Mô tả

Instructor Symon He hosts near daily LIVE office hours on TikTok 10:30PM PDT. Find him @SymonHe.


Ibadullah Khalil - 5 Stars

“A great instructor and guide for the course. All topics were well driven and to the point with no gibberish language used to make it difficult for the learners just like other instructors. A highly recommended course for every beginner who aims to become a data analyst”

 

Jianyong Chen - 5 Stars

“This is one of the best course I took on Udemy so far. The instructors explained everything in detail and there are practices after each section. Make sure you download all the files, practice on your own, and you will learn a lot. Highly recommend!”

 

 

Every business generates data.  But whether you're able to turn that into useful insights depends on your ability to process, manipulate, and ultimately translate that data.

Whether you're working for a company or running your own, being able to make better decisions requires you to be able to analyze and interpret data.  

What data do you need? How do you prep that data? How do you analyze it to answer specific questions?

In this course, we're going to show you step-by-step, exactly how to do that, by starting with the very basics.  

 

Why Microsoft Excel?

 

This course is as much about Excel, if not more, than data analysis concepts and techniques. Why?

 

Excel is still the most popular tool used by analysts in all industries, across all roles.  It's used by financial analysts, marketing analysts, sales analysts, and of course, data analysts.  

Yes, there are many tools out there but if you learn and master the core concepts and techniques of data analysis in Excel, you'll be able to apply your knowledge to a broad range of applications.

 

Don’t underestimate Excel--a single worksheet can technically hold more than 17 BILLION data points (granted, it will make your computer REALLY slow). Fortunately, most of us running analysis will need to process far fewer data points than that. Still, it speaks to the power of the program.

 

Maurizio Zippo - 5 Stars

“This is one of the best course I have ever taken and thoroughly enjoyed. Highly recommended if you want to brush up your existing Excel Skills and to learn how to build some complicated formulae. The Pivot Table and Charts were something I always struggled with but thanks to Symon and Travis' explanations they are now so easy to use every day at work, saving me tonnes of time! Many Thanks Symon and Travis for putting together this great course you are my Excel heroes! The case studies on Cryptocurrency and The Start Up Market are absolute gems! I can't wait to get started with your next course.”

 

Why learn from us?

 

By signing up with us, you will be learning from two instructors with a combined 35 years of relevant experience across a wide range of analyst roles.  

 

Travis has been a digital marketer, investor, and entrepreneur for 20 years. He’s led growth in Asia for Groupon and even helped build Excel when he was as an engineer at Microsoft.  He is a data analysis and data visualization expert who pulls from his industry experience to teach some of the advanced data analysis topics you’ll find in this course. 

 

Symon has been interpreting and analyzing data for 15 years.  He has served as a financial analyst, marketing analyst, and even head of marketing analytics across half a dozen industries.  If you look at his other courses on Udemy, you'll see that he is an Excel and analysis ninja, having taught nearly 180,000 students with over 18,000 reviews.  

 

Together, we’ve pulled directly from our personal experience and put everything we could into this course. In fact, all of the case studies you’ll find inside are inspired by real-world projects we’ve worked on.

 

What if I don't have any data analysis or Excel background?

 

No worries! This is why we start with the very basics in our foundational sections, which is designed to get you familiar with Excel before we move on to more advanced topics.  You can be a complete beginner and take this course.  It might sometimes feel like you're drinking out of a fire hose, but if you put in the time and effort we promise you’ll see results by following our course and doing the exercises. 

 

We then progressively increase the difficulty as you move along in the course, culminating in advanced techniques taught through our case studies.  

If you do have an Excel background, you can skip or skim through the foundational sections and move directly into the more advanced topics.  

 

Stephen Dias - 5 Stars

“If you're trying to learn the foundations of excel this course is all you need.”

 

Brandon Parker - 5 Stars

“I have a lot of experience building excel models and purchased the course for the case studies. I didn't expect to learn much from the introductory parts but was surprised to find additional keyboard shortcuts I had never learned as well as powerful new functions that will make my life a lot easier. This course helped me brush up on functionality that I often neglected while using excel and was super comprehensive. I look forward to continuing using this course as additional case studies are added and highly recommend it for even excel experts.”

 

Learn through practice.

Like most things in life, becoming proficient at data analysis in Excel takes practice.  A lot of practice.

 

Sure, you'll pick up plenty just from watching, but you'll be doing yourself a disservice if you don't download our more than 100 custom-built Excel practice files specifically designed to help you master the program.

 

We're not done adding all our content yet, either.  This class was initially created an "intro" course, but it will soon become a complete coverage of all things data analysis in Excel.  

 

In conclusion, does any of the following apply to you?

 

    1.     Do you want to really know your way around Excel?

    2.     You have data for your work or business but you're not sure what to make of it?

    3.     You might know your way around Excel but you're not confident about turning data into business insights

    4.     You frequently receive Excel spreadsheets from others but want to better understand how they arrived at their conclusions?

    5.     You want to learn the best practices when it comes to using Excel for data analysis.

    6.     You are intimidated by spreadsheets and terms like Pivot Tables and VLookups

    7.     You want to learn a skill set that is useful for any role in any industry you get into later.

 


If so, then take charge and take our course.

You have absolutely ZERO risk. Udemy gives you a solid-as-an-oak-tree 30-day money back guarantee.  You have nothing to lose and everything to gain.


So if you're ready to go from data deficient to data proficient, enroll now!

 

 

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15 sections

Watch This First

3 lectures
Course Intro.
01:14
A few reminders before we begin
01:23
COURSE FILES
00:11

Jumpstart

7 lectures
Jumpstart Overview
04:55
JUMPSTART NOTE
00:40
Jumpstart Part 1
08:49
Jumpstart Part 2
06:22
Jumpstart Part 2 Filtering Unique Values
03:11
Jumpstart Part 3
06:48
Quick Reminder
00:26

Getting Acclimated with EXCEL - Foundations

15 lectures
Getting Acclimated Section Overview
00:27
EXCEL User Interface
05:21
Adding, Deleting, and Editing Data in a Cell
03:01
Introduction to Keyboard Shortcuts
01:51
50 Time Saving Excel Shortcuts
00:09
Navigation Keyboard Shortcuts
02:34
Data Selection Keyboard Shortcuts
02:20
Inserting and Deleting Rows and Columns
04:21
Auto Fit Row and Column Size
01:31
Freeze Panes and Split Boxes
04:32
Formatting Numbers
07:24
Formatting Cells
04:03
Grouping and Hiding Rows or Columns
01:57
Installing EXCEL Add-Ins
00:49
Quiz #1
6 questions

Basic EXCEL Formulas & Functions - Foundations

17 lectures
Basic Excel Formulas & Functions Section Overview
00:32
Basic Math Functions in Excel
04:48
Conditional Math Functions
06:13
MIN, MAX, and AVERAGE Functions
05:51
Logical Operators and Functions
08:55
Anchoring Cell References and Name Ranges
09:14
Array Functions
05:03
Quick note about next three lectures
00:16
Internal Rate of Return (IRR) Functions
09:17
Net Present Value (NPV) and Cash Multiple
13:09
Loan Amortization Table
03:28
Compound Annual Growth Rate (CAGR)
03:26
Formula Auditing
04:47
Fill Commands
04:10
IS Functions
04:17
Rounding Numbers
06:35
Quiz #2
1 question

Text, Times, and Dates Data Formats - Foundations

16 lectures
Text, Times, and Date Data Formats Section Overview
00:26
Note to EU Students about Date Format
00:20
How EXCEL Treats Text, Times, and Dates Data
04:52
Changing the Case of Text
02:32
Combining Strings of Text Together
02:23
Cutting Substrings from a Text
05:10
Using the FIND Function
05:29
Searching for Specific Text in Data
05:37
Splitting a Text Field into Multiple Columns
03:51
Converting Dates from Text into Values
03:05
Adding and Subtracting Dates
05:14
Compiling Monthly and Annual Totals
04:43
Conducting Day of the Week Analysis
04:06
Combining Date and Time Data
03:40
Adding and Subtracting Times
05:39
Conducting Hours of the Day Analysis
05:17

Introduction to Statistics in EXCEL - Foundations

8 lectures
Introduction Statistics in EXCEL Section Overview
00:22
Brief Overview of Statistics
03:35
Mean, Median, & Mode
08:39
Percentile and PercentileRank
06:03
Frequency Distributions
06:40
Standard Deviation and Variance
06:11
Trends in Data
07:18
Introduction to Correlation
06:23

Handling Data in EXCEL

12 lectures
Handling Data Overview
00:37
Lookup with VLOOKUP
04:16
Lookup with HLOOKUP
02:26
Name Arrays for Reuse and Readability
03:22
Group Records with Nested IF Statements
04:20
Avoid Errors with IF and ISNUMBER
05:39
Create Dropdown Lists for Filtering
09:27
Create Unique Lists
04:49
Fast Lookup with INDEX and MATCH
10:00
Multi-Condition Lookup with DSUM
06:23
Create Rankings with SMALL and LARGE
05:26
Multi-Condition Lookup with INDEX and MATCH
05:50

Pivot Tables

9 lectures
Insert a Pivot Table
06:38
Prepare Data for Pivoting
09:10
Learn to Pivot a Table
09:35
Group Rows and Columns
05:24
Format for Readability
05:28
Modify Output Values for Insights
08:25
Insert Calculated Fields
08:16
Sort, Filter and Slicer
08:54
Handle New Data in Pivot Tables
08:21

Introduction to Charts in Excel

15 lectures
Intoduction to Charts in Excel Overview
00:30
Why Use Charts Anyway?
10:11
Line Chart
04:52
Pie Charts
05:35
Bar Chart
03:54
Column Chart - Clustered
06:26
Column Chart - Stacked
05:36
Column Chart - 100% Stacked
05:40
Combination Chart
02:24
Scatter Plot
03:12
Area Chart
04:21
Bubble Chart
05:19
Gantt Chart
04:15
Bullet Chart
09:16
Waterfall Chart
15:19

Case Study: Crytocurrency Data

6 lectures
Cryptocurrency Case Study Overview
03:06
Getting and Prepping the Data
12:53
CORRECTION
00:18
Bitcoin vs S&P500
13:32
Ethereum, Litecoin, & Bitcoin
08:38
Introduction to Moving Averages
11:04

Case Study: Survey Data

5 lectures
Survey Data Overview
03:12
Preparing the Data
06:14
Demographics - Who Are the Survey Respondents?
09:39
Pivoting the Data Part 1
11:05
Pivoting the Data Part 2
06:09

Case Study: The Startup Market

8 lectures
So, You Want to Do a Startup
03:12
A Note On Data Preparation
03:57
Scan the Data
02:02
Dig into the Categories
08:55
Exercise 1
01:10
Pivot and Chart Part 1
07:31
Pivot and Chart Part 2
08:29
Analysis Leads to Finding
05:01

Case Study: Data Preparation (for Startup Market Data)

6 lectures
Startup Funding CSV File Import
15:21
Import and Fix Startup Info Data - Part 1
12:06
Import and Fix Startup Info Data - Part 2
11:34
Import and Fix Startup Info Data - Part 3
07:36
Join the Two Tables
12:28
Make Unique Lists
05:40

Appendix: Bonus Topics

3 lectures
How to extract/copy unique values from a column of data
02:44
How to filter list for unique data points only
03:11
How to model timing contingencies
09:29

New to Udemy?

2 lectures
OPTIONAL: How to use Udemy, download files, etc...
19:13
NOTICE: Temporary Udemy Technical Issue
01:27

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