Learn essential data analytics skills in this 5-day course, designed for non-programmers in manufacturing. Gain hands-on experience with data analytics tools to clean, explore, visualize, and report data, and apply machine learning techniques without coding.
The Level 1 Data Analytics Essentials course is a 5-day program crafted for professionals in manufacturing who need foundational skills in data analytics but lack programming expertise. This course provides:
Introduction to Data Analytics and Data Science: Understand the basics of data analytics and the role of data science in manufacturing.
Data Cleaning and Manipulation: Learn essential data preparation techniques to clean and organize data for analysis.
Data Exploration and Visualization: Use dashboard tools to visualize data insights, enabling clear communication and better decision-making.
Overview of Data Mining and Machine Learning: Gain exposure to data mining concepts and machine learning basics, including various algorithms.
Machine Learning Model Implementation: Learn how to split data, train models, and evaluate results without writing code, making data analytics accessible for non-programmers.
Data Reporting: Create clear and effective reports to present data findings to stakeholders.
Engineers, technicians, technical managers, IT/ERP support teams, and others in manufacturing who need to understand data analytics.
Non-programmers interested in leveraging data analytics for business insights and decision-making.
Background in computer science, mathematics, statistics, analytics, or engineering.
5 Days
Participants are exposed to theoretical fundamentals and demonstrations of information technology related followed by hands-on activities to support application of competencies acquired.
Describe the fundamental steps in data analytics.
Clean and manipulate data to meet analytical needs.
Identify and apply machine learning techniques.
Split datasets for training and testing.
Develop and evaluate training models for data analysis.
Create effective visualizations and reports.
