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Advance Program in STEM Career: Data Science & Engineering

Name: Advance Program in STEM Career: Data Science & Engineering
Rating: 4.9 (14 reviews)

Integrated exploration of careers in Science, Technology, Engineering, and Mathematics (STEM)

Highest Rated

Created byHuman and Emotion: CHRMI

Last updated 8/2025

English

English [Auto],

What you'll learn

Identify diverse STEM career opportunities and roles.
Apply core engineering and data science principles to real-world challenges.
Work with data collection, analysis, visualization, and machine learning tools
Utilize modern engineering and technology platforms effectively.
Understand ethical, sustainable, and responsible practices in STEM fields.
Build a career portfolio and professional growth plan.

Course content

2 sections • 16 lectures • 8h 23m total length

Introduction5:23
Module 1: Overview of Data Science Careers36:25
Explore data science careers from data analysts and data engineers to machine learning engineers, and learn essential skills, pathways, and certifications shaping the field.
Module 2: Data Collection and Management33:41
Explore data collection and management fundamentals, from surveys, interviews, and observations to web scraping, sensor data, and transactional data, and learn storage, ETL, and security.
Module 3: Data Analysis and Statistical Methods28:47
Data analysis and statistical methods enable extracting insights, with stages, descriptive and inferential statistics, and common techniques like regression, time series, and PCA.
Module 4: Machine Learning Fundamentals32:27
Master the three main types of machine learning: supervised, unsupervised, and reinforcement learning, and the core workflow from data collection to deployment, using tools like TensorFlow, PyTorch, scikit-learn, and Keras.
Module 5: Data Visualization Techniques32:32
Module 6: Big Data Technologies36:30
Explore big data technologies from Hadoop and Spark to cloud platforms and NoSQL, enabling scalable storage and real-time analytics. Master data integration, analytics, visualization, governance, and industry applications.
Module 8: Career Preparation and Growth in Data Science34:27
Advance your data science career through essential skills, education, portfolio development, networking, and internships, with guidance on progression, trends, and continued learning resources.

Intro6:06
Discover how engineering internships bridge theory and practice, develop soft skills and a network of professional contacts, and apply data technology and modern engineering tools across core principles and design.
Module 1: Overview of Engineering Careers41:14
Explore the vast landscape of engineering careers, covering key disciplines, essential skills, and diverse career paths from entry level to leadership.
Module 2: Core Engineering Principles30:42
Explore core engineering principles, from problem solving and systems thinking to safety, sustainability, ethics, and collaboration, and learn to optimize efficiency, cost effectiveness, and continuous improvement through innovation.
Module 3: Engineering Design and Project Development43:22
Explore how engineers translate ideas into real solutions through the engineering design process and project development, from problem definition to implementation, testing, and ongoing maintenance.
Module 4: Specialized Engineering Fields and Applications38:41
Explore specialized engineering fields and their applications across civil, mechanical, electrical, computer, chemical, aerospace, environmental, biomedical, nuclear, and marine engineering, highlighting interdisciplinary problem solving, climate change, renewable energy, and automation.
Module 5: Sustainable Engineering and Ethics33:03
Explore sustainable engineering and ethics, integrating environmental, social, and economic considerations to design solutions—from renewable energy and green buildings to water management and circular economy—that advance public welfare.
Module 6: Data, Technology, and Modern Engineering Tools37:39
Module 7: Career Development in Engineering32:37
Develop a lifelong engineering career through foundational education, specialization, internships, continuous learning, and certifications. Build leadership, project management, and global networking to thrive in emerging technologies and international opportunities.

Requirements

Basic understanding of English
Science or Tech background at high school level

Description

Course Description:
This course offers an integrated exploration of careers in Science, Technology, Engineering, and Mathematics (STEM), with a focus on two high-impact domains—Data Science and Engineering. It equips learners with a solid understanding of foundational STEM principles, applied technologies, problem-solving skills, and ethical considerations. Through hands-on projects, case studies, and industry insights, students will learn how to navigate emerging opportunities, use modern tools, and prepare for professional success in today’s tech-driven world.

In a world driven by innovation, STEM careers are at the forefront of shaping industries, solving global challenges, and driving technological progress. This comprehensive career-oriented course bridges two of the most influential STEM disciplines—Data Science and Engineering—to provide learners with a competitive advantage in the job market and the skills to succeed in the 21st century.

The course takes you on a journey through core scientific principles, modern computational tools, and engineering problem-solving methodologies, while also deep-diving into data analysis, machine learning, and big data applications. It’s not just about theory—learners will engage in hands-on projects, real-world case studies, and interactive labs to apply their knowledge in practical contexts.

From understanding how a mechanical design comes to life, to predicting data-driven business decisions, to building sustainable and ethical solutions for society, this program integrates technical expertise, analytical thinking, and creative problem-solving.

By blending career exploration with technical mastery, the course also provides personalized career guidance, portfolio-building support, and professional networking strategies to help learners step confidently into a STEM role—or advance within their current field.

Whether you aspire to become a data scientist, software engineer, mechanical engineer, AI specialist, systems designer, or an innovator in Industry 4.0, this course equips you with the interdisciplinary skills and mindset needed to thrive in rapidly changing technology landscapes.

Why This Course is Unique

· Dual-Discipline Approach – Learn Data Science and Engineering in one program for cross-functional skillsets.

· Career-Focused Learning – Insights into real-world STEM careers, industry demands, and future trends.

· Hands-On Projects – Apply concepts through integrated engineering + data science projects.

· Future-Proof Skills – Gain expertise in emerging technologies like IoT, AI, Cloud Computing, and Sustainable Engineering.

· Professional Development – Build a portfolio, practice interview techniques, and plan your career growth.

Career Opportunities After Completion

Graduates of this course will be prepared for roles such as:

· Data Analyst / Junior Data Scientist

· Machine Learning Engineer

· Business Intelligence Analyst

· Mechanical / Electrical / Civil Engineer (with data skills)

· IoT Solutions Developer

· Industry 4.0 Process Engineer

· Sustainability Consultant (Engineering & Data focus)

Profile Mapping

Data Science

Course Description:

This course offers a comprehensive overview of careers in data science, exploring key roles, essential skills, and pathways in this rapidly evolving field. Students will gain insights into data analysis, machine learning, data visualization, and the ethical considerations of working with data.

· Module 1: Overview of Data Science Careers

· Module 2: Data Collection and Management

· Module 3: Data Analysis and Statistical Methods

· Module 4: Machine Learning Fundamentals

· Module 5: Data Visualization Techniques

· Module 6: Big Data Technologies

· Module 7: Career Preparation and Growth in Data Science

Engineering

Course Description:

This course provides a comprehensive overview of careers in engineering, covering various disciplines, fundamental skills, and pathways within the profession. Students will gain insights into core engineering concepts, hands-on project development, and the role of innovation in solving real-world challenges.

· Module 1: Overview of Engineering Careers

· Module 2: Core Engineering Principles

· Module 3: Engineering Design and Project Development

· Module 4: Specialized Engineering Fields and Applications

· Module 5: Sustainable Engineering and Ethics

· Module 6: Data, Technology, and Modern Engineering Tools

· Module 7: Career Development in Engineering

Who this course is for:

Students exploring STEM career options
Early-career professionals seeking skill alignment
Individuals interested in cross-disciplinary STEM skills
Educators and career counselors

Advance Program in STEM Career: Data Science & Engineering

What you'll learn

Explore related topics

Course content

Data Science8 lectures • 4hr

Engineering8 lectures • 4hr 23min

Requirements

Description

Who this course is for: