Course curriculum

    1. Segment - 01 - Why I Chose R for this Course

    2. Segment - 02 - Why We Should Learn Coding

    3. Segment - 03 - Curriculum

    4. Segment - 04 - Supply Chain Visualization

    5. Segment - 05 - Cost and Service Dynamics

    6. Segment - 06 - Service Level and Product Characteristics

    7. Segment - 07 - Customer and Supplier Characteristics

    8. Segment - 08 - Supply Chain Views

    9. Segment - 09 - The Financial Flow

    10. Segment - 10 - Why is Supply Chain Complicated

    1. Segment - 11 - Introduction

    2. uSegment - 12 - Types of Data in Supply Chain

    3. Segment - 13 - Data from Suppliers

    4. Segment - 14 - Data from Production

    5. Segment - 15 - Data from Stocks

    6. Segment - 16 - Data from Sales and Customers

    7. Segment - 17 - Why We Need to Learn Data Science

    8. Segment - 18 - Analytics Types

    1. Segment - 19 - Welcome to the World of R

    2. Segment - 20 - What is R Statistical Language

    3. Segment - 21 - How to Install R

    4. Segment - 22 - How to Install R Studio

    5. Segment - 23 - A Walk Through Tutorial

    6. Segment - 24 - Setup your Project

    7. Segment - 25 - Install Packages!

    8. Segment - 26 - Summary

    1. Segment - 27 - Introduction

    2. Segment - 28 - Different Data Structures and Types in R

    3. Segment - 29 - Do Arithmetic Calculations in R and Write Functions

    4. Segment - 30 - Creating a List

    5. Segment - 31 - Importing Data in R and Basic Exploration

    6. Segment - 32 - Selecting Data in Dataframe

    7. Segment - 33 - If Else Function

    8. Segment - 34 - Conditions

    9. Segment - 36 - For Loops

    10. Segment - 35 - Functions With Conditions

    11. Segment - 37 - Applying a Function Inside a For Loop

    12. Segment - 38 - For Loop on a Dataframe

    13. Segment - 39 - Applying the Function on a Dataframe

    14. Segment - 40 - Assignment

    15. Segment - 41 - Assignment Section 4 Answer Part 1

    16. Segment - 42 - Assignment Section 4 Answer Part 2

    17. Segment - 43 - Summary

    1. Segment - 44 - Introduction to Statistical Analysis

    2. Segment - 45 - Calculating Measures of Centrality and Spread

    3. Segment - 46 - Putting the Measures Together

    4. Segment - 47 - Correlations

    5. Segment - 48 - Correlations Thresholds

    6. Segment - 49 - Calculating Correlations

    7. Segment - 50 - Detecting Outliers

    8. Segment - 51 - Outliers in R

    9. Segment - 52 - Introduction to Linear Regression

    10. Segment - 53 - Linear Regression

    11. Segment - 54 -Introduction to Distributions

    12. Segment - 55 - Distributions Importance in Supply Chain

    13. Segment - 56 -Chi-Square Tests

    14. Segment - 57 -Distributions in Excel

    15. Segment - 58 - Distributions Chi_Square Test

    16. Segment - 59 - Cover of 90% of the Distribution

    17. Segment - 60 - Assignments Distribution in Excel

    18. Segment - 61 - Assignment Answer

    19. Segment - 62 - Distributions in R

    20. Segment - 63 - Assignment

    21. Segment - 64 - Assignment Answer

    22. Segment - 65 - Summary

    1. Segment - 66 - Introduction

    2. Segment - 67 - Introduction to Dplyr

    3. Segment - 68 - Investigate with Dplyr

    4. Segment - 69 - Unique Invoices

    5. Segment - 70 - Average Invoice Value Per Country

    6. Segment - 71 - Average Number of Items with in an Invoice

    7. Segment - 72 - Joining

    8. Segment - 73 - Changing Date Time to Date

    9. Segment - 74 - Pivot Wider

    10. Segment - 75 - Pivot Longer

    11. Segment - 76 - Separate and Paste

    12. Segment - 77 - Putting it all Together

    13. Segment - 78 - Assignment New York Airlines

    14. Segment - 79 - Assignment Question 1 Answer

    15. Segment - 80 - Assignment Question 2 and 3 Answer

    16. Segment - 81 - Assignment Question 4,5 and 6

    17. Segment - 82 - Assignment Question 7

    18. Segment - 83 - Summary

About this course

  • Free
  • 374 lessons
  • 37 hours of video content