can offer, this course provides an accessible entry point into the world of BI.