Data science courses

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

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.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

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

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

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.