Data Science and Spend Data Classification with Susan | 365 Data Use Cases

365 Data Science ยท Beginner ยท๐Ÿ“ ML Fundamentals ยท5y ago
๐Ÿ‘‰๐Ÿป Download Our Free Data Science Career Guide: https://bit.ly/2TquWvp ๐Ÿ‘‰๐Ÿป Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/2TuKNJi Hi everyone and welcome to this weekโ€™s episode of 365 Data Use Cases! In this series of super informative videos, we explore the diverse areas where data is widely used nowadays. Let's be honest, every industry relies on data for insights and strategies. But you'll be amazed how fascinating some of these cases are! Video Timestamps: 0:00 Intro 0:21 What is spend data classification? 1:03 Normalizing and standardizing data 1:41 Clโ€ฆ
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1 Population vs Sample
Population vs Sample
365 Data Science
 2 Data Science & Statistics: Levels of measurement
Data Science & Statistics: Levels of measurement
365 Data Science
 3 Statistics Tutorials: Mean, median and mode
Statistics Tutorials: Mean, median and mode
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 4 Skewness
Skewness
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 5 What is a distribution?
What is a distribution?
365 Data Science
 6 The Normal Distribution
The Normal Distribution
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 7 Central limit theorem
Central limit theorem
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 8 Student's T Distribution
Student's T Distribution
365 Data Science
 9 Type I error vs Type II error
Type I error vs Type II error
365 Data Science
 10 Hypothesis testing. Null vs alternative
Hypothesis testing. Null vs alternative
365 Data Science
 11 The linear regression model
The linear regression model
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 12 Simple linear regression model. Geometrical representation
Simple linear regression model. Geometrical representation
365 Data Science
 13 INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
365 Data Science
 14 INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
365 Data Science
 15 VLOOKUP and MATCH another useful functions combination [Advanced Excel]
VLOOKUP and MATCH another useful functions combination [Advanced Excel]
365 Data Science
 16 VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
365 Data Science
 17 The ELIF keyword [Python Fundamentals]
The ELIF keyword [Python Fundamentals]
365 Data Science
 18 Working with Tuples in Python
Working with Tuples in Python
365 Data Science
 19 Database Terminology - A Beginners Guide
Database Terminology - A Beginners Guide
365 Data Science
 20 Relational Database Essentials
Relational Database Essentials
365 Data Science
 21 Database vs Spreadsheet - Advantages and Disadvantages
Database vs Spreadsheet - Advantages and Disadvantages
365 Data Science
 22 Conditional Statements and Loops
Conditional Statements and Loops
365 Data Science
 23 Backpropagation โ€“ The Math Behind Optimization
Backpropagation โ€“ The Math Behind Optimization
365 Data Science
 24 Monte Carlo: Forecasting Stock Prices Part I
Monte Carlo: Forecasting Stock Prices Part I
365 Data Science
 25 Monte Carlo: Forecasting Stock Prices Part II
Monte Carlo: Forecasting Stock Prices Part II
365 Data Science
 26 Monte Carlo: Forecasting Stock Prices Part III
Monte Carlo: Forecasting Stock Prices Part III
365 Data Science
 27 365 Data Science Online Program
365 Data Science Online Program
365 Data Science
 28 Data frames - Creating a data frame
Data frames - Creating a data frame
365 Data Science
 29 Data Science & Statistics: Slicing a matrix in R
Data Science & Statistics: Slicing a matrix in R
365 Data Science
 30 Data frames in R - Exporting data in R
Data frames in R - Exporting data in R
365 Data Science
 31 Data frames in R - Transforming data PART II
Data frames in R - Transforming data PART II
365 Data Science
 32 Data Frames in R - Subsetting a data frame
Data Frames in R - Subsetting a data frame
365 Data Science
 33 Data Science & Statistics: Matrix arithmetic in R
Data Science & Statistics: Matrix arithmetic in R
365 Data Science
 34 Data Science & Statistics: Indexing an element from a matrix
Data Science & Statistics: Indexing an element from a matrix
365 Data Science
 35 Data Frames in R - Extending a data frame
Data Frames in R - Extending a data frame
365 Data Science
 36 Data Science & Statistics: Creating a matrix in R FASTER
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science
 37 Data Science & Statistics: Creating a Matrix in R
Data Science & Statistics: Creating a Matrix in R
365 Data Science
 38 Data frames - Importing data in R
Data frames - Importing data in R
365 Data Science
 39 Data frames in R - Getting a sense of your data
Data frames in R - Getting a sense of your data
365 Data Science
 40 Data frames in R - Transforming data PART I
Data frames in R - Transforming data PART I
365 Data Science
 41 Data frames in R - Import a CSV in R
Data frames in R - Import a CSV in R
365 Data Science
 42 Data Science & Statistics: Matrix operations in R
Data Science & Statistics: Matrix operations in R
365 Data Science
 43 Data Science & Statistics: Matrix recycling in R
Data Science & Statistics: Matrix recycling in R
365 Data Science
 44 Tableau vs Excel: When to use Tableau and when to use Excel
Tableau vs Excel: When to use Tableau and when to use Excel
365 Data Science
 45 Download Tableau: Learn how to download Tableau Public
Download Tableau: Learn how to download Tableau Public
365 Data Science
 46 Connecting data sources: Useful tips when connecting data sources to Tableau
Connecting data sources: Useful tips when connecting data sources to Tableau
365 Data Science
 47 The Tableau interface: See how to navigate through the Tableau interface
The Tableau interface: See how to navigate through the Tableau interface
365 Data Science
 48 Tableau data visualization: Create your first Tableau visualization!
Tableau data visualization: Create your first Tableau visualization!
365 Data Science
 49 Duplicating sheets: This is how to duplicate a sheet in Tableau
Duplicating sheets: This is how to duplicate a sheet in Tableau
365 Data Science
 50 Build a table in Tableau: The steps needed to create a simple table in Tableau
Build a table in Tableau: The steps needed to create a simple table in Tableau
365 Data Science
 51 Custom fields in Tableau: Using Tableau operators to create custom fields
Custom fields in Tableau: Using Tableau operators to create custom fields
365 Data Science
 52 Custom fields in Tableau: Add calculations to tables through custom fields
Custom fields in Tableau: Add calculations to tables through custom fields
365 Data Science
 53 Totals in Tableau: Learn how to display subtotals and totals in Tableau
Totals in Tableau: Learn how to display subtotals and totals in Tableau
365 Data Science
 54 Gross Margin calculation in Tableau
Gross Margin calculation in Tableau
365 Data Science
 55 What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
365 Data Science
 56 Joins in Tableau: Inner, outer, left, or a right join in Tableau
Joins in Tableau: Inner, outer, left, or a right join in Tableau
365 Data Science
 57 Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
365 Data Science
 58 Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
365 Data Science
 59 Joins in Tableau: Choose the correct join type
Joins in Tableau: Choose the correct join type
365 Data Science
 60 How to make a data check in Tableau: A quick data check is better than no data check
How to make a data check in Tableau: A quick data check is better than no data check
365 Data Science
โšก AI Lesson Summary โœฆ V3 skills ๐Ÿ›  Hands-on

The video teaches spend data classification, a crucial process in procurement and finance that helps organizations understand their spending habits and make data-driven decisions, using data normalization and taxonomy-based classification techniques.

Key Takeaways
  1. Collect spend data
  2. Normalize data
  3. Apply taxonomy-based classification
  4. Analyze classified data
  5. Identify cost savings opportunities
  6. Improve supplier management
๐Ÿ’ก Spend data classification can help organizations achieve cost savings and improve supplier management by providing a clear understanding of their spending habits.

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Chapters (6)

Intro
0:21 What is spend data classification?
1:03 Normalizing and standardizing data
1:41 Classifying data with taxonomy
2:36 What is the benefit of data classification?
3:23 Contact Susan for questions or more info
Up next
Spatial Analysis, 3D Data & Machine Learning
Coursera
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