Introduction to Python for Data Science Course IntroductionLearn Python fundamentals and data analysis by writing programs, working with data structures, exploring datasets, creating visualizations, and applying analytical techniques to real-world data.Data Types and OperatorsFamiliarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.Data Structures in PythonUse data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.Control FlowBuild logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.FunctionsLearn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.Introduction to Python Packages for Data ScienceLeverage Python libraries and packages to solve data analysis problems efficiently, install and manage tools with pip, and use community-built resources to accelerate insight generation.Loading and Exploring Data with Python PackagesExplore datasets with Pandas and Polars by loading data into DataFrames, inspecting structure and quality, generating summaries, and comparing tools to support effective analysis workflows.Computation and Statistics with Python PackagesAnalyze and summarize data with Pandas using filtering, aggregation, grouping, and pivot tables to uncover patterns, compare categories, and generate actionable insights.Data Visualization with Python PackagesVisualize and communicate data insights with charts that reveal distributions, trends, correlations, and outliers while selecting effective techniques for exploration and storytelling.Course ReviewReview key Python, data analysis, and visualization skills while reinforcing workflows for exploring data and communicating insights effectively.Are We Alone in Space? Analyzing NASA’s Exoplanet Data with PythonIn this project, you’ll explore NASA’s exoplanet data using Python to load, visualize, and analyze real scientific data while practicing responsible exploratory data analysis.CompanyAbout UsWhy Udacity?BlogIn the NewsJobs at UdacityBecome a MentorPartner with UdacityResourcesCatalogCareer OutcomesHelp and FAQScholarshipsResource CenterFeatured ProgramsBusiness AnalyticsSQLAWS Cloud ArchitectData AnalystIntro to ProgrammingDigital MarketingSelf Driving Car EngineerOnly at UdacityArtificial IntelligenceDeep LearningDigital MarketingFlying Car and Autonomous Flight EngineerIntro to Self-Driving CarsMachine Learning EngineerRobotics Software EngineerAI Master’sMaster of Business AdministrationMaster of Science in AIUdacity SchoolsSchool of Animation and Game DevelopmentSchool of Artificial IntelligenceSchool of Autonomous SystemsSchool of BusinessCareer ResourcesSchool of Cloud ComputingSchool of CybersecuritySchool of Data ScienceSchool of DevOpsSchool of Executive LeadershipSchool of Product ManagementSchool of Programming and Development