250 results

Introduction to Python

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

4 hours Programming Filip Schouwenaars Course

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

4 hours Programming Jonathan Cornelissen Course

Intro to SQL for Data Science

Master the basics of querying tables in relational databases such as MySQL, Oracle, SQL Server, and PostgreSQL.

4 hours Data Manipulation Nick Carchedi Course

Intermediate Python for Data Science

Level up your data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas.

4 hours Programming Filip Schouwenaars Course

pandas Foundations

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

4 hours Data Manipulation Team Anaconda Course

Intermediate R

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

6 hours Programming Filip Schouwenaars Course

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 hours Programming Hugo Bowne-Anderson Course

Supervised Learning with scikit-learn

Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.

4 hours Machine Learning Hugo Bowne-Anderson Course

Joining Data in SQL

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

5 hours Data Manipulation Chester Ismay Course

Deep Learning in Python

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

4 hours Machine Learning Dan Becker Course

Writing Efficient Python Code

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

4 hours Programming Logan Thomas Course

Importing Data in Python (Part 1)

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

3 hours Importing & Cleaning Data Hugo Bowne-Anderson Course

Intermediate SQL

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

4 hours Data Manipulation Mona Khalil Course

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours Programming David Robinson Course

Software Engineering for Data Scientists in Python

Learn all about modularity, documentation, & automated testing to help you solve Data Science problems quicker and more reliably.

4 hours Programming Adam Spannbauer Course

Python Data Science Toolbox (Part 2)

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

4 hours Programming Hugo Bowne-Anderson Course

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

4 hours Importing & Cleaning Data Daniel Chen Course

Introduction to Data Visualization with Python

Learn more complex data visualization techniques using Matplotlib and Seaborn.

4 hours Data Visualization Team Anaconda Course

Data Visualization with ggplot2 (Part 1)

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

5 hours Data Visualization Rick Scavetta Course

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it for analysis.

4 hours Importing & Cleaning Data Nick Carchedi Course

Importing Data in Python (Part 2)

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

2 hours Importing & Cleaning Data Hugo Bowne-Anderson Course

Manipulating DataFrames with pandas

You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

4 hours Data Manipulation Team Anaconda Course

Importing Data in R (Part 1)

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours Importing & Cleaning Data Filip Schouwenaars Course

Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

3 hours Probability & Statistics Justin Bois Course

Data Manipulation in R with dplyr

Master techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

4 hours Data Manipulation Garrett Grolemund Course

Introduction to Databases in Python

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hours Data Manipulation Jason Myers Course

SQL for Exploratory Data Analysis

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

4 hours Data Manipulation Christina Maimone Course

Advanced NLP with spaCy

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours Data Manipulation Ines Montani Course

Introduction to Data

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Probability & Statistics Mine Cetinkaya-Rundel Course

Natural Language Processing Fundamentals in Python

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hours Machine Learning Katharine Jarmul Course

Unsupervised Learning in Python

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

4 hours Machine Learning Benjamin Wilson Course

Writing Functions in R

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

4 hours Programming Charlotte Wickham Course

Pivot Tables with Spreadsheets

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

4 hours Data Manipulation Frank Sumanski Course

Clustering Methods with SciPy

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours Machine Learning Shaumik Daityari Course

Correlation and Regression

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Probability & Statistics Ben Baumer Course

Spreadsheet Basics

Learn the basics of spreadsheets by working with rows, columns, addresses, and ranges.

2 hours Programming Vincent Vankrunkelsven Course

Introduction to Git for Data Science

This course is an introduction to version control with Git for data scientists.

4 hours Programming Greg Wilson Course

Introduction to PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

4 hours Other Lore Dirick Course

Network Analysis in Python (Part 1)

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Probability & Statistics Eric Ma Course

Merging DataFrames with pandas

This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist's toolbox.

4 hours Data Manipulation Team Anaconda Course

Building Web Applications in R with Shiny

Build interactive web apps straight from R with shiny!

4 hours Reporting Mine Cetinkaya-Rundel Course

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown.

3 hours Reporting Garrett Grolemund Course

Python for Spreadsheet Users

Use your knowledge of common spreadsheet functions and techniques to explore Python!

4 hours Programming Chris Cardillo Course

Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours Machine Learning Alan Nichol Course

Introduction to MongoDB in Python

Learn to manipulate and analyze flexibly structured data with MongoDB.

4 hours Data Manipulation Donny Winston Course

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours Machine Learning Brett Lantz Course

Importing Data in R (Part 2)

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hours Importing & Cleaning Data Filip Schouwenaars Course

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data.

4 hours Programming Hillary Green-Lerman Course

Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours Probability & Statistics Justin Bois Course

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification and clustering.

6 hours Machine Learning Gilles Inghelbrecht Course
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