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.
4 hoursProgrammingHugo Bowne-Andersoncourses
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148 results
Intermediate Python
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
4 hoursProgrammingHugo Bowne-Andersoncourses
Data Manipulation with pandas
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
4 hoursData ManipulationRichie Cottoncourses
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!
4 hoursMachine LearningGeorge Boormancourses
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.
3 hoursProgrammingHugo Bowne-Andersoncourses
Introduction to Statistics in Python
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
4 hoursProbability & StatisticsMaggie Matsuicourses
Joining Data with pandas
Learn to combine data from multiple tables by joining data together using pandas.
4 hoursData ManipulationAaren Stubberfieldcourses
Introduction to Data Visualization with Matplotlib
Learn how to create, customize, and share data visualizations using Matplotlib.
4 hoursData VisualizationAriel Rokemcourses
Python Data Science Toolbox (Part 2)
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
4 hoursProgrammingHugo Bowne-Andersoncourses
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.
3 hoursData PreparationHugo Bowne-Andersoncourses
Exploratory Data Analysis in Python
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
4 hoursExploratory Data AnalysisGeorge Boormancourses
Introduction to Data Visualization with Seaborn
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
4 hoursData VisualizationDataCamp Content Creatorcourses
Preprocessing for Machine Learning in Python
Learn how to clean and prepare your data for machine learning!
4 hoursMachine LearningJames Chapmancourses
Cleaning Data in Python
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
4 hoursData PreparationAdel Nehmecourses
Writing Efficient Python Code
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
4 hoursProgrammingLogan Thomascourses
Linear Classifiers in Python
In this course you will learn the details of linear classifiers like logistic regression and SVM.
4 hoursMachine LearningMike Gelbartcourses
Machine Learning with Tree-Based Models in Python
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
5 hoursMachine LearningElie Kawerkcourses
Unsupervised Learning in Python
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
4 hoursMachine LearningBenjamin Wilsoncourses
Object-Oriented Programming in Python
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
4 hoursProgrammingAlex Yaroshcourses
Introduction to Natural Language Processing in Python
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
4 hoursMachine LearningKatharine Jarmulcourses
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.
4 hoursArtificial IntelligenceDan Beckercourses
Feature Engineering for Machine Learning in Python
Create new features to improve the performance of your Machine Learning models.
4 hoursMachine LearningRobert O'Callaghancourses
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.
4 hoursProgrammingHillary Green-Lermancourses
Writing Functions in Python
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
4 hoursProgrammingShayne Mielcourses
Hypothesis Testing in Python
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
4 hoursProbability & StatisticsJames Chapmancourses
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.
4 hoursProbability & StatisticsJames Chapmancourses
Cluster Analysis in Python
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
4 hoursMachine LearningShaumik Daityaricourses
Intermediate Importing Data in Python
Improve your Python data importing skills and learn to work with web and API data.
2 hoursData PreparationHugo Bowne-Andersoncourses
Intermediate Data Visualization with Seaborn
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
4 hoursData VisualizationChris Moffittcourses
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.
4 hoursProbability & StatisticsMaarten Van den Broeckcourses