612 results

Case Study: Analyzing Customer Churn in Tableau

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

3 hours Data Visualization Carl Rosseel Course

Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours Other Jay Rosok Course

Case Study: Analyzing Customer Churn in Excel

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

3 hours Reporting Jess Ahmet Course

Data Analysis in Google Sheets

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

3 hours Data Manipulation James Chapman Course

Streamlined Data Ingestion with pandas

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hours Data Preparation Amany Mahfouz Course

Hypothesis Testing in R

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hours Probability & Statistics Richie Cotton Course

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

4 hours Machine Learning Kasey Jones Course

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

4 hours Machine Learning Joshua Stapleton Course

Marketing Analytics for Business

Discover how Marketing Analysts use data to understand customers and drive business growth.

2 hours Leadership Sarah DeAtley Course

Intermediate Data Visualization with Seaborn

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours Data Visualization Chris Moffitt Course

Intermediate SQL Server

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

4 hours Programming Ginger Grant Course

Image Processing in Python

Learn to process, transform, and manipulate images at your will.

4 hours Machine Learning Rebeca Gonzalez Course

Practicing Coding Interview Questions in Python

Prepare for your next coding interviews in Python.

4 hours Programming Kirill Smirnov Course

Data-Driven Decision Making for Business

Discover how to make better business decisions by applying practical data frameworks—no coding required.

2 hours Data Literacy Ted Kwartler Course

Dimensionality Reduction in Python

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hours Machine Learning Jeroen Boeye Course

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hours Data Visualization Rick Scavetta Course

Connecting Data in Tableau

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

3 hours Data Preparation Sara Billen Course

Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours Programming Richie Cotton Course

Cleaning Data with PySpark

Learn how to clean data with Apache Spark in Python.

4 hours Data Preparation Mike Metzger Course

Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

4 hours Machine Learning Robert O'Callaghan Course

Analyzing Business Data in SQL

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

4 hours Reporting Michel Semaan Course

Introduction to Data Quality

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

2 hours Data Management Chrissy Bloom Course

Intermediate Python for Finance

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

4 hours Applied Finance Kennedy Behrman Course

Data Visualization in Tableau

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

6 hours Data Visualization Maarten Van den Broeck Course

Reshaping Data with tidyr

Transform almost any dataset into a tidy format to make analysis easier.

4 hours Data Manipulation Jeroen Boeye Course

Building Web Applications with Shiny in R

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

4 hours Programming kaelen medeiros Course

Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours Machine Learning Sergey Fogelson Course

Bayesian Data Analysis in Python

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

4 hours Probability & Statistics Michał Oleszak Course

Forming Analytical Questions

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

3 hours Data Literacy Konstantinos Kattidis Course

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours Machine Learning Hank Roark Course

Hyperparameter Tuning in Python

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

4 hours Machine Learning Alex Scriven Course

Financial Analysis in Power BI

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

6 hours Data Visualization Nick Edwards 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

Sampling in R

Master sampling to get more accurate statistics with less data.

4 hours Probability & Statistics Richie Cotton Course

Feature Engineering with PySpark

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

4 hours Data Manipulation John Hogue Course

Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hours Programming Colin Gillespie Course

Reporting in SQL

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

4 hours Reporting Tyler Pernes Course

Reporting with R Markdown

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

4 hours Reporting Amy Peterson Course

Introduction to Bash Scripting

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

4 hours Programming Alex Scriven Course

Artificial Intelligence (AI) Strategy

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

3 hours Artificial Intelligence Vidhi Chugh Course

Manipulating Time Series Data in R

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

4 hours Data Manipulation Harrison Brown Course

Introduction to Testing in Python

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

4 hours Programming Alexander Levin 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

Intermediate Power Query in Excel

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

3 hours Data Preparation Lyndsay Girard Course

Azure Management and Governance

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

2 hours Data Management Anneleen Rummens Course

ARIMA Models in Python

Learn about ARIMA models in Python and become an expert in time series analysis.

4 hours Machine Learning James Fulton Course

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hours Probability & Statistics Richard Erickson Course

Foundations of Inference in R

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hours Probability & Statistics Jo Hardin Course

Dealing with Missing Data in Python

Learn how to identify, analyze, remove and impute missing data in Python.

4 hours Data Manipulation Suraj Donthi Course

Introduction to R for Finance

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hours Applied Finance Lore Dirick Course
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