Aluminium

Process Data Analyst

The Process Data Analyst for Aluminum Alloy Production is responsible for collecting, processing, and  analysing data from the specific stages of the aluminum alloy production process. This role focuses on  leveraging machine learning models to suggest product recipes,

assessing and selecting the optimal recipes,  and continuously improving the model through feedback and retraining. The analyst ensures that data-driven  decisions enhance operational efficiency, reduce costs, and maintain high-quality standards.

All training courses

Training courses by skill

Data Visualization Data Visualization in Power BI

In this Power BI course, you will learn to create insightful visualizations through built-in and customized charts and conditional formatting. You will discover how to create a plethora of visualizations such as scatter plots, tornado charts, gauges, and how to visualize everything without overwhelming your audience.

Provider
Datacamp
Target
  • Directors
  • Plant Managers
  • Engineers
  • Data Analysts
Sector
  • Automotive
  • Aerospace
  • Agriculture
  • Chemical
  • Computer - Software
  • Construction
  • Education
  • Research & Development
  • Energy
Area
Data Visualization
Method
Webinar/Online
Duration
3 Hours
Cost
Free
Date
Ongoing
Location
Online

Learning Outcomes

  • Create dynamic visualizations using a variety of Power BI tools and charts
  • Apply conditional formatting to enhance data clarity and highlight key insights
  • Use different types of visualizations, such as scatter plots, gauges, and more, to represent data effectively
  • Present complex information clearly, ensuring visualizations are informative and not overwhelming for the audience
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Data Visualization Power BI and Tableau for Data Visualization

This course provides comprehensive training on connecting and integrating various data sources such as CSV files, SQL databases, and cloud storage into Power BI and Tableau. Students will learn to manipulate and transform data using Power Query, master advanced data modeling concepts, and design powerful dashboards. The course covers developing complex charts, in-depth data analysis with DAX functions and calculated fields, and using advanced visualization techniques. Additionally, students will learn effective filtering, sorting, and how to publish interactive reports for professional data storytelling.

Provider
Udemy
Target
  • Directors
  • Plant Managers
  • Engineers
  • Data Analysts
Sector
  • Automotive
  • Aerospace
  • Agriculture
  • Chemical
  • Computer - Software
  • Construction
  • Education
  • Research & Development
  • Energy
Area
Data Visualization
Method
Webinar/Online
Duration
18 Hours
Cost
$20
Date
Always available - last update 10/2024
Location
Online

Learning Outcomes

  • Connect and integrate various data sources into Power BI and Tableau
  • Manipulate and transform data using Power Query, including merging and pivoting
  • Design interactive dashboards that effectively communicate data insights
  • Perform in-depth data analysis using DAX functions and calculated fields
  • Publish and share professional-quality reports and dashboards
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Data Analysis Introduction to Statistics

This course provides a comprehensive foundation in statistical thinking, equipping students with the essential concepts needed to learn from data and effectively communicate insights. Throughout the course, students will explore various topics, including descriptive statistics, sampling techniques, probability, and regression analysis. The curriculum emphasizes the principles of sampling, randomized controlled experiments, and tests of significance, enabling students to perform exploratory data analysis and select appropriate statistical methods for diverse contexts. By the end of the course, students will have gained the foundational skills necessary for more advanced studies in statistical thinking and machine learning.

Provider
Coursera
Target
  • Directors
  • Plant Managers
  • Engineers
  • Data Analysts
Sector
  • Automotive
  • Aerospace
  • Agriculture
  • Chemical
  • Computer - Software
  • Construction
  • Education
  • Research & Development
  • Energy
Area
Statistics and Probability
Method
Webinar/Online
Duration
14 Hours
Cost
Free
Date
Ongoing
Location
Online

Learning Outcomes

  • Perform exploratory data analysis using descriptive statistics to summarize and interpret data
  • Understand key principles of sampling and design randomized controlled experiments to gather data effectively
  • Apply probability concepts and recognize the significance of sampling distributions and the Central Limit Theorem
  • Conduct regression analysis and identify relationships between variables
  • Select and apply appropriate tests of significance in various contexts, including resampling and multiple comparisons
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Data visualization tools & reporting
Proficiency in data visualization tools such as Tableau & Power BI to create dashboards & reports that visualize the rating & selection process, as well as feedback on chemical composition & cost.

CourseData Visualization in Power BI

Target Group
Junior (Fresh Employee)

Level
Foundations

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CoursePower BI and Tableau for Data Visualization

Target Group
Mid Level Employee

Level
Extended Know-How

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Data-driven decision making
Knowledge of statistical analysis & decision-making frameworks to rate & select optimal recipes based on model outputs, ensuring compliance with cost & quality standards.

CourseIntroduction to Statistics

Target Group
Mid Level Employee

Level
Foundations

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