Introduction to Predictive Analytics in Python
In this course youll learn to use and present logistic regression models for making predictions.
Siga vídeos curtos conduzidos por instrutores especializados e pratique o que aprendeu com exercícios interativos em seu navegador.
In this course youll learn to use and present logistic regression models for making predictions.
Visualize seasonality, trends and other patterns in your time series data.
Learn how to detect fraud using Python.
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Explore ways to work with date and time data in SQL Server for time series analysis
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Learn to build recommendation engines in Python using machine learning techniques.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
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.
Aprenda a criar e executar suas próprias simulações de Monte Carlo usando Python!
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
In this course, youll learn the basics of relational databases and how to interact with them.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
Aprenda e use poderosos algoritmos de Aprendizado por Reforço Profundo, incluindo técnicas de otimização.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Conheça os desafios de monitorar modelos de ML em produção, como deriva de dados e conceito, e métodos para resolver.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Learn how to identify, analyze, remove and impute missing data in Python.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.