Practicing Coding Interview Questions in Python
Prepare for your next coding interviews in Python.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Prepare for your next coding interviews in Python.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Analyze text data in R using the tidy framework.
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
Learn how to design Power BI visualizations and reports with users in mind.
Learn about ARIMA models in Python and become an expert in time series analysis.
Create interactive data visualizations in Python using Plotly.
This course will show you how to integrate spatial data into your Python Data Science workflow.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.
In this course, youll learn the basics of relational databases and how to interact with them.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Using Python and NumPy, learn the most fundamental financial concepts.
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
Learn the fundamentals of data visualization using Google Sheets.
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!