Data, AI, and Cloud Courses

Learn how to design Power BI visualizations and reports with users in mind.

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

Master sampling to get more accurate statistics with less data.

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

Get to grips with the foundational components of LangChain agents and build custom chat agents.

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

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

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

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

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

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

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Step right into the dynamic world of data modeling with Snowflake!

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

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