SAP Data Science & ML for SAP Consultants
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Unlock a New Era in Your Career: Data Science with SAP – Machine Learning for Enterprise Data
Welcome to a transformative learning journey designed to bridge the gap between SAP Professionals and Data Scientists. As you embark on this course, you’ll discover the striking similarities between the activities performed by Data Scientists and the way SAP Professionals implement business requirements on ERP Software – SAP. The pivotal distinction lies in the Data Scientists’ knack for posing more insightful questions about the data they encounter.
Our curriculum, meticulously crafted for SAP Professionals venturing into the realm of Data Science, covers a diverse range of essential topics:
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Understanding the Data Science Field and Types of Analysis:
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Gain insights into the fundamental principles and practices of the data science field.
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Explore various types of analysis that form the backbone of effective data-driven decision-making.
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Statistics:
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Delve into statistical concepts, empowering you to make informed decisions based on data-driven insights.
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Python:
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Acquire proficiency in Python, a versatile programming language extensively used in the data science landscape.
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Advanced Statistical Techniques in Python:
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Apply sophisticated statistical techniques using Python, enhancing your analytical capabilities.
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Data Visualization:
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Master the art of visualizing data to convey meaningful insights through compelling graphics.
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Machine Learning:
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Dive into the dynamic world of machine learning, understanding its principles and applications.
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Using Pretrained Models:
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Leverage the power of pretrained models, including the Google Cloud Natural Language Processing API, for a seamless jumpstart in SAP Application implementation.
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Each topic seamlessly builds upon the previous ones, providing a structured and comprehensive learning path. To ensure a smooth and non-overwhelming experience for learners, we recommend acquiring these skills in the specified order outlined in our curriculum.
In our pursuit to create the most effective, time-efficient, and business case-driven data science training online, we proudly present our course: “Data Science with SAP – Machine Learning for Enterprise Data.”
Why Choose Our Course?
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Holistic Approach:
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We address the unique challenges faced by SAP professionals entering the data science field.
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Our curriculum covers a spectrum of topics that smoothly flow and complement each other, easily connecting to Enterprise Data SAP.
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Cost-Effective and Time-Efficient:
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Access everything you need to become a data scientist from an SAP Consultant at a fraction of the cost of traditional programs.
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Save valuable time with our efficient and focused learning path.
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Comprehensive Package:
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Enroll in our $3000 data science training program that offers a wealth of knowledge and practical insights.
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Benefit from active Q&A support, community collaboration, a certificate of completion, and access to future updates.
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Real-Life Business Cases:
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Engage in solving real-life business cases that seamlessly translate to your practical application in the business domain.
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Community Support:
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Join a thriving community of data science learners, fostering collaboration and shared growth.
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Risk-Free Learning:
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We are confident in the excellence of our course content and offer an unconditional 30-day money-back guarantee. No risk for you!
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Why Wait? Seize the Opportunity Now!
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7Section AttachmentsTexto
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8Taste of PyVídeo Aula
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9Variables in Python Programming LanguageVídeo Aula
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10Activity : Variable CreationTexto
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11Rules for Creation of Variables in PythonVídeo Aula
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12Activity - 2: Rules for Creation of VariablesTexto
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13Data Types in Python - NumericalVídeo Aula
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14Activity - 3: Creation of Variables & Display its Data TypeTexto
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15Working in Jupyter NotebookVídeo Aula
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16Working in Jupyter Notebook - Hands On ExplorationVídeo Aula
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17Data Types in Python - Boolean & SequenceVídeo Aula
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18Data Types in Python - Boolean & Sequence - Hands OnVídeo Aula
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19Activity 4: Boolean Data Types & Sequences - Lists & TupleTexto
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20Data Types in Python - Dictionaries & SetsVídeo Aula
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21Data Types in Python - Dictionaries & Sets - Hands OnVídeo Aula
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22Activity 5: Dictionaries & SetsTexto
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23Operators in PythonVídeo Aula
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24Operators in Python - Hands OnVídeo Aula
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25Activity 6 : Operators in PythonTexto
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26Adding the Comments in PythonVídeo Aula
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27Adding the comments in Python - Hands OnVídeo Aula
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28Comments in PythonQuestionário
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29Working with Print FunctionVídeo Aula
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30Exploring Print FunctionVídeo Aula
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31Activity : print() functionTexto
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32Type Casting in Python_Data Type ConversionVídeo Aula
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33Type Casting in PythonVídeo Aula
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34Activity: Type CastingTexto
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35Getting Input from UserVídeo Aula
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36Activity: Getting Input from UserTexto
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37Section AttachmentsTexto
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38Control Statements in Python - IfVídeo Aula
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39Control Statements in Python - If - Hands OnVídeo Aula
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40Activity: Control Statements in Python - IfTexto
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41Logical OperatorsVídeo Aula
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42Logical Operators on Conditional StatementsVídeo Aula
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43Activity : Logical Operators on Conditional StatementsTexto
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44Control Statement - if_elseVídeo Aula
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45Activity: Control Statement - if_elseTexto
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46Control Statements - if_elif_elseVídeo Aula
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47Control Statements - if_elif_else - PythonVídeo Aula
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48Activity : Control Statement - if elif elseTexto
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49Control Statements - While loopVídeo Aula
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50Control Statements - While loop - PythonVídeo Aula
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51Activity : While LoopsTexto
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52Control Statements - For loopVídeo Aula
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53Control Statements - For loop - PythonVídeo Aula
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54Activity : For LoopsTexto
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55Control Statements Break , Continue & PassVídeo Aula
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56Control Statements Break , Continue & Pass - PythonVídeo Aula
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57Activity : Control Statements Break, Continue, PassTexto
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58Section AttachmentsTexto
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59Intro to Data StructuresVídeo Aula
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60Lists in PythonVídeo Aula
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61Python lists - Jupyter NotebookVídeo Aula
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62Activity: Python LisitsTexto
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63Python TuplesVídeo Aula
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64Python Tuples - Hands OnVídeo Aula
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65Activity: Python TuplesTexto
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66Python DictionariesVídeo Aula
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67Python Dictionaries - Hands OnVídeo Aula
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68Activity: Python DictionaryTexto
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69Sets in PythonVídeo Aula
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70Sets in Python - Hands OnVídeo Aula
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71Sets - OperationsVídeo Aula
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72Activity: Python SetsTexto
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73StringsVídeo Aula
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74Strings - Hands OnVídeo Aula
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75Strings - Other MethodsVídeo Aula
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76Activity: StringsTexto
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77Negative Indexing and Escape CharactersVídeo Aula
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78Section AttachmentsTexto
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79Functions in PythonVídeo Aula
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80Functions - ContdVídeo Aula
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81Calling Functions inside a functionVídeo Aula
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82Activity: FunctionsTexto
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83Object Oriented PythonVídeo Aula
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84Working with Classes and Objects in PythonVídeo Aula
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85Activity: Classes & ObjectsTexto
