Data science courses

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

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

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

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

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

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

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

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

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

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

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

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

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

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

Transform almost any dataset into a tidy format to make analysis easier.

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

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

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

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

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

Build the foundation you need to think statistically and to speak the language of your data.

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

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

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.

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

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

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

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