Steel

Steel Manufacturing Data Optimization Specialist

A Steel Manufacturing Data Optimization Specialist is responsible for collecting, analysing, and interpreting data related to production processes, quality control, and operational efficiency within a steel manufacturing environment.

The role involves leveraging data-driven insights to optimize production recipes, monitor non-conformities, predict future outcomes, and support decision-making processes to enhance overall productivity and quality in steel manufacturing

All training courses

SQL for Data Science Oracle , MySQL, R and Python [2024] Data Science Fundamentals with Python and SQL Specialization Scikit-Learn to Solve Regression Machine Learning Problems Manufacturing Execution Systems - eLearning

Training courses by skill

IT&Software SQL for Data Science Oracle , MySQL, R and Python [2024]

This SQL course, led by a data scientist with 15+ years of experience, offers lifetime access and a money-back guarantee. You'll learn to write SQL queries from basic to advanced, work with Oracle and MySQL, and integrate SQL with Python and R for data analysis and visualizations. The course also covers database creation, schema modifications, and importing/exporting data, using real-world datasets.

Provider
Udemy
Target
Beginners who are looking to enhance their data science skills
Sector
IT
Method
Online
Certification
Certificate of Completion
Duration
4,5 Hours
Assessment
Yes
Cost
20€

Learning Outcomes

  • Start writing simple to the most advanced SQL queries in Oracle and MySQL
  • Start using SQL queries on powerful R and Python console and plots graph for visualizations and data analysis
  • Create your own database in your laptop - Oracle and MySQL
  • Start using filters , group by & having clause , joins with multiple tables ,aggregators etc.
  • Create DDL commands and modify the schema objects.
  • Import & Export files from and to database

Learning Content

  • Introduction
  • Before we began the next Sections Download the following files
  • Database Installation - Oracle and MySQL
  • Oracle vs MySQL Resources
  • Basics of SQL - Write your 1st SQL
  • Advance SQL
  • Nested SQL and Joins
  • SQL Practise Questions
  • SQL in Python and Data Visualizations
  • SQL in R and Data Visualizations
  • Import/Export Files into Database - Oracle and MySQL
  • Case study-market data
  • Bonus lecture on machine learning


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Data Science Data Science Fundamentals with Python and SQL Specialization

This course helps to build the foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, and SQL. Perform statistical analysis on real data sets.

Provider
Coursera
Target
Data Analysis
Sector
Data Analysis
Method
Online
Certification
Certificate of Completion
Duration
85 Hours
Assessment
Yes
Cost
Free

Learning Outcomes

  • Develop practical knowledge and experience to delve deeper into Data Science
  • Work on more advanced Data Science projects

Learning Content

  • Tools for Data Science
  • Python for Data Science, AI & Development
  • Python Project for Data Science
  • Statistics for Data Science with Python
  • Databases and SQL for Data Science with Python


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Data Science / Machine Learning Scikit-Learn to Solve Regression ML Problems

In this project, we will learn how to build and train regression models using the Scikit-Learn library. Scikit-learn is a free machine learning library developed for Python. It offers several algorithms for classification, regression, and clustering, including support vector machines, random forests, gradient boosting, and k-means.

Provider
Coursera
Target
Aspiring data scientists, machine learning enthusiasts, and anyone interested in applying Python for predictive modeling and regression analysis
Sector
Data Science, Technology
Method
Interactive, hands-on project
Certification
Certificate of Completion
Duration
2 Hours
Assessment
Project-based assessment with real-world applications
Cost
Free

Learning Outcomes

  • Effectively use Scikit-Learn for regression tasks
  • Create and evaluate regression models using various key performance indicators (KPIs)
  • Apply these skills to solve various machine learning problems

Learning Content

  • Introduction to Scikit-Learn and regression in ML
  • Data preparation and preprocessing techniques
  • Building regression models with Scikit-Learn
  • Model evaluation and performance metrics
  • Hands-on project work with real datasets


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Industry 4.0 Manufacturing Execution Systems - eLearning

In the era of Industry 4.0, companies are striving to turn their factories into smart manufacturing plants to increase production speed, lower costs, improve product quality, and offer customized products. One key technology essential for this transformation is the Manufacturing Execution System (MES), often considered the foundation of Industry 4.0.

Provider
TÜV SÜD
Method
Online
Certification
Certificate of Attendance
Duration
1 Hour
Cost
$95

Learning Outcomes

  • Define the key features and functions of Manufacturing Execution Systems (MES)
  • Explain the role of MES in manufacturing operations management
  • Outline the importance of MES in meeting business objectives

Learning Content

  • MES - Manufacturing Execution System
  • History of MES
  • Future of MES
  • ISA 95 and RAMI 4.0
  • Key Elements and Benefits of MES
  • MES Modules
  • OEE - Overall Equipment Effectiveness
  • Tracking and Genealogy Module
  • Equipment Maintenance Management
  • APS - Advanced Planning and Scheduling
  • Standardized Interface Using MES Visualization
  • Key Characteristics of Modern MES


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Data manipulation, analysis & visualisation
Expertise in Python, R, & SQL for working with data & experience in tools like Tableau, Power BI & Matplotlib for creating dashboards & reports.

CourseSQL for Data Science Oracle , MySQL, R and Python [2024]

Target Group
Mid Level Employee

Level
Extended Know-How

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CourseData Science Fundamentals with Python and SQL Specialization

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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Statistical analysis for steelmaking optimization & quality control
Deep knowledge of statistical methods to analyze data distributions, trends & anomalies, supporting steelmaking recipe optimization & quality control.

CourseData Science Fundamentals with Python and SQL Specialization

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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Development of predictive models through machine learning
Understanding of machine learning algorithms & frameworks such as Scikit-learn & TensorFlow to develop predictive models for process optimization & non-conformity detection.

Course Scikit-Learn to Solve Regression Machine Learning Problems

Target Group
Junior (Fresh Employee)

Level
Foundations

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Custom data analysis & task automation
Proficiency in programming languages like Python for custom data analysis scripts & repetitive tasks automation.

CourseSQL for Data Science Oracle , MySQL, R and Python [2024]

Target Group
Mid Level Employee

Level
Extended Know-How

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CourseData Science Fundamentals with Python and SQL Specialization

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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Efficient database management
Managing & optimizing database queries to efficiently handle large datasets from production lines.

CourseData Science Fundamentals with Python and SQL Specialization

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

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Knowledge of MES systems
Experience with Manufacturing Execution Systems (MES) to extract, analyze, and utilize production data for operational improvements.

CourseManufacturing Execution Systems - eLearning

Target Group
Mid Level Employee

Level
Extended Know-How

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