Saturday, 16 December 2023

Introduction to Data Analysis Using Excel

 


Build your subject-matter expertise

This course is part of the Business Statistics and Analysis Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free:Introduction to Data Analysis Using Excel

There are 4 modules in this course

The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners -  those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.

To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. 
________________________________________
WEEK 1
Module 1: Introduction to Spreadsheets
In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.

Topics covered include:

Reading data into Excel using various formats
Basic functions in Excel, arithmetic as well as various logical functions
Formatting rows and columns
Using formulas in Excel and their copy and paste using absolute and relative referencing
________________________________________
WEEK 2
Module 2: Spreadsheet Functions to Organize Data
This module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. 

Topics covered include:

IF and the nested IF functions
VLOOKUP and HLOOKUP
The RANDBETWEEN function
________________________________________
WEEK 3
Module 3: Introduction to Filtering, Pivot Tables, and Charts
This module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel.

Topics covered include:

VLOOKUP across worksheets
Data filtering in Excel
Use of Pivot tables with categorical as well as numerical data
Introduction to the charting capability of Excel
________________________________________
WEEK 4
Module 4: Advanced Graphing and Charting
This module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own.

Topics covered include

Line, Bar and Pie charts
Pivot charts
Scatter plots
Histograms

0 Comments:

Post a Comment

Popular Posts

Categories

100 Python Programs for Beginner (51) AI (34) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (173) C (77) C# (12) C++ (82) Course (67) Coursera (226) Cybersecurity (24) data management (11) Data Science (128) Data Strucures (8) Deep Learning (20) Django (14) Downloads (3) edx (2) Engineering (14) Excel (13) Factorial (1) Finance (6) flask (3) flutter (1) FPL (17) Google (34) Hadoop (3) HTML&CSS (47) IBM (25) IoT (1) IS (25) Java (93) Leet Code (4) Machine Learning (59) Meta (22) MICHIGAN (5) microsoft (4) Nvidia (3) Pandas (4) PHP (20) Projects (29) Python (930) Python Coding Challenge (358) Python Quiz (22) Python Tips (2) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (3) Software (17) SQL (42) UX Research (1) web application (8) Web development (2) web scraping (2)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses