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Asen Gyczew

What is the aim of this course?   

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What is the aim of this course?   

Excel is the most often used first-choice tool of every business analyst and consultant. Maybe it is not the fanciest or most sophisticated one,  yet it is universally understood by everybody especially your boss and your customers.    

Excel is still a pretty advanced tool with countless features and functions. I have mastered quite a lot of them during my studies and while working. After some time in consulting, I discovered that most of them are not that useful; some of them bring more problems than solutions. On top of that, there are features that we are taught at university that are not flexible and pretty time-consuming.  While working as a business analyst I developed my own set of tricks to deal with Excel  I learned how to make my analyses idiot-proven and extremely universal.    

I will NOT teach you the entire Excel as it is simply not efficient (and frankly you don’t need it). This course is organized around the 80/20 rule and I want to teach you the most useful (from a business analyst/consultant perspective) formulas as fast as possible. I want you also to acquire thanks to the course good habits in Excel that will save you loads of time.   

If done properly, this course will transform you in 1 day into a pretty good business analyst that knows how to use Excel in a smart way.

This course is based on my 15 years of experience as a consultant in top consulting firms and as a Board Member responsible for strategy, performance improvement, and turn-arounds in the biggest firms from Retail I have carried out or supervised over 90 different performance improvement projects in different industries that generated in a total of 2 billion in additional EBITDA. On the basis of what you will find in this course, I have trained in person over 100 consultants, business analysts, and managers who now are Partners in PE and VC funds, Investment Directors and Business Analysts in PE and VC, Operational Directors On top of that my courses on Udemy were already taken by more than 224 000 students including people working in EY, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.

I teach step by step on the basis of Excel files that will be attached to the course. To make the best out of the course you should follow my steps and repeat what I do with the data after every lecture. Don’t move to the next lecture if you have not done what I show in the lecture that you have gone through.   

I assume that you know basic Excel so the basic features (i.e. how to write formulas in Excel) are not explained in this course. I concentrate on intermediate and advanced solutions and purposefully get rid of some things that are advanced yet later become very inflexible and useless (i.e. naming the variables). In the end, I will show 4 full-blown analyses in Excel that use the tricks that I show in the lectures.   

To every lecture, you will find attached  (in additional resources) the Excel shown in the Lecture so as a part of this course you will also get a library of ready-made analyses that can, with certain modifications, be applied by you in your work.   

Why have I decided to create this course?   

I have done a number of courses showing you how to analyze data in Excel. Yet, I have noticed that some students lack fluency in operations in Excel. This course is designed to fill in the gap and help you fully appreciate my other courses for business analysts and consultants. It can be used also as a standalone course that will help you to be smart in Excel      

In what way will you benefit from this course?   

The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve the speed with which you do the analyses as well as the quality of the conclusions coming out of available in your company data. There is little theory – mainly examples, a lot of tips from my own experience, and other notable examples worth mentioning. Our intention is that thanks to the course you will know:   

  1. How to use Excel in a smart way to be able to analyze data fast and efficiently

  2. How to draw conclusions from analyses – chosen examples of analyses

  3. How to be efficient in your work as an analyst?

  4. How to build Excels that is understandable for you and your team, even after some time

You can also ask me any question either through the discussion mode or by messaging me directly.    

How the course is organized?   

The course is divided currently into the following sections:   

  • Introduction. We begin with a little intro to the course   

  • How to merge data from different sources. Quite often as an analyst, you will have to combine data from different sources. In this section, I will show you how to do it using the VLOOKUP function and others to make sure that you can easily combine data from different tables into the desired analysis. You will also see how to use

  • Cleaning and unifying data.  50% of your time will be lost on setting the data right so it can be used for analyses. In this section, you will      learn how to clean and unify data fast   

  • How to use the IF function and what you can do instead? Most of the analyses require you to make them dependable on something. For this, you can use the IF function which gets messy with more complicated formulas. I will show you how to avoid the mess and in most cases not use the IF function   

  • Pivot Tables. As a business analyst, you will have to look at data on different levels. I will show you how to do it with Pivot Tables, and Pivot Charts, and what to do instead.   

  • Other useful functions. In this section, I will show you other useful functions that you should master   

  • Example of analysis. Here we show a full analysis from start to end including drawing conclusions. This will show you want should be the end result   

  • Tools for analyzing data. On top of the Excel functions, you have available other tools in Excel that we will discuss in the section. Most of them save you a lot of trouble in analyzing data   

  • Being faster with Excel. If you spend 6-8 hours a day with Excel you have to be fast and not to waste your valuable time. Here I will show you  how to do it   

  • Visual Basic – the main things you should know. Sometimes it is much easier to do something in Visual Basic than go via typical Excel formulas. In some cases, Visual Basics create new opportunities. Here I will show you the most useful elements of Visual Basic.   

  • Essential  Excel shortcuts. In this section, we will discuss the essential shortcuts that will help you do the analyses much faster.

You will be able also to download many additional resources   

  • Excels with analyses shown in the course

  • Links to additional presentations and movies

  • Links to books worth reading

At the end of my course, students will be able to…   

  • You will master the most crucial functions and features of Excel

  • Understand the main challenges in analyzing data in Excel

  • Perform the analyses in a very effective manner

Who should take this course? Who should not?   

  • Business analysts

  • Researchers

  • Controllers

  • Consultants

  • Small and medium business owners

  • Startups founders    

What will students need to know or do before starting this course?   

  • Basic Excel

  • Basic knowledge of economics or finance

Enroll now

What's inside

Learning objectives

  • You will master the most crucial functions and features of excel
  • Understand the main challenges in analyzing data in excel
  • Get ready made analyses in excel
  • Analyze complex business problems in excel
  • You will master essential excel shortcuts that will help you drastically speed up your work in excel
  • You will learn how to structure analysis in excel for your work as management consultant or business analyst

Syllabus

Introduction

Excel is still a pretty advanced tool with a countless number of features and functions. I have mastered quite a lot of them during my studies and while working. After some time in consulting, I discovered that most of them are not that useful; some of them bring more problems than solutions. On top of that, there are features that we are taught at university that are not flexible and pretty time-consuming.  While working as a business analyst I developed my own set of tricks to deal with Excel  I learned how to make my analyses idiot-proven and extremely universal

I will NOT teach you the entire Excel as it is simply not efficient (and frankly you don’t need it). This course is organized around the 80/20 rule and I want to teach you the most useful (from a business analyst/consultant perspective) formulas as fast as possible. I want you also to acquire thanks to the course good habits in Excel that will save you loads of time.

Read more

A few words about your humble teacher

Here I will show you what to do if a blurry image appears

Here I will show you how to find additional resources attached to the coruse like Excel files, presentations, links etc.

Here I give you some tips how you can get the best out of the course

How to merge data from different sources

During consulting projects, you will have to merge data from different sources to create a nice presentation. In this section, we will discuss how to do it in practice, and what excel functions you should use. We will use in this section extensively functions like VLOOKUP, HLOOKUP, MATCH, and many others.

In this lecture, I will show you how to use one of the most useful functions - the VLOOKUP.

In this lecture, I will show you how to use one of the most useful functions - the VLOOKUP. We will look at the additional value coming from the so-called approximate match

In this lecture, we show you what you can use the VLOOKUP function for. It is one of the most widely used functions that simplifies a lot of things

We start with basic VLOOKUP Usage just to show you the flavor and basic construction of VLOOKUP.

VLOOKUP can be used to assign categories. This helps you easily by creating rules to divide data into segments, and cohorts and analyze them, drawing conclusions.

HLOOKUP is a cousin of VLOOKUP. It is not that often used independently but has some serious application when combined with VLOOKUP.

Another useful function is the so-called MATCH. We will see what it gives you.

In this lecture, I will show you how to assign categories using VLOOKUP and MATCH. You have the categories described in the matrix and you want to use them

In this lecture, I will show you how to assign categories using VLOOKUP and HLOOKUP. MATCH can be used as an alternative to the HLOOKUP

When you have more than 2 categories you have to resort to a number of tricks and the VLOOKUP function. I will show you on the basis of 2 criteria how to do it

We continue with the example from previous lecture and show you how to approach cases when you have 3 criteria. This method can be scaled to any number of criteria

To assign categories that are numbers you can also use Sumifs which works for many criteria. In this lecture, I will show you how to use it. Later on, I will use it to assign also categories that are not numbers but for example names

Now we will use the SUMIFS to assign to every person a segment that he belongs to. We will do it in 2 phases. First, we will assign a number that will represent a specific segment, and then using VLOOKUP we will change this into a name.

In this lecture, I will show you the data we will need to solve the case study.

In this lecture, we will solve the previously introduced case study.

Some firms use heavily INDEX function. Let's see how it can be used in practices

Now let's combine INDEX and MATCH functions.

Now let's combine INDEX and MATCH funciton

Example of analysis requiring merging data

In this case we will analyze what is the fuel usage for different cars, what it depends on and how to optimize it

In this lecture we will give you some tips how to approach the case and show you the usage of the proper Excel functions

In this lecture we solve the case with you, show you the outcome, interpret it and give you examples how the results can be presented in terms of Excel and slides

We show you how to clean data and unify it to get one data set that you can work on and produce analyzes

In many cases the data you have to work with are far from ideal.  I will show you what you can do when you want to join or divide data point, how to unify and standardize it

In many cases you have create categories / tags on the basis of the name of the data point. I will show you here how to do it automatically

Sometimes you want to divide 1 data point into 2 seprate ones. I will show you in this lecture how to do it

Sometimes you want to join 2 data points into 1. I will show you in this lecture how to do it

In this lecture I will show you how to standardize data points to make analyses much easier

We will now try to check in practice how to find saturation point for a retailer. In this lecture I will introduce the case that we will work with for the next few lectures. You will be asked to find the saturation for grocery store operating in Poland

In this lecture we solve previously introduced case.

Here I will show you how to create a waterfall graph

Learn all alternatives that you can use instead of IF function

IF function can be very problematic. I will show you in this lecture why is not always the best choice

We start with showing you how to use the IF function

In many cases IF can be replaced successfully with VLOOKUP. I will show you how to do it and what are the benefits

In some cases you need to use IFERROR. It can be used as a replacement for IF or independently

Sometimes make sense to use MIN and MAX instead of IF. I will show you how and when to do that

Pivot Tables help you group data and analyze them fast. You can go from general to specific within seconds thanks to pivot tables. I will show you in this lecture how to use pivot tables

Pivot Tables help you group data and analyze them fast. You can go from general to specific within seconds thanks to pivot tables. I will show you in this lecture how to use pivot tables, what you can use instead.

We start with basic usage of pivot tables

A cousin of pivot tables is the pivot chart. I will show you how to use the pivot charts and how does it relate to pivot tables

It is not easy to get data from pivot tables. I will show you how to do it without any complications and special formulas

Slicers are a nice add-on to pivot tables and pivot charts that enable you fast filtering without any knowledge of pivot tables. They can be successfully used to create i.e. dashboards

Sometimes you need more Excel like to build on the basis of this. I will show you how to get the same results without pivot tables

Pivot tables enable you to go from general to specific. I will show you how to do it 

Most producers / brand owners operate using many sales channels: wholesalers, own shops, e-commerce, marketplace etc. It makes sense to check how profitability looks across channels and what can e done to improve overall situation. I will show you how it cane be done with a simple Excel analysis and a pivot table. I will go also try to demonstrate what kind of conclusions can you draw and what should be your next steps, on the basis of the results you are getting form the analyses

Here we discuss other useful functions and tools that you should master

In this section we will discuss other useful tools from Excel like Conditional Formating, indirect function, data validation, regression, go seek. solver and many more. They will help you deliver your work fast and efficiently

Conditional Formatting helps your data be more understandable to people. This is a great tool for creating dashboards. I will show you how to use them.

Indirect function enables you to  make very complicated function with flexible area to which it relates. I will show you how to do it

Histograms help you see the frequency of data occurrence and to see what is the distribution. I will show you how to calculate it using build-in tools in Excel

A regression model is a powerful tool you can use to analyze data, predict things, find relations between different phenomena. I will show you how to use it in Excel.

You can limit the freedom of people in the input of data. Using data validation you can for example you can create a list from which they will have to choose defined options. I will show you how to do it

SUMPRODUCT is a great function that you can use to calculate faster the revenues of the firm by weighted average. I will show you how to do it in Excel.

Let’s have a look at car producer that is wandering which plant should supply to which country 

In this lecture I will show you how to use solver to find optimal solution to the case of planning the flow of finished goods between factories and markets 

Try to estimate at what age can Peter retire using his own savings. To estimate the age of retirement use the backward reasoning

In this lecture I will show you the solution to previously introduced case study

Future is pretty difficult to figure out. You can use scenario analysis or you check ALL the potential options and see which is optimal. I will talk about this technique in this lecture and when to apply it. The impact of the price change on your profit will depend on a few factors. I will discuss in this lecture on what you should take into account and how to calculate it .

In this lecture I will show you how to solve the case shown in the previous lectures

Here we will go through some examples of analysis done in Excel

Here I will show you some examples of analyses using things we have learned so far

Here I will show you how to estimate efficiency of marketing activities

Here we show how to model the business model of e-commerce


In this lecture I will start the case study that we will be solving for the next few lectures. Imagine that you are a Spanish fashion retailer and you want to figure out which countries you should enter. Therefore, you prepare a ranking of countrires that show attractivness and the size of each and every market.

Here I will show you how to create a waterfall chart

Here I will show you how to create a scatter plot with the names of the data points

Data Visualization
I will show you basic VBA that you should master as a Business Analyst. It will help you automate some of the work and analyses

In this case we will do the simulation of the whole logistics system and show you how to choose from many options

Here we will give you tips how to calculate the cost of the whole system and how to prepare for the simulation

We present here final solution to the case. We show how to do the simulation of logistic costs for 8 different options in 5 minutes

In the second section I will discuss essential shortcuts that you have to learn by heart to prepare fast analysis

I will explain you here how it makes sense to master the Excel shortcuts and how they will help you to become more productive

In the second section I will discuss essential shortcuts that you have to learn by heart to prepare fast analysis

In this lecture I will explain you why you should not use the mouse 

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops advanced Excel skills, which are core skills for business analysts and consultants
Taught by Asen Gyczew, who is recognized for their work in consulting
Teaches skills that are highly relevant to business analysts and consultants
Provides ready-made analyses that can be modified by students
Assumes students have basic Excel knowledge
May require additional resources or knowledge for students without a strong foundation in Excel

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Essential Excel for Business Analysts and Consultants with these activities:
Review: Excel for Dummies
Review the basics of Excel to ensure you are ready for intermediate and advanced techniques
Show steps
  • Read chapters 1-3 to introduce yourself to Excel's environment, formulas, and functions
  • Complete the practice exercises at the end of each chapter to test your understanding
  • Create a simple spreadsheet to apply your knowledge and build confidence
VLOOKUP Practice
Practice using VLOOKUP to combine data from different sources, a fundamental skill for data analysis
Browse courses on VLookup
Show steps
  • Create a spreadsheet with two data sources
  • Use VLOOKUP to combine the data from the two sources
  • Test your VLOOKUP formulas with different scenarios
Pivot Table Tutorial
Learn how to use Pivot Tables to summarize and analyze data more efficiently
Browse courses on Pivot Tables
Show steps
  • Find a tutorial on creating Pivot Tables
  • Follow the tutorial to create a Pivot Table on a sample data set
  • Experiment with different Pivot Table options to customize your analysis
Three other activities
Expand to see all activities and additional details
Show all six activities
Study Group: Excel Shortcuts
Exchange tips and tricks with peers to enhance your Excel proficiency
Browse courses on Excel Shortcuts
Show steps
  • Form a study group with other course participants
  • Share your favorite Excel shortcuts and techniques
  • Learn new shortcuts and techniques from others
Data Cleaning and Analysis Project
Apply your newfound data cleaning and analysis skills to a real-world dataset
Browse courses on Data Cleaning
Show steps
  • Choose a dataset to work with
  • Clean the data using techniques learned in the course
  • Create visualizations and analyze the data
  • Prepare a presentation to showcase your findings
Contribute to an open-source Excel library
Gain hands-on experience with Excel development by contributing to an active project
Browse courses on Open Source
Show steps
  • Choose an open-source Excel library to contribute to
  • Review the project documentation and identify areas for improvement
  • Write code to implement new features or fix bugs
  • Submit a pull request with your changes

Career center

Learners who complete Essential Excel for Business Analysts and Consultants will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses data to solve business problems and to develop new products and services. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Data Scientists. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Data Scientist.
Statistician
A Statistician collects, analyzes, and interprets data to help businesses and organizations make informed decisions. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Statisticians. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex statistical analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Statistician.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Data Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Data Analyst.
Risk Analyst
A Risk Analyst assesses and manages risk for businesses and organizations. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Risk Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Risk Analyst.
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics, including business strategy, operations, and marketing. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Consultants. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Consultant.
Management Analyst
A Management Analyst develops and implements systems to improve an organization's efficiency and effectiveness. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Management Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Management Analyst.
Business Analyst
A Business Analyst works with businesses to identify and solve problems, and to improve their performance. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Business Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Business Analyst.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex business problems. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Operations Research Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as an Operations Research Analyst.
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Actuaries. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as an Actuary.
Economist
An Economist studies the production, distribution, and consumption of goods and services. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Economists. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as an Economist.
Market Research Analyst
A Market Research Analyst conducts research to help businesses understand their customers and make informed decisions. This course can help build a foundation in data analysis and problem-solving, which are essential skills for Market Research Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Market Research Analyst.
Financial Analyst
A Financial Analyst provides advice and guidance to clients on investment decisions. This course can help build a foundation in data analysis and financial modeling, which are essential skills for Financial Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex financial analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Financial Analyst.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to solve complex problems in finance and investing. This course can help build a foundation in data analysis and financial modeling, which are essential skills for Quantitative Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex financial analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Quantitative Analyst.
Financial Advisor
A Financial Advisor provides advice and guidance to clients on investment decisions. This course can help build a foundation in data analysis and financial modeling, which are essential skills for Financial Advisors. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex financial analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as a Financial Advisor.
Investment Analyst
An Investment Analyst provides advice and guidance to clients on investment decisions. This course can help build a foundation in data analysis and financial modeling, which are essential skills for Investment Analysts. The course covers topics such as data merging, cleaning, and analysis, as well as how to use Excel to perform complex financial analyses. These skills can be applied to a variety of industries and roles, making this course a valuable asset for anyone interested in a career as an Investment Analyst.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Essential Excel for Business Analysts and Consultants.
Covers advanced Excel techniques for business and data analysis professionals. It includes advanced formula creation, data management, and automation using VBA. It provides additional depth and breadth to the course by exploring advanced Excel applications in business contexts.
Focuses on practical techniques for data analysis and modeling using Excel. It explores advanced Excel functions and tools, such as pivot tables, data visualization, and statistical analysis. It complements the course by providing in-depth knowledge for more advanced Excel users.
Provides step-by-step instructions for using the latest version of Microsoft Excel. It covers various topics that supplement the course, including data manipulation, analysis, charting, and more. It serves as a quick reference guide or additional resource for understanding Excel fundamentals.
Combines Excel and VBA for data analysis and business modeling. It covers advanced Excel techniques, VBA programming, and case studies. It provides a deeper understanding of how Excel and VBA can be used together for more complex data analysis and automation tasks.
Provides a broad introduction to data science for business professionals. It covers data science concepts, techniques, and applications in various business domains. It offers a wider perspective on data science, complementing the course's focus on Excel-based techniques.
Emphasizes the application of Excel in data analysis and visualization. It covers data cleaning, statistical analysis, hypothesis testing, and creating interactive dashboards. It complements the course with a focus on using Excel for data-driven decision-making and storytelling.
Introduces essential VBA programming concepts for Excel. It teaches how to automate tasks, create custom functions, and enhance Excel's functionality. It provides a foundation for learners who want to explore beyond basic Excel functions and delve into automation.
Provides a comprehensive introduction to R programming for data science. It covers data exploration, visualization, statistical modeling, and machine learning. It offers an additional perspective on data analysis, using a different programming language and tools.
Provides a comprehensive introduction to statistics for business and economics. It covers statistical principles, methods, and applications in business contexts. It offers a foundation in statistics, which is essential for understanding and interpreting data analysis results.
Introduces Python for data analysis, covering data cleaning, manipulation, visualization, and modeling. It provides a foundation for learners interested in using Python for data analysis tasks, complementing the course's focus on Excel.
Covers data visualization using Microsoft Power BI. It teaches how to create interactive dashboards, reports, and visualizations for data analysis. It provides learners with an alternative tool for data visualization, extending their knowledge beyond Excel's capabilities.
Introduces the Tableau software for data visualization and analysis. It covers data preparation, visualization techniques, interactive dashboards, and storytelling with data. It offers a supplementary perspective on data visualization, providing learners with exposure to another industry-standard tool.

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