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151 results
Python

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
Python

Intermediate Python

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

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses
Python

Data Manipulation with pandas

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

Clock4 hoursTagData ManipulationUserRichie CottonLearncourses
Python

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

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
Python

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
Python

Introduction to LLMs in Python

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Clock4 hoursTagArtificial IntelligenceUserIván Palomares CarrascosaLearncourses
Python

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

Joining Data with pandas

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

Clock4 hoursTagData ManipulationUserAaren StubberfieldLearncourses
Python

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
Python

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
Python

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
Python

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
Python

Writing Efficient Python Code

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

Clock4 hoursTagProgrammingUserLogan ThomasLearncourses
Python

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
Python

Intermediate Python for Developers

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Clock2 hoursTagProgrammingUserGeorge BoormanLearncourses
Python

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
Python

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
Python

Introduction to Deep Learning in Python

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Clock4 hoursTagArtificial IntelligenceUserDan BeckerLearncourses
Python

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
Python

Introduction to Data Pipelines

This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.

Clock4 hoursTagData EngineeringUserJake RoachLearncourses
Python

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
Python

Writing Functions in Python

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

Clock4 hoursTagProgrammingUserShayne MielLearncourses
Python

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

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