Master Data Analysis Using Excel Powerful Tools & Functions

Free Download Master Data Analysis Using Excel Powerful Tools & Functions
Published 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.39 GB | Duration: 10h 42m
Data Analysis With Excel

What you’ll learn
Data Cleaning and Transformation
Power Query
Relative and Absolute cell references
Sumif, Countif, Averageif, Xlookup, Filter, Sort, Subtotal, and Take Functions in Excel
Conditional formatting in Excel
Data Validation
Pivot tables
Data Visualisation
Requirements
A basic understanding of Microsoft Excel’s uses and functions
Description
This course will help you to visualize, analyze and gain insights from your data using excel functions such as SumIf, CountIf, AverageIf, Xlookup, Subtotal, Sort, Filter, Take, etc. and very powerful tools such as Pivot Tables, Dashboards, Power Query. You will develop employable data analyst skills, starting with the Excel basics, what it can do, and the data analysis steps you should follow.Topics included in this course:1- What is data analysis and why is it important.2- Data vs Information3- Clean Data vs Dirty Data4- Why would you want to convert a range into an Excel table5- Relative vs Absolute Cell Reference6- Data Validation7- Conditional Formatting8- Useful Excel Functions for Data AnalysisSumIf Function CountIf FunctionAverageif FunctionXlookup FunctionSubtotal FunctionSort FunctionFilter FunctionTake Function9- Pivot TablesBuilding dashboards to analyze data10- Power QueryGetting familiar with the “Data” tabGetting familiar with Power Query RibbonRemove ColumnsChoose ColumnsRemove RowsKeep RowsUsing Power Query to Transform/Clean – TextUsing Power Query to Transform/Clean – NumbersUsing Power Query to Transform/Clean – Date and Time11- Get Data from a Folder using Power Query12- Get Data from a latest file in a folder Using Power Query
Overview
Section 1: Introduction
Lecture 1 What is Data Analysis
Section 2: Table, Cell References, Data Validation, and Conditional Formatting
Lecture 2 Excel Table, Cell References, Data Validation, Conditional Formatting
Section 3: Useful Excel Functions for Data Analysis – Part 1
Lecture 3 Using SumIf, CountIf, AverageIf and Xlookup Functions
Section 4: Useful Excel Functions for Data Analysis – Part 2
Lecture 4 Sort, Filter and Take Functions
Section 5: Pivot Tables – Part 1
Lecture 5 Pivot Tables – Part 1
Section 6: Pivot Tables – Part 2
Lecture 6 Pivot Tables – Part 2
Section 7: Power Query
Lecture 7 Power Query
Section 8: Power Query – Transform Text
Lecture 8 Using Power Query to transform Text
Section 9: Power Query – Transform Numbers
Lecture 9 Power Query – Transform Numbers
Section 10: Power Query – Transform Date and Time
Lecture 10 Power Query – Transform Date and Time
Section 11: Power Query – Get Data from Web, PDF file
Lecture 11 Using Power Query to get Data from Web, PDF file – Using Power Query Pivot/Unpi
Section 12: Power Query – Combine and Merge Tables
Lecture 12 Using Power Query to combine and merge tables
Section 13: Power Query – Get Data from a Folder
Lecture 13 Using Power Query to get data from a folder
This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain.
Homepage

https://www.udemy.com/course/dataanalysiswithexcel/

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