Course Title: Python Fundamentals
Python Project-Based Course for Aspiring Analysts and Data Scientists
Dive right into the good stuff where Python meets real-world data. This is about getting hands-on, making sense of the mess, and pulling out insights that matter. No fluff, just practical skills that you’ll actually use.
SELF-PACED COURSE • HUMAN MODERATED BY THE UNIVERSITY OF UTAH
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Python Fundamentals
Time Commitment
30 Days (self-paced)
Price
$65
Topics
Data Science, Data Analysis, Data Visualization
Why Headlamp?
Because you're not just learning Python. You're building a portfolio that says, "I can do this," loud and clear to the Employers in our network.
COURSE OVERVIEW
Begin your data journey with Python
You’re stepping into the Python ring with zero experience required—just bring that spark of curiosity. This course is your fast track from Python newbie to data-slinging pro. We’re not just learning code; we’re learning how to make data bend to our will. Imagine transforming complex datasets into actionable insights that can shake up any industry from tech to finance.
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This course is for you if...
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You're Eyeing a Six-Figure Salary—knowing the right data skills can unlock lucrative roles in tech, finance, and beyond.
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You've Stared at Spreadsheets Asking, "So What?"—this course empowers you to translate data into impactful narratives.
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You See Data as a Catalyst for Change—equipping you to innovate in healthcare, combat climate change, or drive business forward.
This course includes
5 interactive learning lessons
6 skill development experiences
Project visibility to hiring managers
Hands-on projects to apply learnings
Portfolio artifacts to keep forever
Lifetime access to course materials
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Why learn on Headlamp?
Headlamp redefines how you land your dream job. Gain skills employers want through near-world experiences, build a portfolio that tells your story forever, and directly match with hiring managers in our Employer network.
How Headlamp works..
01
Master a Hiring Manager’s most-wanted skill
Dive into the skill that’s at the top of every hiring manager’s list. Python data analysis isn’t just a buzzword; it’s a game-changer in the job market.
02
Create a portfolio piece
Stand out by documenting your journey through Python data analysis. We’ll help you craft a portfolio piece that showcases your skill, setting you apart in any job market.
03
Get matched with Employers through Headlamp
Let’s make your project work for you. Learn how to get your portfolio piece in front of eager employers with Headlamp, making your transition or entry into the job market as smooth as possible.
Unlock the Power of Data with Python
Learn the skills that top employers demand.
Course details
01
Grasp Python Basics
Begin at square one with Python, where we demystify coding and set you up with the fundamental skills for data analysis. You'll learn to write your first lines of code, understand Python syntax, and start thinking like a data analyst.
02
Navigate VS Code and Jupyter Notebooks
Get hands-on with the tools of the trade. VS Code and Jupyter Notebooks become your laboratories for experimentation, where you'll run your Python scripts, analyze data, and share your findings.
03
Data Manipulation with Pandas
Pandas is Python's powerhouse for data manipulation. You'll learn to wrangle, clean, and transform data, preparing it for deeper analysis and insights.
04
Visual Storytelling with Seaborn
Data isn’t just numbers; it’s stories waiting to be told. Seaborn helps you tell these stories visually, making complex insights accessible and compelling through beautiful, informative plots.
05
Master Lists for Structured Data
Lists in Python are your secret weapon for organizing data. We break it down, showing you how to manage, manipulate, and make the most out of lists—no prior knowledge needed.
05
Automate with Custom Functions
Ever wish you could just automate the boring stuff? We’ll show you how with custom functions. It’s about working smarter, not harder, turning repetitive tasks into one-click wonders.
Meet your course developer
Rebecca Barter, PhD
Rebecca is a statistician, data scientist, and educator based at the University of Utah. With a focus on healthcare data analysis, she completed her PhD in Statistics at UC Berkeley, delving into predictive modeling and causal inference using electronic health records.
As a certified RStudio and Software Carpentry instructor, Rebecca shares her expertise through teaching undergraduate statistics courses and leading data science workshops. Currently co-authoring a book on responsible data analysis, Rebecca's passion for data extends beyond academia into her hobbies of hiking, rock climbing, and art projects.
Unlock the Power of Data with Python