Writing Functions in Python
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
4 hoursProgrammingShayne Mielcourses
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424 results
Intermediate SQL Queries
Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.
4 hoursProgrammingNick Carchedicourses
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
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 hoursAI & Machine LearningKatharine Jarmulcourses
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
Introduction to SQL Server
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
4 hoursProgrammingDataCamp Content Creatorcourses
Data-Driven Decision Making in SQL
Learn how to analyze a SQL table and report insights to management.
4 hoursCase StudiesBart Baesenscourses
Web Scraping in Python
Learn to retrieve and parse information from the internet using the Python library scrapy.
4 hoursImporting & Cleaning DataThomas Laetschcourses
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 hoursAI & Machine LearningElie Kawerkcourses
Intermediate Data Visualization with Seaborn
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
4 hoursData VisualizationChris Moffittcourses
Introduction to Data Literacy
Data is all around us, which makes data literacy an essential life skill.
2 hoursData VisualizationCarl Rosseelcourses
Working with Categorical Data in Python
Learn how to manipulate and visualize categorical data using pandas and seaborn.
4 hoursData ManipulationKasey Jonescourses
Introduction to Docker
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
4 hoursProgrammingTim Sangstercourses
Introduction to Statistics in Spreadsheets
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
4 hoursProbability & StatisticsTed Kwartlercourses
SQL for Joining Data
Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.
5 hoursData ManipulationDr. Chester Ismaycourses
Data Analysis in Spreadsheets
Learn to use spreadsheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
3 hoursData ManipulationJames Chapmancourses
Introduction to Regression in R
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
4 hoursProbability & StatisticsRichie Cottoncourses
Joining Data with dplyr
Learn to combine data across multiple tables to answer more complex questions with dplyr.
4 hoursData ManipulationDataCamp Content Creatorcourses
Introduction to Importing Data in R
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
3 hoursImporting & Cleaning DataFilip Schouwenaarscourses
Introduction to Shell
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
4 hoursProgrammingDataCamp Content Creatorcourses
Exploratory Data Analysis in R
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
4 hoursProbability & StatisticsAndrew Braycourses
Working with Dates and Times in Python
Learn how to work with dates and times in Python.
4 hoursProgrammingDataCamp Content Creatorcourses
Data Transformation in Power BI
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
3 hoursData ManipulationMaarten Van den Broeckcourses
Introduction to TensorFlow in Python
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
4 hoursAI & Machine LearningIsaiah Hullcourses
Pivot Tables in 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 hoursData ManipulationFrank Sumanskicourses
Introduction to Python for Finance
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
4 hoursApplied FinanceAdina Howecourses
DAX Functions in Power BI
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
3 hoursData ManipulationMaarten Van den Broeckcourses
Statistical Thinking in Python (Part 1)
Build the foundation you need to think statistically and to speak the language of your data.
3 hoursProbability & StatisticsJustin Boiscourses
Communicating Data Insights
Data-driven organizations consistently rely on insights to inspire action and drive change.
2 hoursData VisualizationJoe Franklincourses
Introduction to NumPy
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
4 hoursData ManipulationIzzy Webercourses