Importing and Managing Financial Data in R
Learn how to access financial data from local files as well as from internet sources.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to access financial data from local files as well as from internet sources.
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.
Learn to use the Census API to work with demographic and socioeconomic data.
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
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.
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
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!
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
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.
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Learn how to work with streaming data using serverless technologies on AWS.
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.