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Data Science – Machine Learning on SAP Data & SAP Consultant

سرفصل های دوره

An Ultimate Hands On Masterclass for Applying Machine Learning, Data Science techniques on SAP Data to derive insights


01 - Getting System Ready
  • 001 What & Why Python - Getting System Ready
  • 002 Resources for help in Installation.html
  • 003 Start Jupyter Notebook
  • 003 Start-Jupyter-Notebook-Guide.pdf
  • 004 Start iPython Notebook
  • 004 Start-Jupyter-Notebook-Guide.pdf
  • 005 Default Folder Path of ipython notebook files
  • 005 Start-Jupyter-Notebook-Guide.pdf
  • 006 Other Helpful Resources.html
  • 006 Start-Jupyter-Notebook-Guide.pdf
  • external-links.txt

  • 02 - Python Programming
  • 001 Python-Programming-Basics.zip
  • 001 Section Attachments.html
  • 002 Taste of Py
  • 003 Variables in Python Programming Language
  • 003 dssap-s03a02-3-variables-in-python.zip
  • 004 Rules for Creation of Variables in Python
  • 004 dssap-s03a02-3-variables-in-python.zip
  • 005 Data Types in Python - Numerical
  • 005 dssap-s03a04-data-types-in-python.zip
  • 006 DSSAP-S03A05-Working-in-Jupyter-Notebook.pdf
  • 006 Working in Jupyter Notebook
  • 007 Working in Jupyter Notebook - Hands On Exploration
  • 007 dssap-s03a06-working-in-jupyter-notebook.zip
  • 008 Data Types in Python - Boolean & Sequence
  • 009 Data Types in Python - Boolean & Sequence - Hands On
  • 009 dssap-s03a08-data-types-in-python-boolean-sequences.zip
  • 010 Data Types in Python - Dictionaries & Sets
  • 011 Data Types in Python - Dictionaries & Sets - Hands On
  • 011 dssap-s03a10-data-types-in-python-dictionaries-sets-hands-on.zip
  • 012 Operators in Python
  • 013 Operators in Python - Hands On
  • 013 dssap-s03a12-operators-in-python.zip
  • 014 Adding the Comments in Python
  • 015 Adding the comments in Python - Hands On
  • 015 dssap-s03a14-adding-the-comments-in-python.zip
  • 016 Working with Print Function
  • 017 Exploring Print Function
  • 017 dssap-s03a16-exploring-print-function.zip
  • 018 Type Casting in Python Data Type Conversion
  • 019 Type Casting in Python
  • 019 dssap-s03a18-type-casting-in-python.zip
  • 020 Getting Input from User
  • 020 dssap-s03a19-getting-input-from-user.zip

  • 03 - Control Statements in Python
  • 001 Control-Statements-in-Python.zip
  • 001 Section Attachments.html
  • 002 Control Statements in Python - If
  • 003 Control Statements in Python - If - Hands On
  • 003 dssap-s03a21-control-statements-in-python-if.zip
  • 004 Logical Operators
  • 005 Logical Operators on Conditional Statements
  • 005 dssap-s03a23-logical-operators-on-conditional-statements.zip
  • 006 Control Statement - if else
  • 006 dssap-s03a24-control-statements-if.else.zip
  • 007 Control Statements - if elif else
  • 008 Control Statements - if elif else - Python
  • 008 dssap-s03a26-control-statements-if-elif-else.zip
  • 009 Control Statements - While loop
  • 010 Control Statements - While loop - Python
  • 010 dssap-s03a28-control-statements-while-loop-python.zip
  • 011 Control Statements - For loop
  • 012 Control Statements - For loop - Python
  • 012 dssap-s03a30-for-loops.zip
  • 013 Control Statements Break , Continue & Pass
  • 014 Control Statements Break , Continue & Pass - Python
  • 014 dssap-s03a32-break-continue-pass.zip

  • 04 - Data Structures in Python
  • 001 Data-Structures-in-Python.zip
  • 001 Section Attachments.html
  • 002 Intro to Data Structures
  • 003 Lists in Python
  • 004 Python lists - Jupyter Notebook
  • 004 dssap-s03a35-python-lists.zip
  • 005 Python Tuples
  • 006 Python Tuples - Hands On
  • 006 dssap-s03a37-python-tuples.zip
  • 007 Python Dictionaries
  • 008 Python Dictionaries - Hands On
  • 008 dssap-s03a39-python-dictionaries-hands-on.zip
  • 009 Sets in Python
  • 010 Sets in Python - Hands On
  • 010 dssap-s03a41-42-sets-in-python-hands-on.zip
  • 011 Sets - Operations
  • 011 dssap-s03a41-42-sets-in-python-hands-on.zip
  • 012 Strings
  • 013 Strings - Hands On
  • 013 dssap-s03a44-45-strings-its-methods.zip
  • 014 Strings - Other Methods
  • 014 dssap-s03a44-45-strings-its-methods.zip
  • 015 Negative Indexing and Escape Characters
  • 015 dssap-s03a46-negative-indexing-and-escape-characters.zip

  • 05 - Functions & Classes in Python
  • 001 Functions-Classes-in-Python.zip
  • 001 Section Attachments.html
  • 002 Functions in Python
  • 002 dssap-s03a47-48-functions-in-python.zip
  • 003 Functions - Contd
  • 003 dssap-s03a47-48-functions-in-python.zip
  • 004 Calling Functions inside a function
  • 004 dssap-s03a49-calling-functions-inside-a-function.zip
  • 005 Object Oriented Python
  • 006 Working with Classes and Objects in Python
  • 006 dssap-s03a51-classes-objects.zip

  • 06 - Capstone Project using Python Programming
  • 001 Section Attachment.html
  • 001 dssap-s05a06-final-testing.zip
  • 002 Details of Capstone Project
  • 003 Selecting the Random Word for the Game
  • 004 Initializing the Game
  • 005 Logic of word validation
  • 006 Logic for Letter Validation
  • 007 Final Testing

  • 07 - Numpy for Data Science
  • 001 NumPy-Library-Data-Science.zip
  • 001 Section Attachment.html
  • 002 Introduction to Numpy Library
  • 002 SAPDS-S05A01.Numpy-for-Data-Science.pdf
  • 003 Basics of Numpy Array Object
  • 003 SAPDS-S05A02.Numpy-Array-Objects.pdf
  • 004 Import Numpy & Access help
  • 005 Creation of Array Object - np.array()
  • 006 Attributes of Numpy Array
  • 007 Array Indexing and Slicing
  • 008 Array Creation Functions
  • 009 Copy Arrays
  • 010 Mathematical Operation on Numpy Arrays
  • 011 Linear Algebra Functions in Numpy
  • 012 Shape Modification of Arrays
  • 013 np.arange()
  • 014 Relational Operators on Numpy Arrays
  • 015 Boolean Masking
  • 016 Broadcasting on Numpy Arrays
  • 017 Summary of Numpy Library journey

  • 08 - Pandas for Data Science
  • 001 Pandas-Library-Data-Science.zip
  • 001 Section Attachment.html
  • 002 Introduction to Pandas
  • 003 Working with Pandas Series
  • 004 Mathematical Operation on Pandas Series
  • 005 Dataframes in Pandas
  • 006 Working with Data in Pandas DataFrame
  • 007 Combining the DataFrames
  • 008 Other Functions on Pandas DataFrame
  • 009 Advanced Functions in Pandas DataFrame

  • 09 - Exploratory Data Analysis on Real Life Dataset
  • 001 EDA-on-Large-Dataset.zip
  • 001 Section Attachment.html
  • 002 Introduction to EDA
  • 003 Accessing Google Colab
  • 003 DSSAP-S07A02-Google-Colab.pdf
  • 004 DSSAP-S07A02-Google-Colab.pdf
  • 004 Loading the Large Dataset for Working
  • 005 Preliminary Analysis on DataFrame
  • 006 null values in the Dataframe
  • 007 Data Cleaning
  • 008 Assignment Solution.html
  • 008 uber-analysis-assignment-solution.zip

  • 10 - Data Visualization - Matplotlib
  • 001 Matplotlib-for-Data-Science.zip
  • 001 Section Attachment.html
  • 002 Introduction to Data Visualization
  • 003 Matplotlib Basics
  • 004 Types of Plot - Line plot
  • 005 Line Plots Hands On
  • 006 Adjusting the Plots
  • 007 Plot Adjustment Hands On
  • 008 Scatter Plot
  • 009 Scatter Plot hands on
  • 010 Historgram Plot
  • 011 Assignment Solution Notebook.html
  • 011 matplotlib-assignment-solution.zip

  • 11 - Visualization with Seaborn
  • 001 Seaborn-for-Data-Science.zip
  • 001 Section Attachment.html
  • 002 Introduction to Seaborn
  • 003 Exploring the data
  • 004 Univariate & Bivariate Plots - Continuous Data
  • 005 Plot - Categorical Data
  • 006 Advanced Plots in Seaborn
  • 007 Which Plot to use
  • 008 Solution for Assignment.html
  • 008 seaborn-assignment-solution.zip

  • 12 - Intro to Data Science - Machine Learning with SAP Data
  • 001 Intro to Data Science - Machine Learning with SAP Data

  • 13 - Clustering on SAP Data - Mastering KNN Algorithm
  • 001 Mastering-KMeans-Algorithm.zip
  • 001 Section Attachments.html
  • 002 Understanding Clustering
  • 003 Mathematical Working of KMeans
  • 004 Apply K Means on an Example Dataset
  • 005 Explore KMeans() Classs
  • 006 Measure Cluster Quality
  • 007 Measure Cluster Quality Hands On
  • 008 List Comprehension
  • 009 Scaling the data with StandardScaler
  • 010 Clustering on ML Example data

  • 14 - Clustering & Segmentation -Implementation on SAP Data
  • 001 Clustering-with-SAP-Data.zip
  • 001 Section Attachments.html
  • 002 Project Overview
  • 003 Data Extration Steps SAP
  • 004 Data Loading & Analysis
  • 005 Data Transformation
  • 006 Apply KMeans on SAP Data
  • 007 Summary of KMeans

  • 15 - Build Recommendation System Using SAP Data
  • 001 Association-Rule-Mining.zip
  • 001 Program-Association-Rule.pdf
  • 001 Section Attachments.html
  • 002 Section Overview & Introduction to Recommendation Systems
  • 003 Hands On Overview
  • 004 Data Transformation & Data Manipulation
  • 005 Generate Association Rules
  • 006 Data Extraction from SAP
  • 007 Custom Program in SAP ABAP for Data Extraction
  • 007 Program-Association-Rule.pdf
  • 008 Data Extraction using SQVI
  • 009 Data Preparation of External File
  • 010 Data Pre-Processing on Extracted SAP Data
  • 011 Generate Association Rules on SAP Data
  • 012 Summary - Association Rule Mining

  • 16 - Predictive Analytics on SAP Data - Time Series Forecasting
  • 001 Section Attachments.html
  • 001 Section-17-Predictive-Analytics-on-SAP-Data-Time-Series-Forecasting.zip
  • 002 Learning Objectives & Section Overview
  • 003 Why do we require Forecasting
  • 004 Understand Forecasting
  • 005 Project Overview
  • 006 Data Extraction from SAP System
  • 007 Data Loading & Manipulation
  • 008 Understand the Time Series Data
  • 009 Knowledge Check
  • 010 Quick Recap
  • 011 Differencing Hands On
  • 012 Data Loading & Preliminary Analysis - Hands On
  • 013 Hypothesis Testing
  • 014 Hypothesis Testing Hands On - ADF Test
  • 015 AutoCorrelation in Time Series Plot
  • 016 AutoCorrelation Hands On
  • 017 Features of ACF plot
  • 018 Relation Between ACF Plot & Time Series Plot
  • 019 Introduction to ARIMA
  • 020 Understanding p & q in ARIMA
  • 021 Overview of Hands On Implementation of ARIMA
  • 022 ARIMA Hands On
  • 023 Project Completion - ARIMA Model on SAP Data
  • 024 Time Series Analysis Flow Chart - Summary

  • 17 - Natural Language Processing with Google Cloud API - Text Data
  • 001 Section Attachments.html
  • 001 Section-18-Natural-Language-Processing-with-Google-Cloud-API-Text-Data.zip
  • 002 Learning Objective & Section Overview - NLP
  • 003 Overview of NLP - Natural Language Processing
  • 004 Text Pre-processing techniques
  • 005 Setting up Google Cloud Account
  • 006 Load the Dataset
  • 007 Connecting with Google Cloud Natural Language API
  • 008 Summary - NLP with Text Data - Classification
  • 010 Bonus Content - Get More from learning journey.html
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    • index 48420496.zip

  • 18 - Machine Learning Model Deployment for Projects
  • 001 Machine learning Deployment Part 1 - Model Prep - End to End
  • 002 Machine learning Deployment Part 2 - Deploy Flask App - End to End
  • 003 Streamlit Tutorial
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    تاریخ انتشار: ۳۱ مرداد ۱۴۰۲
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