Data, AI, and Cloud Courses

Discover how the Pinecone vector database is revolutionizing AI application development!

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn how to segment customers in Python.

Learn how to access financial data from local files as well as from internet sources.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Develop the skills you need to clean raw data and transform it into accurate insights.

Learn how to use Python to analyze customer churn and build a model to predict it.

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn how to design and implement triggers in SQL Server using real-world examples.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Learn to streamline your machine learning workflows with tidymodels.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn how to pull character strings apart, put them back together and use the stringr package.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.