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Data science courses

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150 results

Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Clock4 hoursTagData ManipulationUserRichie CottonLearncourses

Supervised Learning with scikit-learn

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

Clock4 hoursTagMachine LearningUserGeorge BoormanLearncourses

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Clock3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Clock4 hoursTagProbability & StatisticsUserMaggie MatsuiLearncourses

Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

Clock4 hoursTagData ManipulationUserAaren StubberfieldLearncourses

Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Clock4 hoursTagExploratory Data AnalysisUserGeorge BoormanLearncourses

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Clock4 hoursTagProgrammingUserHillary Green-LermanLearncourses

Introduction to Importing Data in Python

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Clock3 hoursTagData PreparationUserHugo Bowne-AndersonLearncourses

Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Clock4 hoursTagData PreparationUserAdel NehmeLearncourses

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Clock4 hoursTagProgrammingUserLogan ThomasLearncourses

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Clock4 hoursTagProgrammingUserAlex YaroshLearncourses

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Clock4 hoursTagProgrammingUserShayne MielLearncourses

Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Clock4 hoursTagMachine LearningUserBenjamin WilsonLearncourses

Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Clock4 hoursTagProgrammingUserMiriam AntonaLearncourses

Introduction to NumPy

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Clock4 hoursTagData ManipulationUserIzzy WeberLearncourses

Intermediate Importing Data in Python

Improve your Python data importing skills and learn to work with web and API data.

Clock2 hoursTagData PreparationUserHugo Bowne-AndersonLearncourses

Introduction to Python for Finance

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

Clock4 hoursTagApplied FinanceUserAdina HoweLearncourses

Introduction to Regression with statsmodels in Python

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Clock4 hoursTagProbability & StatisticsUserMaarten Van den BroeckLearncourses

Hypothesis Testing in Python

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Clock4 hoursTagProbability & StatisticsUserJames ChapmanLearncourses

Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Clock4 hoursTagProbability & StatisticsUserJames ChapmanLearncourses

Developing LLM Applications with LangChain

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Clock4 hoursTagArtificial IntelligenceUserJonathan BennionLearncourses

Introduction to Data Engineering

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Clock4 hoursTagData EngineeringUserVincent VankrunkelsvenLearncourses