Bi Analyst Tools: (Excel, Vba, Sql, Power Query, Power Bi)

Mastering Data Visualization and Analytics with BI Tools: (Excel, VBA, SQL, Power Query, DAX, Macros, Power BI)

What you'll learn

Understanding the importance and role of data analysis in a business context.

Familiarity with key tools in data analysis, including Power BI, SQL, Excel, and DAX.

Ability to connect Power BI to various data sources.

Skills to clean and transform raw data for analysis using Power Query in Power BI.

Proficiency in writing SQL queries for data extraction and manipulation.

Developing and working with databases in SQL, including concepts such as Joins, Views, and Stored Procedures.

Understanding how to use Excel for data analysis, including sorting, filtering, and use of formulas and functions.

Advanced Excel skills such as data validation and what-if analysis.

Mastery of PivotTables and PivotCharts in Excel.

Understanding the basics of DAX, including its syntax and various functions.

Ability to create calculated columns and measures using DAX.

Mastering advanced DAX concepts like Time Intelligence functions.

Creating relational data models in Power BI.

Designing interactive visuals in Power BI, including charts, graphs, and tables.

Understanding the principles of good dashboard design.

Creating effective, business-oriented dashboards in Power BI.

Ability to tell compelling stories with data.

Ability to tell compelling stories with data.

Hands-on experience of building a business-oriented dashboard in a Capstone Project.

Confidence and competence to use Power BI, SQL, Excel, and DAX in real-world business scenarios for data analysis and visualization.

Requirements

While this course starts with the basics, a general understanding of computers and software is required. No prior knowledge of Power BI, SQL, Excel, or DAX is needed. A willingness to learn and an interest in data analysis are the main prerequisites.

Description

Welcome to " BI Analyst Tools: Unleashing Business Intelligence," an immersive course designed to guide you through the world of data analysis using state-of-the-art tools such as Power BI, SQL, Excel, and DAX. Whether you're a novice just starting your journey, or an established professional seeking to enhance your toolkit, this course offers an expansive insight into the realm of data analysis, visualization, and business intelligence.Today, the business landscape is becoming increasingly data-driven. Every business decision is underpinned by data, insights, and analytics. Recognizing this shift, our course intends to impart the skills necessary to navigate, analyze, and interpret complex data, allowing you to harness its power and drive strategic decision-making.The course kicks off with a fundamental understanding of data analysis, its role, and significance in business. As we progress, we'll delve into the basics of Power BI, SQL, Excel, and DAX, essential tools for any data analyst. You'll learn how to gather, clean, and transform data, preparing it for insightful analysis.As we dive deeper, we'll explore DAX, a library of functions and operators that provide the muscle for crunching numerical data. We'll then move on to one of the most exciting aspects of data analysis: visualizations. You'll learn how to design and implement interactive charts, graphs, and other visuals, and arrange them in a compelling dashboard that tells the story hidden within your data.Excel, a classic tool with robust capabilities, plays an essential role in our course. We'll navigate its features, from basic functions to pivot tables, exploring how it can be employed in data analysis. With SQL, we'll show you how to query databases to retrieve and manipulate data, essential skills for working with large datasets.Perhaps one of the most rewarding parts of this course is the Capstone Project. You'll apply the skills you've learned to create a business-oriented dashboard, incorporating elements from Power BI, SQL, Excel, and DAX. This hands-on experience is designed to solidify your learning and provide a taste of real-world data analysis projects.This course is for anyone with a desire to understand data and draw insights from it. No prior knowledge of Power BI, SQL, Excel, or DAX is required—only a willingness to learn and a fascination with data. The course is ideal for beginners interested in data analysis, professionals seeking to enhance their data analysis skills, business professionals, and students in business or data science disciplines.In conclusion, " BI Analyst Tools: Unleashing Business Intelligence" is more than just a course—it's your gateway to the intriguing world of data analysis. Upon completion, you'll not only understand how to use Power BI, SQL, Excel, and DAX, but you'll also know how to weave them together to create captivating dashboards that make data speak. Embark on this journey with us and discover the transformative power of data analysis and business intelligence.

Overview

Section 1: Introduction to Data Analysis

Lecture 1 Introduction

Lecture 2 Introduction to Data Analysis

Lecture 3 Overview of Data Analysis

Lecture 4 Roles in Data

Lecture 5 Role and importance of data analysis in business

Lecture 6 Task of a Data Analyst

Lecture 7 Overview of data analysis tools

Lecture 8 Introduction to Power BI, SQL, and Excel

Lecture 9 Comparisons between Power BI, SQL, and Excel

Lecture 10 Introduction to DAX

Lecture 11 Introduction to Dashboards

Lecture 12 What is a dashboard and its importance

Lecture 13 Components of a dashboard

Section 2: MySQL Database Server Setup

Lecture 14 What is MySQL

Lecture 15 MySQL Installation on Windows

Lecture 16 MySQL Installation on Mac

Lecture 17 Introduction to MySQL Workbench

Lecture 18 Installing MySQL Workbench on Macs

Lecture 19 Basic Database Concepts

Lecture 20 What is a Schema

Lecture 21 Database Schema

Lecture 22 MySQL Data Types

Section 3: Basics of SQL

Lecture 23 Introduction to SQL

Lecture 24 SQL Syntax

Lecture 25 Data Definition Language (DDL)

Lecture 26 CREATE Database Statement

Lecture 27 CREATE Table Statement

Lecture 28 INSERT INTO Statement

Lecture 29 SELECT Statement

Lecture 30 UPDATE Statement

Lecture 31 DELETE Statement

Lecture 32 Intermediate SQL

Lecture 33 SQL Indexes

Lecture 34 Introduction to Table Joins

Lecture 35 INNER Join

Lecture 36 LEFT Join

Lecture 37 RIGHT Join

Lecture 38 SELF Join

Lecture 39 Introduction to Views

Lecture 40 Creating Views

Lecture 41 Querying Views

Lecture 42 Modifying Views

Lecture 43 Dropping Views

Lecture 44 Introduction to Sub queries

Lecture 45 Nested Sub queries

Lecture 46 Grouping Rows of data using GROUP BY CLAUSE

Lecture 47 Filtering groups using HAVING CLAUSE

Lecture 48 Sorting data using ORDER BY Clause

Lecture 49 Filtering rows of data using WHERE Clause

Lecture 50 Introduction to Aggregate Functions

Lecture 51 AVG Function

Lecture 52 COUNT Function

Lecture 53 SUM Function

Lecture 54 MIN Function

Lecture 55 MAX Function

Lecture 56 What are stored procedures

Lecture 57 Creating stored procedure

Lecture 58 Modifying stored procedure

Lecture 59 Creating an advanced stored procedure

Lecture 60 Calling and deleting stored procedures

Lecture 61 Stored procedures and functions

Lecture 62 SQL for Data Analysis

Section 4: Data Analysis with Excel

Lecture 63 Basic Excel for Data Analysis

Lecture 64 Opening a new workbook

Lecture 65 Basic data entry in excel

Lecture 66 Data entry with autofil

Lecture 67 Data entry with date

Lecture 68 Data entry with time

Lecture 69 Undo and redo changes

Lecture 70 Adding comments

Lecture 71 Giving worksheet a title

Lecture 72 Saving your work

Lecture 73 Introduction to Functions and Formulas

Lecture 74 Using formulas for arithmetic tasks

Lecture 75 Re-using Formulas

Lecture 76 Calculating YTD Profits

Lecture 77 Calculating Percentage Change

Lecture 78 Relative and Absolute Reference

Lecture 79 Using RANK Function

Lecture 80 STD Function

Lecture 81 Small and Large Functions

Lecture 82 Median Function

Lecture 83 Count and counta functions

Lecture 84 What is Power Query

Lecture 85 Connecting to a data source

Lecture 86 PLEASE READ

Lecture 87 Preparing your query

Lecture 88 Cleansing data

Lecture 89 Enhancing query

Lecture 90 What is Power Pivot

Lecture 91 Creating a data model

Lecture 92 Importing data and creating relationships

Lecture 93 Create lookups with DAX

Lecture 94 Analyze data with Pivot Tables

Lecture 95 Analyze data with Pivot Charts

Lecture 96 Refreshing Source Data

Lecture 97 Updating Queries

Lecture 98 Creating new reports

Lecture 99 Data sorting and filtering

Lecture 100 Formulas and functions

Lecture 101 PivotTables and PivotCharts

Lecture 102 Intermediate Excel for Data Analysis

Lecture 103 Conditional formatting

Lecture 104 Lookup & Reference Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

Lecture 105 Advanced Excel for Data Analysis

Lecture 106 Data validation

Lecture 107 What-If Analysis

Section 5: Introduction to Macros

Lecture 108 Introduction to macros

Lecture 109 What are Macros

Lecture 110 What is VBA

Lecture 111 Activating Macros and VBA Tools

Lecture 112 Exploring VBA Tools

Lecture 113 Creating a basic Macro

Lecture 114 Saving a worksheet with a macro

Lecture 115 Creating a another macro: Part 1

Lecture 116 Creating a another macro: Part 2

Lecture 117 Exploring Macros with VBA Editor

Lecture 118 Commenting and deleting macro code

Lecture 119 Editing Macros

Lecture 120 Sorting data with Macros

Lecture 121 Filtering Data with Macros

Lecture 122 Creating buttons to run Macros

Lecture 123 Protecting cells and sheets with Macros

Lecture 124 Debugging Macros: Part 1

Lecture 125 Debugging Macros: Part 2

Lecture 126 Debugging Macros: Part 3

Lecture 127 Manually Create Macros

Section 6: Introduction to Power BI and DAX

Lecture 128 What is Power BI

Lecture 129 What is Power BI Desktop

Lecture 130 Installing Power BI Desktop

Lecture 131 Exploring Power BI Desktop Interface

Lecture 132 Microsoft 365 Setup

Lecture 133 Getting Started with Microsoft 365

Lecture 134 Creating a new user account in Microsoft 365

Lecture 135 Connecting to data sources

Lecture 136 Power BI Overview - Part 1

Lecture 137 Power BI Overview - Part 2

Lecture 138 Power BI Overview - Part 3

Lecture 139 Components of Power BI

Lecture 140 Building blocks of Power BI

Lecture 141 Exploring Power BI Service

Lecture 142 Connecting to online data

Lecture 143 Clean and transform data - part 1

Lecture 144 Clean and transform data - part 2

Lecture 145 Combine data sources

Lecture 146 Power BI Visualizations

Lecture 147 Creating charts, graphs, and tables

Lecture 148 Interactive visuals

Lecture 149 Visualizing data - Part 1

Lecture 150 Visualizing data - Part 2

Lecture 151 Publishing report to Power BI Service

Lecture 152 Connecting to Microsoft Access Data Source

Lecture 153 Power Query Editor

Lecture 154 Creating and managing Query Groups

Lecture 155 Renaming Queries

Lecture 156 Splitting Columns

Lecture 157 Changing data types

Lecture 158 Removing and reordering columns

Lecture 159 Creating conditional columns

Lecture 160 Connecting to files in folder

Lecture 161 Appending queries

Lecture 162 Merging Queries

Lecture 163 Query dependency view

Lecture 164 Power BI Transformations

Lecture 165 Data cleaning and transformations

Lecture 166 Transforming less structured data

Lecture 167 Creating tables

Lecture 168 Query Parameters

Lecture 169 Data Modelling

Lecture 170 Data Modeling in Power BI

Lecture 171 Relationships in Power BI

Lecture 172 Creating and managing data relationships

Lecture 173 Creating calculated columns

Lecture 174 Optimizing models for reporting

Lecture 175 Applying Filters to Visualizations

Lecture 176 Time Intelligence

Lecture 177 Time intelligence functions

Lecture 178 Introduction to DAX

Lecture 179 Basic DAX functions and syntax

Lecture 180 DAX measures and calculated columns

Lecture 181 Advanced DAX

Lecture 182 Filter and value DAX functions

Lecture 183 Star Schema and Snowflake Schema

Section 7: 6: Dashboards and Data Storytelling

Lecture 184 Designing Dashboards in Power BI

Lecture 185 Principles of good dashboard design

Lecture 186 Power BI Dashboard vs Power BI Report

Lecture 187 Data Storytelling

Lecture 188 Importance of storytelling in data analysis

Lecture 189 Techniques for effective data storytelling

Lecture 190 Project: Build Your Own Dashboard

Lecture 191 Build a business-oriented dashboard using learned tools

Section 8: Example Captone Project using the tools

Lecture 192 Example Project

Beginners interested in learning data analysis and business intelligence tools.,Professionals who want to enhance their data analysis skills.,Data analysts aiming to learn new tools and techniques.,Data analysts aiming to learn new tools and techniques.,Students in the fields of business, data science, or related disciplines looking to augment their skills.