
a) Vlookup Formula
b) Hlookup Formula
c) Xlookup Formula
d) Filter Formula
e) & Formula
f) Textjoin Formula
g) Sumif Formula
h) Sumifs Formula
i) Countif Formula
j) Countifs Formula
a) Importing Data from Files
b) Append Excel Tables
c) Merge Different Tables
d) Data Modelling aspects
e) Data Cleaning & Transformations
f) Adding Columns
g) Merging Columns
i) Split Columns
j) Pivot Columns
k) Unpivot Columns
l) Group Columns
m) Using features of Column from Examples
n) And function
o) Or function
p) If statement
a) Creating a prompt for SUM
b) Creating conditional IF Statement prompt
c) Creating prompt for Average of numbers
d) Creating conditional IF Statements(advance multiple conditions )
e) Data Cleaning Prompts
f) Prompts for aggregation with if statement
g) Creating a sample table with structure and records
a) Creating Pivot Tables
b) Creating Pivot Charts
c) Creating Data Analysis Dashboard of Employee Salaries based on Education
d) Creating Data Analysis Dashboard of Retail Domain
e) Creating Data Analysis Dashboard of KPIs of IT Infrastructure
Data analysts routinely use Microsoft Excel to organize, interpret, and evaluate data. The program includes numerous tools and features crucial to the data analysis process. Pivot tables transform chaotic, overwhelming datasets into useful, structured information while pivot charts allow you to visualize data using line graphs, bar charts, area charts, and other graphical representations. Conditional formatting is another tool for organizing data into easy-to-understand, eye-catching visuals. If you want to display the need-to-know information succinctly and beautifully, you can use an Excel feature called dashboards to do so.
Functions such as VLOOKUP, XLOOKUP, and FILTER constitute the foundation of most Excel data analysis capabilities. Using functions, you can search for and retrieve data, detect errors, organize information, perform complex mathematical operations, and much more.
Pivot tables and pivot charts allow you to organize large quantities of data in meaningful ways, identify patterns and trends, and answer questions about the data. Data analysts often use these powerful tools to analyze income and expenses and understand how resources are allocated in a business.
Microsoft Excel is one of the most widely used software applications in the country. With Excel, you can organize and analyze data, perform calculations, identify errors, visualize information, and even make predictions about changing variables. Developing Microsoft Excel skills is crucial for the data analysis field.