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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Learn how to visualize time series in R, then practice with a stock-picking case study.
Learn how to develop deep learning models with Keras.
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
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.
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
In this course youll learn how to perform inference using linear models.
Learn how to use Python to analyze customer churn and build a model to predict it.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Learn how to design and implement triggers in SQL Server using real-world examples.
Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn how to set up and manage your Microsoft Fabric infrastructure.
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn how to produce interactive web maps with ease using leaflet.
Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.