Bond Valuation and Analysis in Python
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
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.
Explore HR data analysis in Tableau with this case study.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
In this course you'll learn how to use data science for several common marketing tasks.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn to solve real-world optimization problems using Python's SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.
Learn to analyze, plot, and model multivariate data.
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn to easily summarize and manipulate lists using the purrr package.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn to create animated graphics and linked views entirely in R with plotly.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Learn to process sensitive information with privacy-preserving techniques.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Learn how to tune your model's hyperparameters to get the best predictive results.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Discover how the Pinecone vector database is revolutionizing AI application development!
In this course you'll learn how to apply machine learning in the HR domain.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.