Data science courses

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Learn how to segment customers in Python.

In this course youll learn to use and present logistic regression models for making predictions.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

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

Learn how to develop deep learning models with Keras.

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

This course covers everything you need to know to build a basic machine learning monitoring system in Python

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Analyze text data in R using the tidy framework.

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Learn to design and run your own Monte Carlo simulations using Python!

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Master Amazon Redshifts SQL, data management, optimization, and security.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Discover how to use the income statement and balance sheet in Power BI

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Learn to streamline your machine learning workflows with tidymodels.