Data science courses

Learn how to efficiently collect and download data from any website using R.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn how to write recursive queries and query hierarchical data structures.

Learn how to work with streaming data using serverless technologies on AWS.

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

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Learn to streamline your machine learning workflows with tidymodels.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

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

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

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

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.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

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

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

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

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

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

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Learn efficient techniques in pandas to optimize your Python code.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!