Udemy

SAP Data Science & ML for SAP Consultants

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  • 3,189 Students
  • Updated 1/2025
4.6
(281 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
Manifold AI Learning ®
Rating
4.6
(281 Ratings)

Course Overview

SAP Data Science & ML for SAP Consultants

Master ML and Data Science on SAP Data: Ultimate Hands-On Techniques for Insightful Analysis

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:

  1. Understanding the Data Science Field and Types of Analysis:

    • Gain insights into the fundamental principles and practices of the data science field.

    • Explore various types of analysis that form the backbone of effective data-driven decision-making.

  2. Statistics:

    • Delve into statistical concepts, empowering you to make informed decisions based on data-driven insights.

  3. Python:

    • Acquire proficiency in Python, a versatile programming language extensively used in the data science landscape.

  4. Advanced Statistical Techniques in Python:

    • Apply sophisticated statistical techniques using Python, enhancing your analytical capabilities.

  5. Data Visualization:

    • Master the art of visualizing data to convey meaningful insights through compelling graphics.

  6. Machine Learning:

    • Dive into the dynamic world of machine learning, understanding its principles and applications.

  7. Using Pretrained Models:

    • Leverage the power of pretrained models, including the Google Cloud Natural Language Processing API, for a seamless jumpstart in SAP Application implementation.

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?

  1. Holistic Approach:

    • We address the unique challenges faced by SAP professionals entering the data science field.

    • Our curriculum covers a spectrum of topics that smoothly flow and complement each other, easily connecting to Enterprise Data SAP.

  2. Cost-Effective and Time-Efficient:

    • Access everything you need to become a data scientist from an SAP Consultant at a fraction of the cost of traditional programs.

    • Save valuable time with our efficient and focused learning path.

  3. Comprehensive Package:

    • Enroll in our $3000 data science training program that offers a wealth of knowledge and practical insights.

    • Benefit from active Q&A support, community collaboration, a certificate of completion, and access to future updates.

  4. Real-Life Business Cases:

    • Engage in solving real-life business cases that seamlessly translate to your practical application in the business domain.

  5. Community Support:

    • Join a thriving community of data science learners, fostering collaboration and shared growth.

  6. Risk-Free Learning:

    • We are confident in the excellence of our course content and offer an unconditional 30-day money-back guarantee. No risk for you!

Why Wait? Seize the Opportunity Now!

Course Content

  • 10 section(s)
  • 194 lecture(s)
  • Section 1 Getting System Ready
  • Section 2 Python Programming
  • Section 3 Control Statements in Python
  • Section 4 Data Structures in Python
  • Section 5 Functions & Classes in Python
  • Section 6 Capstone Project using Python Programming
  • Section 7 Numpy for Data Science
  • Section 8 Pandas for Data Science
  • Section 9 Exploratory Data Analysis on Real Life Dataset
  • Section 10 Data Visualization - Matplotlib

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


Reviews

  • P
    Pavani Pavani
    5.0

    The example you have give relating to real life is incredible.

  • S
    SRINIVAS CHALLA
    5.0

    good

  • M
    Md Aaquib Khan
    4.5

    awesome

  • S
    Shamsul Huda
    2.0

    This is old lecture and very short , very basic . If you can update this lecture . Then i think i need to change rating .

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