Data science courses

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

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

Improve data literacy skills by analyzing remote working policies.

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

This course focuses on feature engineering and machine learning for time series data.

Learn to create your own Python packages to make your code easier to use and share with others.

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

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Leverage the OpenAI API to get your AI applications ready for production.

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn about string manipulation and become a master at using regular expressions.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

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

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

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

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

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

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

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

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

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

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

Prepare for your next coding interviews in Python.

Learn how to clean data with Apache Spark in Python.

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