# Python for Data Science Course Online

Canonical URL: <https://vdci.edu/courses/python-for-data-science-course-online>

## Overview

This course focuses on building practical data science skills with Python, starting from the basics and gradually moving into real analytical workflows. You’ll learn how Python is used to work with data, make predictions, and solve common analysis problems, while getting comfortable with key libraries like Pandas, NumPy, and Matplotlib. The course is self-paced, but keeps things hands-on, using real examples and projects, so you’re not just reading about concepts, you’re actively applying them as you go.

You’ll begin with core Python fundamentals such as variables, data types, lists, functions, and control flow, then move into working with real datasets. As the course progresses, you’ll clean and organize data, perform analysis with Pandas and NumPy, and explore patterns through charts and visualizations. You’ll also get an introduction to machine learning concepts and how they fit into Python-based analysis. By the end, you’ll have a solid understanding of how Python is used in data science and the confidence to work with data in practical, real-world situations.

## Curriculum

### Python Fundamentals

#### Data Types & Variables

- Statements & Expressions
- Variables
- Integers & Floats
- Strings

#### Data Structures & Attributes

- Functions & Methods
- Lists
- Indexing & Slicing
- Booleans

### Structuring Programs

#### Complex Data Structures & Control Flow

- Dictionaries
- Conditional Statements
- For Loops
- Creating Functions

#### Packages & Object Oriented Programming

- Classes & Objects
- Modules & Imports
- Packages & Documentation

### Arrays & Dataframes

#### Numpy

- Arrays
- Universal Functions
- Boolean Indexing

#### Pandas

- Pandas Dataframes
- Pandas Series & dtypes
- Column Manipulation
- Descriptive Statistics

### Analyzing & Visualizing Data

#### Data Analysis

- Filtering & Cleaning Data
- Groupby Operations
- Pivot Tables

#### Data Visualization

- Plotting with Matplotlib
- Bar Charts
- Scatter Plots
- Histograms
- Customizing Visualizations

## Instructors

### Garfield Stinvil — Instructor

Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently.

Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès. 

Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills.

### Colin Jaffe — Instructor

Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks.

Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit.

Colin lives in Brooklyn with his wife, two kids, and many intricate board games.

### Brian McClain — Instructor

Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. He taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.

Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provide appraisals of art and antiques from user-uploaded images.

## FAQ

### Are there any additional fees or expenses?

There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.

## Pricing

**Tuition:** $1495