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Physicist

Study matter, energy and forces through experiments, theory and simulation.

physicsresearchmathscience

Career facts

Preparation
Extensive preparation needed · most need graduate school
Ways in
  • Bachelor's degree
  • Graduate degree

About this career

Physicists design experiments or computer simulations to test how particles, materials, light or energy behave, analyze the measurements, and publish the results or apply them to devices such as lasers, sensors and medical scanners. They use advanced math, programming in Python or C++, and specialized lab instruments. Research positions require a PhD in physics after a bachelor's degree.

Learning path

Take these courses in order, from beginner to mid-level.

  1. Step 1: STEM Foundations: The Universal Skill Stack

    The shared base every STEM career uses: working with numbers and units, testing ideas fairly, handling data and code, and explaining your work.

    Level: Beginner4 modules · 12 lessons · 7h 18mAlso used in 34 other careers
  2. Step 2: Foundations for Physical Science & Materials Careers

    How chemists, physicists and materials scientists work: the science and math core, units and estimation, the research path, and how to read and record science.

    Level: Beginner3 modules · 9 lessons · 4h 35mAlso used in 2 other careers
  3. Step 3: Digital Literacy for Tech & STEM Work

    The everyday computer, internet, safety and AI skills every tech and STEM job assumes you already have.

    Level: Beginner4 modules · 12 lessons · 6h 8mAlso used in 34 other careers
  4. Step 4: Professional Communication & Teamwork

    Write clear emails and documents, present and run meetings, work well on teams, and navigate résumés, interviews and networking.

    Level: Beginner4 modules · 12 lessons · 7h 24mAlso used in 34 other careers
  5. Step 5: Math for Tech & STEM

    The practical math behind tech and STEM work: numbers, algebra, functions, geometry, logic and counting, with short code exercises.

    Level: Beginner5 modules · 15 lessons · 7h 32mAlso used in 34 other careers
  6. Step 6: Python Fundamentals

    Learn to program in Python from zero: values, decisions, loops, functions, data structures, files, modules and a small data project.

    Level: Beginner5 modules · 15 lessons · 9h 53mAlso used in 22 other careers
  7. Step 7: Statistics Fundamentals

    Describe data, reason with probability, and draw honest conclusions from samples, with short fill-in-the-blank Python exercises.

    Level: Beginner4 modules · 12 lessons · 6h 50mAlso used in 14 other careers
  8. Step 8: Lab Safety Fundamentals

    Recognise lab hazards, read GHS labels and Safety Data Sheets, choose PPE, and understand the training and records that keep labs safe.

    Level: Beginner3 modules · 9 lessons · 5h 10mAlso used in 5 other careers
  9. Step 9: Calculus & Linear Algebra for STEM

    The calculus and linear algebra behind science, engineering and machine learning: derivatives, integrals, vectors, matrices, gradients and eigenvalues, with Python exercises.

    Level: Intermediate4 modules · 12 lessons · 7h 48mAlso used in 11 other careers
  10. Step 10: Physics for Engineering & Science

    The physics behind engineering and the physical sciences: motion, forces, energy, momentum, torque, circuits, induction, waves and heat, with Python exercises and a home pendulum lab.

    Level: Intermediate4 modules · 12 lessons · 7h 17mAlso used in 5 other careers
  11. Step 11: Scientific Python

    Use NumPy arrays, plots, fitting, numerical methods, units and instrument data files to do real engineering and science calculations in Python.

    Level: Intermediate4 modules · 12 lessons · 12h 58mAlso used in 6 other careers
  12. Step 12: Electrical Circuits

    Learn DC and AC circuit analysis, power factor and three-phase basics, safe measurement on battery circuits, simulation, transformers, motors and systematic troubleshooting.

    Level: Intermediate4 modules · 12 lessons · 8h 43mAlso used in 3 other careers
  13. Step 13: Computational & Modern Physics

    Special relativity, quantum and nuclear physics, Monte Carlo, orbit and PDE solvers, fitting with uncertainties, data acquisition and research computing, all in Python.

    Level: Mid-level3 modules · 9 lessons · 5h 24m

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