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

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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Steel Manufacturing Data Optimization Specialist The Complete SQL & Python for SQL with Hands-on Questions

In this more than 16-hour course, we teach the complete PostgreSQL Database, SQL, and Python for starting a career in data science! This course is truly for everyone. You must take this course not only because SQL and Python are among the most useful tools for data analysis but also because you will get a hands-on and theoretical understanding of how to apply SQL and Python in practice. After solving and digesting 300 practical questions, you will become a real SQL & Python expert!

Provider
Udemy
Target
Data Science, Business and Data Analytics, Software Development, Database Administration
Sector
IT
Method
Online
Certification
Certificate of Completion
Duration
15.5 hours on-demand video
Assessment
Yes
Cost
CA$59.99

Learning Outcomes

  • Master fundamental, intermediate, and advanced SQL queries
  • Gain hands-on experience solving 300+ SQL and Python questions
  • Manage and utilize PostgreSQL and PgAdmin interfaces
  • Perform database administration efficiently
  • Apply SQL and Python in real-world business and data analytics scenarios
  • Develop skills in stored procedures, triggers, regular expressions, and statistical analysis
  • Implement business analysis methods such as cohort analysis, fraud detection, and stock trend analysis
  • Prepare for job interviews with SQL and Python-focused guidance

Learning Content

  • Introduction
  • Solve basic SQL and Python questions
  • Intermediate SQL and questions
  • Advanced SQL and questions
  • SQL projects


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Data Analysis and Visualization Python Data Visualization

Learn how to create stunning data visualizations in Python. This course covers essential tools like Matplotlib, Seaborn, and Plotly. You'll gain hands-on experience transforming data into compelling visual stories.

Provider
Talk Python Training
Target
Data Analysis and Visualization
Sector
Data Visualization
Method
Online, Self-Paced Learning
Certification
Certificate of Completion
Duration
4.6 Hours
Assessment
Project-based evaluation
Cost
Paid €44+tax

Learning Outcomes

  • Develop skills to visualize and present data effectively using Python
  • Gain hands-on experience with visualization libraries such as Matplotlib, Seaborn, and Plotly
  • Create interactive and static charts
  • Apply best practices for data visualization

Learning Content

  • Matplotlib Fundamentals
  • Seaborn for Statistical Visualizations
  • Interactive Charts with Plotly
  • Best Practices for Data Visualization
  • Practical Data Visualization Projects


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Steel Manufacturing Data Optimization Specialist Anomaly Detection in Python

Learn to detect anomalies in datasets using Python, exploring methods and algorithms essential for identifying unusual data points in structured datasets.

Provider
DataCamp
Target
Data Analysis and Machine Learning
Sector
IT
Method
Online
Certification
Certificate of Completion
Duration
Approximately 4 hours
Assessment
Yes
Cost
Subscription required

Learning Outcomes

  • Gain proficiency in anomaly detection techniques
  • Utilize Python libraries for data preparation and anomaly detection
  • Develop practical skills for applying models in real-world scenarios

Learning Content

  • Introduction to Anomaly Detection
  • Univariate and Multivariate Outlier Detection
  • Time-Series Anomaly Detection
  • Using Isolation Forests, K-Means, and Autoencoders


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Data Science, Artificial Intelligence, and Machine Learning Machine Learning Specialization

A comprehensive introduction to machine learning concepts and techniques. It covers supervised and unsupervised learning, neural networks, and other essential ML concepts.

Provider
Coursera
Offered By
DeepLearning.AI and Stanford University
Target
Data Science, Artificial Intelligence, and Machine Learning
Method
Interactive video lectures, quizzes, and hands-on projects
Certification
Professional Certificate upon completion
Duration
Approximately 4 months (self-paced)
Assessment
Yes
Cost
Free with Subscription option

Learning Outcomes

  • Develop skills to apply machine learning models
  • Understand concepts behind ML algorithms
  • Gain practical knowledge for real-world machine learning tasks

Learning Content

  • Supervised Learning Algorithms
  • Unsupervised Learning
  • Neural Networks
  • Evaluation Metrics
  • Regularization Techniques
  • Model Deployment Strategies


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Steel Manufacturing Data Optimization Specialist Python using Data Analytics with Power BI

Softcrayons offers the Python using Data Analytics with Power BI course, catering to those seeking expertise in data analysis and visualization. Participants delve into Python's robust capabilities for data manipulation and processing, coupled with Power BI's visualization tools. The course covers Python and essential Python libraries for data analytics, including Pandas, NumPy, and Matplotlib, enhancing participants' analytical skills. Through hands-on projects and real-world datasets, participants gain practical experience in analyzing and visualizing data effectively. Led by industry experts, Softcrayons' training ensures a comprehensive understanding of both Python and Power BI. Join Softcrayons to unlock the power of data analytics and advance your career in this rapidly growing field.

Provider
SoftCrayons
Target
Data Analytics, Business Intelligence, Data Science, Machine Learning, IT & Software Development
Sector
IT
Method
Live Online / Self-Paced / Classroom
Certification
Softcrayons Certification
Duration
6 Months - Self-Paced
Assessment
Yes
Cost
N/A

Learning Outcomes

  • Master Python fundamentals for data analytics
  • Learn data manipulation and analysis using Pandas and NumPy
  • Understand data visualization principles using Power BI
  • Gain hands-on experience in building interactive dashboards and reports
  • Develop statistical analysis and machine learning skills
  • Integrate Python scripts with Power BI for advanced analytics

Learning Content

  • Python programming and essential data analytics libraries (Pandas, NumPy, Matplotlib)
  • Data cleaning, transformation, and statistical analysis
  • Power BI fundamentals and interactive dashboard creation
  • Machine learning concepts for predictive analytics
  • Real-world projects and case studies


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Manufacturing, Operations Management, Industrial Engineering MES/MOM Certificate of Competency

This program provides a deep understanding of Manufacturing Execution Systems (MES) and Manufacturing Operations Management (MOM) concepts and practices. Participants learn how to optimize operations and achieve business goals through advanced manufacturing solutions.

Provider
MESA (Manufacturing Enterprise Solutions Association)
Offered By
MESA International
Target
Manufacturing, Operations Management, Industrial Engineering
Method
Expert-led sessions, case studies, interactive discussions, and practical exercises
Certification
MES/MOM Certificate of Competency upon completion
Duration
Multiple days (in-person and virtual options)
Assessment
Yes
Cost
Available upon inquiry

Learning Outcomes

  • Develop competencies in MES/MOM frameworks
  • Learn to align manufacturing operations with business strategies
  • Understand integration techniques for efficient workflows

Learning Content

  • MES/MOM Functions and Architectures
  • Key Standards and Technologies
  • Data Integration
  • Analytics
  • Performance Optimization
  • Use Cases and Case Studies


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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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CourseThe complete SQL & Python for SQL with Hands-on Questions

Target Group
Mid Level Employee

Level
Extended Know-How

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CoursePython Data Visualization

Target Group
Senior Employee

Level
Extended Know-How

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CoursePython Using Data Analytics & Power BI

Target Group
Senior 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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CourseAnomaly Detection in Python

Target Group
Mid Level Employee

Level
Foundations

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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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CourseMachine Learning Specialization

Target Group
Senior Employee

Level
Extended Know-How

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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

Learn More

CourseData Science Fundamentals with Python and SQL Specialization

Target Group
Junior (Fresh Employee)

Level
Extended Know-How

Learn More

CourseAnomaly Detection in Python

Target Group
Junior (Fresh Employee)

Level
Foundations

Learn More

CoursePython Using Data Analytics & Power BI

Target Group
Expert

Level
Extended Know-How

Learn More
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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