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

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

189,000 تومان

افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy