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Al continuar, aceptas nuestros Términos de uso, nuestra Política de privacidad y que tus datos se almacenan en los EE. UU.This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Discover how to use the income statement and balance sheet in Power BI
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
Learn how to produce interactive web maps with ease using leaflet.
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.
Learn key financial concepts such as capital investment, WACC, and shareholder value.
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
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 how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
In this course youll learn how to perform inference using linear models.
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
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 develop deep learning models with Keras.
Learn how to design and implement triggers in SQL Server using real-world examples.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Learn how to use Python to analyze customer churn and build a model to predict it.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.