Data, AI, and Cloud Courses

Learn to retrieve and parse information from the internet using the Python library scrapy.

In this course youll learn the basics of working with time series data.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

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

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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

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

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

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

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

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

In this course you will learn the basics of machine learning for classification.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

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

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

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

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

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

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

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

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.