# Python for Data Science Course Online Canonical URL: ## 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 Community 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 ### Who is the target audience for this course? Individuals looking to break into the field of data science with Python People with minimal coding background who want to move into more data-centric work at their current workplace People who work with data in tools like SPSS, Stata, or MATLAB and would like to transition into using Python and SQL. Developers with experience in other arenas, who would like to work in data science ### 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. ### Is this course open to beginners? Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required. ### Do you offer payment plans or student financing for this course? This course does not qualify for payment plans or student financing. See our Payment Options FAQ to find related programs that qualify. ### How long do I have access to the course materials? This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable. ### What is the cancellation and refund policy for this single course? For this course, you are entitled to a 90% refund (your payment less the nonrefundable 10% registration fee) within 30 days of purchase if you have not accessed the course materials. ### What’s included with my tuition? A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Extensive video training resources to support your learning journey Access to industry-standard software during your training Expert support with answers to your questions from real instructors throughout your learning journey Additional personalized 1-on-1 bonus training with an industry expert to reinforce concepts Top-notch curricula that have been tried and tested over many years and are consistently improved for an optimal learning experience A certificate of completion to verify your accomplishment The confidence of learning at an accredited institution ### 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. ### Do you offer any discounts for this course? Take this course as part of a certificate program and save: Data Analytics Certificate Online Price: $4,995 | Hours: 156 Hours Data Science & AI Certificate Online Price: $3,995 | Hours: 114 Hours Data Analytics & AI Certificate Online Price: $6,995 | Hours: 210 Hours ## Pricing **Tuition:** $1495