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Análise De Dados De ERP

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2 months to complete
at 2-3 hours a week
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Overview

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Learning outcomes

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Course content

1

Data Collection Methods

2

Erp System Analysis

3

Data Mining Techniques

4

Business Intelligence Tools

5

Data Visualization Best Practices

Career Path

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Key facts

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Why this course

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People also ask

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm thrilled to have taken the 'Análise De Dados De ERP' course at Stanmore School of Business! As a data analyst in the US, I was looking to upskill and gain practical knowledge in ERP data analysis. The course exceeded my expectations, providing me with in-depth knowledge of data visualization tools and techniques. I particularly appreciated the hands-on exercises and real-world case studies, which helped me develop a deeper understanding of how to analyze and interpret complex data sets. The course materials were top-notch, and the instructor's feedback was invaluable. I've already applied the skills I learned to my current role, and I'm excited to see the impact it will have on my future projects. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to boost their data analysis skills.

LH
Leila Hassan
EG · Course completed

I found the 'Análise De Dados De ERP' course to be a great introduction to the world of ERP data analysis. As a business intelligence professional in Egypt, I was looking to expand my skill set and gain a better understanding of how to work with ERP systems. The course provided a solid foundation in data analysis principles and practices, and I appreciated the focus on practical applications. The instructor was knowledgeable and responsive, and the course materials were well-organized and easy to follow. One area for improvement could be the addition of more regional case studies, as some of the examples felt a bit too focused on Western markets. Nevertheless, I'm happy with the skills I gained and feel more confident in my ability to analyze and interpret ERP data.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Análise De Dados De ERP' course at Stanmore School of Business was an absolute game-changer for me! As a management consultant in Japan, I was looking to develop my data analysis skills and gain a deeper understanding of ERP systems. The course was incredibly engaging, with interactive lessons and real-world examples that made the material feel alive. I loved the emphasis on data visualization and the use of cutting-edge tools like Tableau and Power BI. The instructor was passionate and supportive, and the community of fellow students was active and helpful. I feel like I gained a whole new perspective on data analysis, and I'm already applying the skills I learned to my current projects. If you're looking for a course that will take your data analysis skills to the next level, look no further!

ÉM
Élise Martin
FR · Course completed

I recently completed the 'Análise De Dados De ERP' course at Stanmore School of Business, and I must say it was a thoroughly enjoyable experience. As a financial analyst in France, I was looking to develop my skills in ERP data analysis and gain a better understanding of how to work with complex data sets. The course provided a comprehensive overview of data analysis principles and practices, and I appreciated the focus on practical applications. The course materials were well-organized and easy to follow, and the instructor's feedback was constructive and helpful. One thing that would have been nice is more opportunities for peer feedback and discussion, as some of the lessons felt a bit too self-directed. Nevertheless, I'm happy with the skills I gained and feel more confident in my ability to analyze and interpret ERP data. Overall, I would recommend this course to anyone looking to develop their data analysis skills in a supportive and engaging learning environment.


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Recently updated!

May 2026