Data Analyst's Toolbox: Excel, SQL, Power BI

Data Analyst's Toolbox: Excel, SQL, Power BI, available at $79.99, has an average rating of 4.5, with 95 lectures, 4 quizzes, based on 268 reviews, and has 5773 subscribers.

You will learn about Get hands-on experience with 4 groups of skills that needs each data analyst – Excel, SQL, Statistics, and Power BI Learn MS Excel for cleaning, preparing, calculating and analysing data Learn how to write advanced Excel formulas by SUBTOTAL, SUMIFS, COUNTIFS, AVERAGEIFS, VLOOKUP, INDEX, MATCH and other 50+ functions Learn Pivot Tables so you can quickly get insights from your data Learn Statistical Analysis in MS Excel by Data Analysis ToolPak including Descriptive statistics and Linear regression Learn how to perform A/B testing and what is P-value Start using MySQL – the #1 Database Management System Learn how to write complex SQL queries to obtain useful information from the database Learn Microsoft Power BI for analysing and visualizing data Learn how to connect Power BI to an Excel file and MySQL database and create interactive dashboards for these datasets Put all 4 groups of skills together for identifying insights and trends based on real-life data sets This course is ideal for individuals who are Anyone looking for hands-on data analysis course and real-life projects or Anyone looking to pursue a career in data analysis or business intelligence or Business professionals looking to improve their analytical skills and learn more tools for that or Anyone looking to learn different softwares for effective data analysis or Data analysts looking to continue their professional development and career advancement or Students who want a comprehensive, engaging, and highly interactive approach to training It is particularly useful for Anyone looking for hands-on data analysis course and real-life projects or Anyone looking to pursue a career in data analysis or business intelligence or Business professionals looking to improve their analytical skills and learn more tools for that or Anyone looking to learn different softwares for effective data analysis or Data analysts looking to continue their professional development and career advancement or Students who want a comprehensive, engaging, and highly interactive approach to training.

Enroll now: Data Analyst's Toolbox: Excel, SQL, Power BI

Summary

Title: Data Analyst's Toolbox: Excel, SQL, Power BI

Price: $79.99

Average Rating: 4.5

Number of Lectures: 95

Number of Quizzes: 4

Number of Published Lectures: 95

Number of Published Quizzes: 4

Number of Curriculum Items: 99

Number of Published Curriculum Objects: 99

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Get hands-on experience with 4 groups of skills that needs each data analyst – Excel, SQL, Statistics, and Power BI
Learn MS Excel for cleaning, preparing, calculating and analysing data
Learn how to write advanced Excel formulas by SUBTOTAL, SUMIFS, COUNTIFS, AVERAGEIFS, VLOOKUP, INDEX, MATCH and other 50+ functions
Learn Pivot Tables so you can quickly get insights from your data
Learn Statistical Analysis in MS Excel by Data Analysis ToolPak including Descriptive statistics and Linear regression
Learn how to perform A/B testing and what is P-value
Start using MySQL – the #1 Database Management System
Learn how to write complex SQL queries to obtain useful information from the database
Learn Microsoft Power BI for analysing and visualizing data
Learn how to connect Power BI to an Excel file and MySQL database and create interactive dashboards for these datasets
Put all 4 groups of skills together for identifying insights and trends based on real-life data sets

Who Should Attend

Anyone looking for hands-on data analysis course and real-life projects
Anyone looking to pursue a career in data analysis or business intelligence
Business professionals looking to improve their analytical skills and learn more tools for that
Anyone looking to learn different softwares for effective data analysis
Data analysts looking to continue their professional development and career advancement
Students who want a comprehensive, engaging, and highly interactive approach to training

Target Audiences

Anyone looking for hands-on data analysis course and real-life projects
Anyone looking to pursue a career in data analysis or business intelligence
Business professionals looking to improve their analytical skills and learn more tools for that
Anyone looking to learn different softwares for effective data analysis
Data analysts looking to continue their professional development and career advancement
Students who want a comprehensive, engaging, and highly interactive approach to training

Join to over 5,000 students and learn Excel, Statistics, SQL, and Power BI in one course to analyze data, identify trends, design visualizations, and drive business decisions with real‐world data sets. Gain a competitive advantage in the job market.

WHY WOULD YOU CHOOSE TO LEARN DATA ANALYSIS TOOLS?

Data analysis is a process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. Data Analyst is one of the sexiest jobs in nowadays. Knowing of Excel, MySQL, Power BI and Statistics can get you a promotion and make you a rock star at your company.

WHY TAKE THIS SPECIFIC COURSE?

This course is concentrated on the most important tools for performing data analysis on the job. In this course you’ll play the role of data analyst at a delivery company and you’ll be working with real-life data sets. You will learn both technical and business thinking skills, and get important skills to get hired. You don’t need to spend months to learn data analysis tools. As you go through the course, you’ll be able to apply what you learnt immediately to your job.

Author of this course has over 10 years of working experience in large financial organizations and over 5 years of experience of online and in-person trainings. He has dozens of courses on Excel, SQL, Power BI, Access, and more than 20,000 students in total. Surely he knows what you need.

HERE WHY THIS COURSE IS ONE OF THE BEST COURSES ON UDEMY:

★★★★★ Mary Rose

It was well explained and captured the basic elements of the 4 skills.

★★★★★ Vinh Au

This is one of the best course that I’ve taken. The instructor show just enough example to help you understand the concept within a short period of time. No unnecessary information. If you are a beginner and try to learn data analysis. This is the course to take. Highly recommend.

★★★★★ Irina Arakelyan

Very comprehensive course with real work with data and real examples. I found all what I need in one course. I appreciate this instructor and really recommend this course.

WHAT ARE SOME TOOLS AND TECHNIQUES YOU WILL LEARN IN THIS COURSE?

You’ll learn:

1. MS Excel:

· Unlock the power of MS Excel to utilize its analytical tools — no matter your experience level.

· Execute conditional aggregation commands (SUBTOTAL, SUMIFS, COUNTIFS, etc.) to summarize data.

· Practice applying the Pivot Table tool for data analysis of a sample business case.

· Use the VLOOKUP, INDEX and MATCH functions to manipulate data sets in MS Excel.

2. Statistics:

· Understand the value of descriptive and predictive statistics.

· Learn to describe data using its Mean, Median, Mode, Range, and Variance.

· Create Linear regression model by using Data Analysis ToolPak in MS Excel.

· Perform A/B Testing and calculate Statistical Significance of your test.

3. MySQL:

· Filter data using advanced SQL commands (Select, Where, Group By, Having, Order By, Limit).

· Obtain data by creating relationships between tables using Joins.

· Summarize data sets by employing aggregation commands (“Sum,” “Average,” “Count,” etc.).

· Use CASE statements to structure data and create new attributes.

4. Power BI:

· Get hands-on, practical experience navigating the Power BI software interface.

· Connect your data to Power BI and identify the best ways to visualize and display your results.

· Analyze and visualize your data in Power BI in order to answer basic questions.

· Create advanced interactive dashboards for presentation.

So, what are you waiting for? Join today and get immediate, lifetime access to the following:

· 8+ hours on-demand video

· Downloadable project files

· Practical exercises & quizzes

· 1-on-1 expert support

· Course Q&A forum

· 30-day money-back guarantee

· Digital Certificate of Completion

See you in there!

Sincerely,

Vardges Zardaryan

P.S. Looking to master the full Microsoft Excel, Power BI + SQL stack? Search for “Vardges Zardaryan” and complete the courses below to become a Data Analysis Rock Star:

1. Mastering Data Analysis in Excel

2. Mastering Data Analysis with Power BI

3. Data Analyst’s Toolbox: Excel, SQL, Power BI

4. The Complete Introduction to SQL for Data Analytics

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Welcome to the Course

Chapter 2: —– PART 1. Exploring Data in MS Excel —–

Lecture 1: MS Excel for Data Analysis

Lecture 2: Introduction to Data Analyst Role

Chapter 3: Cleaning and Preparing Tools

Lecture 1: Sort and Filter

Lecture 2: Text to Columns

Lecture 3: Remove Duplicates

Lecture 4: Data Validation

Lecture 5: Find, Replace, Go to

Lecture 6: Data Entry Form

Chapter 4: Advanced Forumals and Functions

Lecture 1: Logical Functions: IF, AND, OR

Lecture 2: Math Functions: SUM, COUNT, SUBTOTAL

Lecture 3: Text Functions: LEFT, RIGHT, CONCATENATE, LEN, LOWER, UPPER, PROPER

Lecture 4: Date Functions: YEAR, MONTH, DAY, EOMONTH, DATE

Lecture 5: Conditional Functions: SUMIF, COUNTIF, SUMIFS, COUNTIFS

Lecture 6: Statistical Functions: AVERAGE, AVERAGEIF, AVERAGEIFS

Lecture 7: Financial Functions: PMT, PV, FV, RATE, NPER, NPV, IRR

Chapter 5: Pivot Tables and Lookup Functions

Lecture 1: Introduction to Pivot Table

Lecture 2: Calculated Fields in Pivot Table

Lecture 3: Grouping Data with Pivot Table

Lecture 4: GetPivotData

Lecture 5: VLOOKUP with Exact Match

Lecture 6: INDEX and MATCH functions

Lecture 7: VLOOKUP with Approximate Match

Lecture 8: Format as Table

Lecture 9: Data Model

Lecture 10: Slicer in Pivot Table

Lecture 11: Conditional Formatting

Chapter 6: Part 1 Completed

Chapter 7: —– PART 2. Statistical Analysis with Excel —–

Lecture 1: Calculation of Statistical Metrics

Lecture 2: Scatter Plots

Chapter 8: Data Analysis ToolPak

Lecture 1: Activation of Data Analysis ToolPak

Lecture 2: Descriptive Statistics

Lecture 3: Histogram

Lecture 4: Correlation

Chapter 9: Linear Regression Analysis

Lecture 1: Linear Regression

Lecture 2: Explanation of the Output of Regression

Lecture 3: Muliple Linear Regression

Chapter 10: A/B Testing

Lecture 1: Introduction to A/B Testing

Lecture 2: Visualization of A/B Testing

Lecture 3: Statistical Significance

Chapter 11: Part 2 Completed

Chapter 12: —– PART 3. Managing Data with MySQL —–

Lecture 1: What are SQL and MySQL

Lecture 2: Installing MySQL Workbench

Chapter 13: Basic SQL Queries

Lecture 1: Create Table and Insert Data

Lecture 2: SELECT (DISTINCT) Statement

Lecture 3: WHERE clause

Lecture 4: AND, OR, NOT, IN, and BETWEEN Operators

Lecture 5: LIKE Operator

Lecture 6: INSERT INTO and DELETE FROM Statements

Lecture 7: UPDATE SET Statement

Lecture 8: ORDER BY Statement

Chapter 14: Intermediate Statements and Functions

Lecture 1: Aggregate Functions

Lecture 2: SQL Subqueries

Lecture 3: GROUP BY Statement

Lecture 4: HAVING Statement

Lecture 5: SQL JOINS

Lecture 6: CASE Statement

Chapter 15: Advanced Tips and Tricks in MySQL

Lecture 1: SQL Query – Best Practices

Lecture 2: Comments in SQL

Lecture 3: Export and Import Data

Lecture 4: Stored Procedures

Lecture 5: Practical Exercises with Solutions (Part 1)

Lecture 6: Practical Exercises with Solutions (Part 2)

Chapter 16: Part 3 Completed

Chapter 17: —– PART 4. Visualization with Power BI —–

Lecture 1: Power BI vs MS Excel

Lecture 2: Installing Power BI Desctop

Chapter 18: Data Connection and Preparation

Lecture 1: Connect to XLSX File

Lecture 2: Connect to CSV File

Lecture 3: Connect to SQL Database

Lecture 4: Basic Transformations

Lecture 5: Working with Dates

Lecture 6: Splitting Columns

Lecture 7: Conditional Columns

Lecture 8: Calculated Columns

Lecture 9: Calculation of Statistics

Lecture 10: Apply Transformations

Lecture 11: Managing Data Relationships

Chapter 19: Charts and Visualization Techniques

Lecture 1: Stacked Bar Chart

Lecture 2: 100% Stacked Column Chart

Lecture 3: Pie and Donut Charts

Lecture 4: Column Chart with Line

Instructors

Vardges Zardaryan
Data Analyst, Instructor and Expert of MS Excel

Rating Distribution

1 stars: 5 votes
2 stars: 8 votes
3 stars: 36 votes
4 stars: 98 votes
5 stars: 121 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!

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