Data Science - Machine Learning on SAP Data & SAP Consultant

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Manifold AI Learning ®

20:35:03

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01 - Getting System Ready

001 What & Why Python - Getting System Ready.mp4

04:28

002 Resources for help in Installation.html

003 Start Jupyter Notebook.mp4

02:09

003 Start-Jupyter-Notebook-Guide.pdf

004 Start iPython Notebook.mp4

02:16

004 Start-Jupyter-Notebook-Guide.pdf

005 Default Folder Path of ipython notebook files.mp4

01:50

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.mp4

06:17

003 Variables in Python Programming Language.mp4

03:49

003 dssap-s03a02-3-variables-in-python.zip

004 Rules for Creation of Variables in Python.mp4

10:57

004 dssap-s03a02-3-variables-in-python.zip

005 Data Types in Python - Numerical.mp4

07:17

005 dssap-s03a04-data-types-in-python.zip

006 DSSAP-S03A05-Working-in-Jupyter-Notebook.pdf

006 Working in Jupyter Notebook.mp4

03:05

007 Working in Jupyter Notebook - Hands On Exploration.mp4

11:27

007 dssap-s03a06-working-in-jupyter-notebook.zip

008 Data Types in Python - Boolean & Sequence.mp4

05:04

009 Data Types in Python - Boolean & Sequence - Hands On.mp4

07:41

009 dssap-s03a08-data-types-in-python-boolean-sequences.zip

010 Data Types in Python - Dictionaries & Sets.mp4

03:05

011 Data Types in Python - Dictionaries & Sets - Hands On.mp4

05:41

011 dssap-s03a10-data-types-in-python-dictionaries-sets-hands-on.zip

012 Operators in Python.mp4

08:50

013 Operators in Python - Hands On.mp4

07:11

013 dssap-s03a12-operators-in-python.zip

014 Adding the Comments in Python.mp4

06:46

015 Adding the comments in Python - Hands On.mp4

07:56

015 dssap-s03a14-adding-the-comments-in-python.zip

016 Working with Print Function.mp4

03:28

017 Exploring Print Function.mp4

12:28

017 dssap-s03a16-exploring-print-function.zip

018 Type Casting in Python Data Type Conversion.mp4

03:19

019 Type Casting in Python.mp4

08:24

019 dssap-s03a18-type-casting-in-python.zip

020 Getting Input from User.mp4

07:36

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.mp4

10:19

003 Control Statements in Python - If - Hands On.mp4

14:27

003 dssap-s03a21-control-statements-in-python-if.zip

004 Logical Operators.mp4

02:39

005 Logical Operators on Conditional Statements.mp4

06:49

005 dssap-s03a23-logical-operators-on-conditional-statements.zip

006 Control Statement - if else.mp4

07:51

006 dssap-s03a24-control-statements-if.else.zip

007 Control Statements - if elif else.mp4

05:27

008 Control Statements - if elif else - Python.mp4

06:28

008 dssap-s03a26-control-statements-if-elif-else.zip

009 Control Statements - While loop.mp4

06:03

010 Control Statements - While loop - Python.mp4

15:13

010 dssap-s03a28-control-statements-while-loop-python.zip

011 Control Statements - For loop.mp4

03:25

012 Control Statements - For loop - Python.mp4

10:20

012 dssap-s03a30-for-loops.zip

013 Control Statements Break , Continue & Pass.mp4

04:22

014 Control Statements Break , Continue & Pass - Python.mp4

09:31

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.mp4

01:30

003 Lists in Python.mp4

10:13

004 Python lists - Jupyter Notebook.mp4

11:13

004 dssap-s03a35-python-lists.zip

005 Python Tuples.mp4

02:56

006 Python Tuples - Hands On.mp4

05:56

006 dssap-s03a37-python-tuples.zip

007 Python Dictionaries.mp4

06:03

008 Python Dictionaries - Hands On.mp4

08:27

008 dssap-s03a39-python-dictionaries-hands-on.zip

009 Sets in Python.mp4

05:24

010 Sets in Python - Hands On.mp4

04:03

010 dssap-s03a41-42-sets-in-python-hands-on.zip

011 Sets - Operations.mp4

11:03

011 dssap-s03a41-42-sets-in-python-hands-on.zip

012 Strings.mp4

04:07

013 Strings - Hands On.mp4

05:02

013 dssap-s03a44-45-strings-its-methods.zip

014 Strings - Other Methods.mp4

05:40

014 dssap-s03a44-45-strings-its-methods.zip

015 Negative Indexing and Escape Characters.mp4

07:11

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.mp4

12:07

002 dssap-s03a47-48-functions-in-python.zip

003 Functions - Contd.mp4

08:24

003 dssap-s03a47-48-functions-in-python.zip

004 Calling Functions inside a function.mp4

10:19

004 dssap-s03a49-calling-functions-inside-a-function.zip

005 Object Oriented Python.mp4

09:00

006 Working with Classes and Objects in Python.mp4

15:49

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.mp4

06:23

003 Selecting the Random Word for the Game.mp4

06:12

004 Initializing the Game.mp4

07:16

005 Logic of word validation.mp4

07:31

006 Logic for Letter Validation.mp4

13:10

007 Final Testing.mp4

05:34

07 - Numpy for Data Science

001 NumPy-Library-Data-Science.zip

001 Section Attachment.html

002 Introduction to Numpy Library.mp4

06:39

002 SAPDS-S05A01.Numpy-for-Data-Science.pdf

003 Basics of Numpy Array Object.mp4

03:41

003 SAPDS-S05A02.Numpy-Array-Objects.pdf

004 Import Numpy & Access help.mp4

04:49

005 Creation of Array Object - np.array().mp4

04:47

006 Attributes of Numpy Array.mp4

03:38

007 Array Indexing and Slicing.mp4

09:26

008 Array Creation Functions.mp4

10:47

009 Copy Arrays.mp4

04:45

010 Mathematical Operation on Numpy Arrays.mp4

04:11

011 Linear Algebra Functions in Numpy.mp4

03:21

012 Shape Modification of Arrays.mp4

09:37

013 np.arange().mp4

03:54

014 Relational Operators on Numpy Arrays.mp4

06:35

015 Boolean Masking.mp4

02:06

016 Broadcasting on Numpy Arrays.mp4

18:13

017 Summary of Numpy Library journey.mp4

03:29

08 - Pandas for Data Science

001 Pandas-Library-Data-Science.zip

001 Section Attachment.html

002 Introduction to Pandas.mp4

05:05

003 Working with Pandas Series.mp4

08:41

004 Mathematical Operation on Pandas Series.mp4

02:38

005 Dataframes in Pandas.mp4

13:02

006 Working with Data in Pandas DataFrame.mp4

09:10

007 Combining the DataFrames.mp4

09:22

008 Other Functions on Pandas DataFrame.mp4

10:42

009 Advanced Functions in Pandas DataFrame.mp4

20:57

09 - Exploratory Data Analysis on Real Life Dataset

001 EDA-on-Large-Dataset.zip

001 Section Attachment.html

002 Introduction to EDA.mp4

03:16

003 Accessing Google Colab.mp4

05:18

003 DSSAP-S07A02-Google-Colab.pdf

004 DSSAP-S07A02-Google-Colab.pdf

004 Loading the Large Dataset for Working.mp4

07:17

005 Preliminary Analysis on DataFrame.mp4

14:14

006 null values in the Dataframe.mp4

06:50

007 Data Cleaning.mp4

09:44

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.mp4

06:17

003 Matplotlib Basics.mp4

09:28

004 Types of Plot - Line plot.mp4

03:12

005 Line Plots Hands On.mp4

09:29

006 Adjusting the Plots.mp4

09:15

007 Plot Adjustment Hands On.mp4

08:00

008 Scatter Plot.mp4

03:30

009 Scatter Plot hands on.mp4

09:53

010 Historgram Plot.mp4

05:33

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.mp4

03:13

003 Exploring the data.mp4

09:38

004 Univariate & Bivariate Plots - Continuous Data.mp4

11:20

005 Plot - Categorical Data.mp4

09:15

006 Advanced Plots in Seaborn.mp4

06:46

007 Which Plot to use.mp4

04:59

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.mp4

18:34

13 - Clustering on SAP Data - Mastering KNN Algorithm

001 Mastering-KMeans-Algorithm.zip

001 Section Attachments.html

002 Understanding Clustering.mp4

09:50

003 Mathematical Working of KMeans.mp4

13:07

004 Apply K Means on an Example Dataset.mp4

15:34

005 Explore KMeans() Classs.mp4

15:16

006 Measure Cluster Quality.mp4

05:27

007 Measure Cluster Quality Hands On.mp4

13:52

008 List Comprehension.mp4

07:33

009 Scaling the data with StandardScaler.mp4

13:35

010 Clustering on ML Example data.mp4

09:22

14 - Clustering & Segmentation -Implementation on SAP Data

001 Clustering-with-SAP-Data.zip

001 Section Attachments.html

002 Project Overview.mp4

06:50

003 Data Extration Steps SAP.mp4

08:19

004 Data Loading & Analysis.mp4

11:28

005 Data Transformation.mp4

11:41

006 Apply KMeans on SAP Data.mp4

07:59

007 Summary of KMeans.mp4

02:01

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.mp4

10:53

003 Hands On Overview.mp4

02:10

004 Data Transformation & Data Manipulation.mp4

15:18

005 Generate Association Rules.mp4

07:51

006 Data Extraction from SAP.mp4

01:39

007 Custom Program in SAP ABAP for Data Extraction.mp4

03:48

007 Program-Association-Rule.pdf

008 Data Extraction using SQVI.mp4

04:55

009 Data Preparation of External File.mp4

16:34

010 Data Pre-Processing on Extracted SAP Data.mp4

06:28

011 Generate Association Rules on SAP Data.mp4

07:01

012 Summary - Association Rule Mining.mp4

01:24

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.mp4

01:21

003 Why do we require Forecasting.mp4

02:12

004 Understand Forecasting.mp4

06:56

005 Project Overview.mp4

02:16

006 Data Extraction from SAP System.mp4

04:47

007 Data Loading & Manipulation.mp4

15:21

008 Understand the Time Series Data.mp4

07:03

009 Knowledge Check.mp4

07:14

010 Quick Recap.mp4

01:54

011 Differencing Hands On.mp4

04:41

012 Data Loading & Preliminary Analysis - Hands On.mp4

06:06

013 Hypothesis Testing.mp4

05:35

014 Hypothesis Testing Hands On - ADF Test.mp4

08:11

015 AutoCorrelation in Time Series Plot.mp4

09:37

016 AutoCorrelation Hands On.mp4

04:04

017 Features of ACF plot.mp4

04:29

018 Relation Between ACF Plot & Time Series Plot.mp4

09:46

019 Introduction to ARIMA.mp4

05:32

020 Understanding p & q in ARIMA.mp4

02:09

021 Overview of Hands On Implementation of ARIMA.mp4

01:13

022 ARIMA Hands On.mp4

18:23

023 Project Completion - ARIMA Model on SAP Data.mp4

04:10

024 Time Series Analysis Flow Chart - Summary.mp4

02:54

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.mp4

00:52

003 Overview of NLP - Natural Language Processing.mp4

02:39

004 Text Pre-processing techniques.mp4

06:38

005 Setting up Google Cloud Account.mp4

05:53

006 Load the Dataset.mp4

04:10

007 Connecting with Google Cloud Natural Language API.mp4

10:40

008 Summary - NLP with Text Data - Classification.mp4

02:34

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.mp4

15:31

002 Machine learning Deployment Part 2 - Deploy Flask App - End to End.mp4

11:48

003 Streamlit Tutorial.mp4

19:22

Description

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

What You'll Learn?

Course Provides the Entire Toolbox you need to apply Data Science – Machine Learning Algorithms for your SAP Data
Get ahead of crowd by knowing the hottest skill in the current Market
Start coding in Python and learn how to use it for Statistical Analysis of SAP Data
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn – Essential tools for Performing Data Science with SAP Data
Carry out cluster and factor analysis on SAP Data
Learn to Extract the Required Data from SAP System to perform Statistical Analysis & Apply various Machine Learning Models
Learn how to pre-process the extracted data from SAP
Apply the Skills to real-life business cases
Be Industry Ready to apply everything you have learnt to more and more real-life scenarios in the ocean of SAP
Build Recommendation Engine Using SAP Data
Create a Project Implementation to Perform the Predictive Analytics on SAP Data & Perform the Advanced Time Series Analysis using ARIMA Model
Learn to use Advanced Techniques, and make use of Pre-trained Model from Google Cloud Natural Language Processing API for Text Data

Who is this for?

SAP Functional & Technical Consultants who wants to Jump into the field of Data Science

You should take this course if you want to become a Data Scientist , and learn how to get the Business insights by using the data from SAP System

This course is for you if you want a great career

The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

Data Scientists who are interested in learning how to perform various activities from SAP Data

What You Need to Know?

No Prior Experience is required. We start from the very basics

You will need to install Anaconda. We will show you how to do that – Step by Step

Basic Familiarity with SAP Interface (Optional)

More details

Description
This course has been created to bridge the gap between SAP Professionals and Data Scientists. As you progress in this learning journey, You will realize that most of the Activities performed by Data Scientists are very much similar to the way we SAP Professionals implement the Business Requirements on an ERP Software - SAP. The key difference is: Data Scientists know how to ask better questions on the data

To bridge this gap, we have designed this curriculum of Data Science for SAPÂ Professionals which encompasses a wide range of topics.
Understanding of the data science field and the type of analysis carried out
Statistics
Python
Applying advanced statistical techniques in Python
Data Visualization
Machine Learning
Using Pretrained Models like GoogleÂ Cloud Natural Language Processing API to have a Jumpstart for your SAPÂ Application implementation.
Each of these topics builds on the previous ones. Due to this reason, we recommend you acquire these skills in the right order as mentioned in our curriculum so that,Â it won't be an overwhelming experience for a learner.
So, in an effort to create the most effective, time-efficient, structured, and business case-driven data science training available online, we have created this course:Â Data ScienceÂ withÂ SAP - Machine Learning for Enterprise Data
We believe this is the first training program that solves the challenge of SAPÂ professionals to entering the field of data science by enabling the learners to have all the necessary resources in one place.
The focus of our course is to teach topics that flow smoothly and complement each other and can be easily related to Enterprise Data SAP. The course teaches you everything you need to know to become a data scientist from SAPÂ Consultant at a fraction of the cost of traditional programs (not to mention the amount of time you will save).

What you get
A $3000 data science training program
Active Q&A support
All the knowledge to get hired as a data scientist for SAPÂ Applications
A community of data science learners
A certificate of completion
Access to future updates
Solve real-life business cases that can be easily extended to your business application

You will become a data scientist from scratch usingÂ SAPÂ Data
We are happy to offer an unconditional 30-day money-back in the full guarantee. So, No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.
Why wait? Every second is a missed opportunity.
Click the â€œBuy Nowâ€ button and become a part of our data scientist program today.
Who this course is for:
SAP Functional & Technical Consultants who wants to Jump into the field of Data Science
You should take this course if you want to become a Data Scientist , and learn how to get the Business insights by using the data from SAP System
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Data Scientists who are interested in learning how to perform various activities from SAP Data

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Manifold AI Learning ® is an online Academy with the goal to empower the students with the knowledge and skills that can be directly applied to solving the Real world problems in Data Science, Machine Learning and Artificial intelligence.Checkout our instructor profile for the complete list of courses.All the best for your Learning.- Team ManifoldAILearning ®"Learn the Future"

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