IntelliCademy Python for Data Science
Python for Data Science builds directly on introductory Python and introduces the essential tools and workflows for applying Python to real data. Over 40 hours learners handle, analyse and visualise data with the industry-standard libraries — NumPy, pandas, SciPy, matplotlib and seaborn — working in Jupyter against real datasets to bridge the gap between coding basics and applied data science.
Course Overview
- 40 hours of instruction across five days, taught by IntelliGenesis instructors.
- Interactive environment using Jupyter Notebook.
- Hands-on practice with real datasets throughout.
- Designed to meet mission-ready federal workforce needs.
Who Should Attend
- Aspiring data scientists.
- Analysts looking to automate tasks.
- Cybersecurity and intelligence professionals upskilling into technical roles.
- Technical managers who want to understand the tools their teams use.
Prerequisites
- Basic familiarity with Python syntax and programming concepts.
- Experience executing and editing Jupyter Notebooks.
- Familiarity with variables, data types, functions, loops and basic Python programming.
- A PC or laptop able to reach the supplied virtual environment, and reliable internet access.
No prior experience with NumPy, pandas, SciPy, matplotlib, seaborn or formal data science workflows is required. All software, libraries, notebooks, starter files and datasets are provided.
What You'll Learn
- Introduction to NumPy for numerical computation.
- Introduction to pandas for working with datasets — loading, cleaning and exploring data.
- Introduction to statistics and hypothesis testing using SciPy.
- Basic data visualisation using matplotlib and seaborn.
- Understanding and applying descriptive statistics in Python.
- Working with CSV and Excel files and exploring structured data.
- Writing simple Python scripts that answer data-driven questions.
Next Steps
Prepares learners for more advanced AI, ML and data engineering courses, including the IntelliCademy AI/ML Specialist bootcamp.
Related training topics
Justify your training
Use this sample request letter — copy it into an email to your manager and personalize the bracketed details to make the case for the time and budget.
Sample training request letter
Subject: Request for Data Analytics & Databases training from Applied Technology Academy
[Decision Maker Name],
I'm writing to request time and budget approval to complete Applied Technology Academy's course, IntelliCademy Python for Data Science. The information below outlines how this training benefits our organization, the tasks I'll be able to perform after completing it, and relevant cost and funding details.
Course Description
Python for Data Science builds directly on introductory Python and introduces the essential tools and workflows for applying Python to real data. Over 40 hours learners handle, analyse and visualise data with the industry-standard libraries — NumPy, pandas, SciPy, matplotlib and seaborn — working in Jupyter against real datasets to bridge the gap between coding basics and applied data science. Applied Technology Academy is an award-winning, SBA-certified woman-owned training provider (est. 2008) whose instructors are active practitioners. The course combines instructor-led training with practical exercises, real-world examples, and computer-based activities designed to reinforce job-relevant skills.
Course Objectives
Once I've completed the course, I'll be able to:
- Introduction to NumPy for numerical computation.
- Introduction to pandas for working with datasets — loading, cleaning and exploring data.
- Introduction to statistics and hypothesis testing using SciPy.
- Basic data visualisation using matplotlib and seaborn.
- Understanding and applying descriptive statistics in Python.
- Working with CSV and Excel files and exploring structured data.
- Writing simple Python scripts that answer data-driven questions.
Expected Organizational Benefits
After completing this course, I will be better equipped to apply these skills directly to our projects, reduce our reliance on outside expertise, strengthen our team's capabilities, and share what I learn with colleagues.
Expected Cost & Funding
Course fee: [request an itemized quote at the link below]. Applied Technology Academy supports multiple funding paths that may reduce or cover this cost: GSA MAS purchasing and government purchase orders, military credentialing funding (Army CA, AF COOL, CG COOL), VA GI Bill and VR&E, ATA Flexible Spending, and student financing. Private team cohorts are available if colleagues should attend with me.
Conclusion
This training provides practical, hands-on experience I can apply immediately to strengthen our work in data analytics & databases. Additional course information is available at https://appliedtechnologyacademy.com/intelligenesis-training/intellicademy-python-for-data-science/.
Thank you for your consideration,
[Your Name]
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