HOT
blank

BI Analyst Tools: (Excel, VBA, SQL, Power Query, Power BI)

Business

BI Analyst Tools: (Excel, VBA, SQL, Power Query, Power BI), available at $49.99, has an average rating of 4.1, with 192 lectures, based on 30 reviews, and has 1173 subscribers.

Rating4.1
Enroll Now

You will learn about 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. This course is ideal for individuals who are Beginners interested in learning data analysis and business intelligence tools. or Professionals who want to enhance their data analysis skills. or Data analysts aiming to learn new tools and techniques. or Data analysts aiming to learn new tools and techniques. or Students in the fields of business, data science, or related disciplines looking to augment their skills. It is particularly useful for Beginners interested in learning data analysis and business intelligence tools. or Professionals who want to enhance their data analysis skills. or Data analysts aiming to learn new tools and techniques. or Data analysts aiming to learn new tools and techniques. or Students in the fields of business, data science, or related disciplines looking to augment their skills.

Enroll now: BI Analyst Tools: (Excel, VBA, SQL, Power Query, Power BI)

Summary

Title: BI Analyst Tools: (Excel, VBA, SQL, Power Query, Power BI)

Price: $49.99

Average Rating: 4.1

Number of Lectures: 192

Number of Published Lectures: 192

Number of Curriculum Items: 192

Number of Published Curriculum Objects: 192

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

  • 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.

Target Audiences

  • 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.

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.

Course Curriculum

Chapter 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

Chapter 2: MySQL Database Server Setup

Lecture 1: What is MySQL

Lecture 2: MySQL Installation on Windows

Lecture 3: MySQL Installation on Mac

Lecture 4: Introduction to MySQL Workbench

Lecture 5: Installing MySQL Workbench on Macs

Lecture 6: Basic Database Concepts

Lecture 7: What is a Schema

Lecture 8: Database Schema

Lecture 9: MySQL Data Types

Chapter 3: Basics of SQL

Lecture 1: Introduction to SQL

Lecture 2: SQL Syntax

Lecture 3: Data Definition Language (DDL)

Lecture 4: CREATE Database Statement

Lecture 5: CREATE Table Statement

Lecture 6: INSERT INTO Statement

Lecture 7: SELECT Statement

Lecture 8: UPDATE Statement

Lecture 9: DELETE Statement

Lecture 10: Intermediate SQL

Lecture 11: SQL Indexes

Lecture 12: Introduction to Table Joins

Lecture 13: INNER Join

Lecture 14: LEFT Join

Lecture 15: RIGHT Join

Lecture 16: SELF Join

Lecture 17: Introduction to Views

Lecture 18: Creating Views

Lecture 19: Querying Views

Lecture 20: Modifying Views

Lecture 21: Dropping Views

Lecture 22: Introduction to Sub queries

Lecture 23: Nested Sub queries

Lecture 24: Grouping Rows of data using GROUP BY CLAUSE

Lecture 25: Filtering groups using HAVING CLAUSE

Lecture 26: Sorting data using ORDER BY Clause

Lecture 27: Filtering rows of data using WHERE Clause

Lecture 28: Introduction to Aggregate Functions

Lecture 29: AVG Function

Lecture 30: COUNT Function

Lecture 31: SUM Function

Lecture 32: MIN Function

Lecture 33: MAX Function

Lecture 34: What are stored procedures

Lecture 35: Creating stored procedure

Lecture 36: Modifying stored procedure

Lecture 37: Creating an advanced stored procedure

Lecture 38: Calling and deleting stored procedures

Lecture 39: Stored procedures and functions

Lecture 40: SQL for Data Analysis

Chapter 4: Data Analysis with Excel

Lecture 1: Basic Excel for Data Analysis

Lecture 2: Opening a new workbook

Lecture 3: Basic data entry in excel

Lecture 4: Data entry with autofil

Lecture 5: Data entry with date

Lecture 6: Data entry with time

Lecture 7: Undo and redo changes

Lecture 8: Adding comments

Lecture 9: Giving worksheet a title

Lecture 10: Saving your work

Lecture 11: Introduction to Functions and Formulas

Lecture 12: Using formulas for arithmetic tasks

Lecture 13: Re-using Formulas

Lecture 14: Calculating YTD Profits

Lecture 15: Calculating Percentage Change

Lecture 16: Relative and Absolute Reference

Lecture 17: Using RANK Function

Lecture 18: STD Function

Lecture 19: Small and Large Functions

Lecture 20: Median Function

Lecture 21: Count and counta functions

Lecture 22: What is Power Query

Lecture 23: Connecting to a data source

Lecture 24: PLEASE READ

Lecture 25: Preparing your query

Lecture 26: Cleansing data

Lecture 27: Enhancing query

Lecture 28: What is Power Pivot

Lecture 29: Creating a data model

Lecture 30: Importing data and creating relationships

Lecture 31: Create lookups with DAX

Lecture 32: Analyze data with Pivot Tables

Lecture 33: Analyze data with Pivot Charts

Lecture 34: Refreshing Source Data

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 8 votes
  • 4 stars: 9 votes
  • 5 stars: 12 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Top 10 Relationship Building Courses to Learn in November 2024

Top 10 Storytelling Courses to Learn in November 2024

Top 10 Resilience Training Courses to Learn in November 2024