Data science courses

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

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

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Explore ways to work with date and time data in SQL Server for time series analysis

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

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

Unlock BigQuery's power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Master Amazon Redshift's SQL, data management, optimization, and security.

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

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Build multiple-input and multiple-output deep learning models using Keras.

Visualize seasonality, trends and other patterns in your time series data.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Learn how to detect fraud using Python.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

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

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

Using Python and NumPy, learn the most fundamental financial concepts.

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

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

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

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

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

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

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Learn to build recommendation engines in Python using machine learning techniques.