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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Learn how to detect fraud using Python.
Learn how to work with streaming data using serverless technologies on AWS.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
In this course youll learn to use and present logistic regression models for making predictions.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.
Learn key financial concepts such as capital investment, WACC, and shareholder value.
Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Analyze text data in R using the tidy framework.