# Python for Data Science Bootcamp (Self-Paced) Canonical URL: ## Overview Our bootcamp takes you from the fundamentals of Python programming all the way to the basics of machine learning with Python. You’ll learn how and why Python is a leading tool for data science, how to write programs, work with and manipulate data, create data visualizations, and apply statistics to build machine learning models. #### Python Fundamentals We’ll begin with core Python concepts, including writing basic statements and expressions, creating variables, understanding data types, working with lists, and using indexing and slicing. You’ll also learn to apply functions and methods, and gain an introduction to object-oriented programming. Once your development environment is set up, you’ll work with strings, lists, dictionaries, and tuples—understanding the unique purpose of each and when to use them. #### Structuring Programs Next, you’ll explore conditional statements and control flow tools such as if/else statements, boolean operations, and various types of loops. These form the logical backbone of your programs. You’ll practice creating functions, iterating through data with for loops, working with dictionaries, and managing packages in Python. #### Arrays & DataFrames You’ll then move into the essential tools for data science, learning to import and clean data with NumPy and Pandas. You’ll gain experience working with Pandas DataFrames, wrangling datasets, and generating descriptive statistics. #### Analyzing & Visualizing Data Learn to analyze and visualize data with Pandas, NumPy, and Matplotlib. You’ll filter, clean, group, and pivot data to uncover insights through exploratory data analysis, then create visualizations such as bar charts, histograms, and more advanced graphics for clear and effective communication of your findings. #### Next Steps After mastering Python programming and data analysis fundamentals, you’ll be ready to move into machine learning. Building on your skills from the Python for Data Science Bootcamp, you’ll advance to topics like logistic regression, k-nearest neighbors, and decision trees, positioning you to become a full-fledged machine learning data scientist. ## What you'll learn - Foundational programming concepts, including loops, functions, and objects - Handle different types of data such as integers, floats, and strings - Control the flow of your programs with conditional statements - Reuse and simplify code with object-oriented programming - Analyze tabular data with NumPy and Pandas - Create graphs and visualizations with Matplotlib - Make predictions with linear regression, using scikit-learn ## 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 ### Bruce Gay — Instructor Bruce is an engaging trainers and program manager who brings 25+ years practical experience to deliver effective and experiential training to students. Able to engage adult learners with a range of backgrounds and professional experiences. Successful at building effective stakeholder relationships and coordinating multi-disciplinary teams for solution delivery. Bruce has over 25 years of project and program management experience across multiple industries. He has a Masters degree from The George Washington University and a B.A. from the University of North Carolina Chapel Hill. Bruce currently runs his own freelance training and consulting business, helping project managers and team leaders improve their business skills, become better leaders, and achieve professional greatness. Bruce is a well-received speaker in the areas of design thinking, project management, cross-team collaboration, and AI tools for projects, and has presented at regional and international conferences. ### Steve Pesklo — Instructor Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance. Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years. Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM). ### Joe Mlakar — Instructor Joe has over 27 years of Federal Government and military service and has been a part-time instructor with Graduate School USA since 2023. He enjoys using his technical knowledge in Operations Research to teach his students to provide organization and structure to complex processes, and apply advanced analytical techniques to help leaders make better decisions. Joe is based in Fort Collins, Colorado. ## Pricing **Tuition:** $1495