Microsoft Excel: Power Bi/Power Query/Power Pivot-From Zero

Learn about DATA ANALYSIS,BUSINESS INTELLIGENCE & DATA MODEL FROM BASIC/ in a practical manner without unnecessary fluff

What you'll learn

An Overview of Microsoft Excel Power BI

Business Intelligence: Principles and Practices

Introduction to Power Query and Power Pivot

A general understanding of the environment of Power Query

transferring data from various sources

Shaping data to improve the data quality

Using Transform tools: A step-by-step guide

Understanding Appending Queries in detail

Learning more about Merging Queries

The Concept of DATA MODEL

Adding Data to a DATA MODEL

Becoming familiar with the Power Pivot environment through real-world examples

Understanding the rules behind relationships in Power Pivot

How to create a relationship

Requirements

ENTER, EDIT, FORMAT TEXT AND NUMBERS-2-FORMAT AS TABLE-3-SORT AND FILTER CHARTS-INSERT AND FORMAT CHARTS-CONDITIONAL FORMATING)

Description

NOTE: This course is filled with real-world and practical examples of how to use BI tools in order to transform raw data into functional information in various fields· Do you want to learn how to turn your data into powerful insights that can drive better decisions?·Would you like to master Power Query and learn how to shape and refine your datasets effortlessly?·Are you interested in building effective data models and establishing relationships to optimize your data analysis?In this course, you’ll embark on a transformative journey into the world of Business Intelligence. You’ll master Power Query, learning to import, shape, and refine your data like a pro. I’ve carefully crafted each lesson to include all the essential concepts without unnecessary fluff, using relatable examples to ensure you grasp the material quickly. Discover how to create powerful data models and establish relationships that optimize your analysis. By the end of the course, you’ll be able to build stunning dashboards that turn your data into impactful insights, driving business success. Whether you're a beginner or looking to sharpen your skills, this course will equip you with the essential tools and knowledge to excel in data analytics!Headlines:· Overview of Power BI and Business Intelligence principles and practices.· Introduction to Power Query, including the environment and transferring data from various sources.· Techniques for shaping data to improve quality, using Transform tools with a step-by-step guide.· Detailed understanding of appending and merging queries in Power Query.· Introduction to the concept of data modeling and adding data to a data model.· Familiarization with the Power Pivot environment through real-world examples.· Introduction to relationships in Power Pivot, explaining the underlying rules.· Learning methods for creating relationships and utilizing them to connect data from various sources, extracting the desired insights effectively.Dive into the course at your convenience, and feel free to reach out with any questions or for further assistance. I’m here to support you!

Overview

Section 1: Introduction to BI

Lecture 1 Getting Started with Business Intelligence: How ETL Transforms Data into Insight

Lecture 2 The Evolution of Business Intelligence and the Advancement of Self-Service BI

Section 2: Power Query: The Essential Toolkit for Data

Lecture 3 Exploring Power Query as Your Gateway to Importing Data

Lecture 4 Shaping Data in Power Query to Refine Your Dataset

Lecture 5 Enhancing Data Formats in Power Query for a Flawless Import

Lecture 6 Unpivoting and Pivoting Data in Power Query for Streamlined Analysis

Lecture 7 Integrating Data with Appending and Merging Queries

Section 3: Power Pivot Insights: Creating, Transforming, and Managing Data Models

Lecture 8 Introduction to the Data Model

Lecture 9 Incorporating Data into Your Data Model

Lecture 10 Transforming Power Query Outputs into Your Data Model

Lecture 11 Unraveling the Rules and Nature of Relationships

Lecture 12 How to build Relationships to Optimize Data Access

Marketing Professionals,Data Analysts,Financial Managers,Students and Researchers,BI Developers,Project Managers,Administrative Professionals,Sales Analysts