Engineering & Data Science Essentials

Name: Engineering & Data Science Essentials
Rating: 4.3 (5 reviews)

Master data analysis, visualization, and decision-making for real-world engineering challenges.

Created byTech Geeks, Samar B. Al-Madhoun, Samar Basheer

Last updated 3/2025

English

What you'll learn

The fundamentals of engineering principles and how they relate to data science
Data analysis techniques to extract valuable insights from data
How to use data visualization tools to communicate complex information effectively
Problem-solving strategies for engineering and technical challenges
How to apply data-driven decision-making in real-world scenarios

Course content

4 sections • 19 lectures • 56m total length

Introduction2:18
Explore how engineering principles and data science combine to collect, clean, analyze, and visualize data, apply problem solving strategies, and drive data-driven decisions through real world case studies.

Section Intro0:42
Introduction to Engineering Principles3:10
Engineering and Data Science6:00
Explore how engineering and data science fuse to drive smarter designs, predictive maintenance, and data-driven decision making across automotive, energy, healthcare, and aerospace with machine learning and digital twins.
Problem-Solving Techniques4:49
Master six-step engineering problem solving, applying root cause analysis, design thinking, and computational modeling and simulation to identify problems, simulate outcomes, and drive data-driven decisions.
Section Summary0:52
Reading Material0:23

Section Intro0:39
Data Analysis Techniques5:33
Data Visualization Tools5:43
Discover data visualization tools—Tableau, Power BI, and Python's Matplotlib—that transform raw data into clear, actionable insights through real-time dashboards, graphs, and heatmaps.
Interpreting Data Visualizations5:23
Learn to interpret data visualizations—line graphs, bar charts, scatter plots, and heatmaps—to extract trends, spot anomalies, and avoid misleading visuals for data-driven decisions.
Section Summary0:55
Reading Material0:26

Section Intro0:41
Data-Driven Strategies5:25
Discover data driven strategies that guide decisions with data insights, using descriptive, predictive, and prescriptive analytics to reduce uncertainty, boost efficiency, and improve outcomes across industries.
Engineering Decision-Making6:01
Explore data driven engineering decision making that balances safety, efficiency, and cost through trade off analysis, risk assessment, and optimization, with real world aerospace, civil, and manufacturing case studies.
Case Studies in Data-Driven Decisions6:01
Explore data-driven engineering decision making across aerospace, civil, and manufacturing case studies. Learn trade-off analysis, risk assessment, and optimization techniques that balance safety, cost, and performance.
Section Summary0:56
Reading Material0:30

Requirements

No prior data science experience required – We cover the fundamentals.
Basic understanding of engineering or mathematics is helpful but not mandatory.
A willingness to analyze and interpret data using real-world case studies.
Access to a computer with internet for hands-on exercises and visualization tools.

Description

In today’s fast-paced world, engineers and data scientists must work together to solve complex problems using data-driven insights. This course bridges the gap between engineering fundamentals and data science, equipping you with the analytical and problem-solving skills needed to thrive in industries like technology, manufacturing, and research.

Through hands-on lessons, real-world case studies, and practical tools, you will learn to analyze data, visualize insights, and apply engineering principles to make strategic decisions. Whether you're an engineer looking to expand into data science or a data enthusiast aiming to understand engineering applications, this course is designed for you.

What makes this course different?

Comprehensive Curriculum – Covers engineering fundamentals, data analysis, visualization, and decision-making techniques.
Real-World Applications – Learn how data science is transforming industries with practical case studies.
Hands-On Learning – Gain experience with problem-solving techniques and data visualization tools.

What You Will Learn:

The fundamentals of engineering principles and how they relate to data science
Data analysis techniques to extract valuable insights from data
How to use data visualization tools to communicate complex information effectively
Problem-solving strategies for engineering and technical challenges
How to apply data-driven decision-making in real-world scenarios

Who Is This Course For?

Engineers looking to enhance their data science skills
Data scientists interested in applying their skills to engineering problems
Students & professionals in STEM fields wanting a practical approach to data analysis
Managers & decision-makers who need data-driven insights for strategic planning

Instructor Bio:

Taught by Sam, an experienced engineer and data scientist, this course is designed with practical industry applications in mind. With over 3 years of experience, Sam has worked on cutting-edge projects, helping businesses leverage data for smarter decisions.

Enroll now and start mastering data-driven engineering strategies today!

Who this course is for:

Engineers looking to enhance their data science skills
Data scientists interested in applying their skills to engineering problems
Students & professionals in STEM fields wanting a practical approach to data analysis
Managers & decision-makers who need data-driven insights for strategic planning
This course is designed to be beginner-friendly, making it easy for anyone interested in engineering and data science to get started!

Engineering & Data Science Essentials

What you'll learn

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Course content

Introduction1 lecture • 2min

Engineering Fundamentals6 lectures • 16min

Data Analysis and Visualization6 lectures • 19min

Data-Driven Decision Making6 lectures • 20min

Requirements

Description

Who this course is for: