Data Normalization Courses and Certifications

A great portion of a cyber security analyst’s job is to analyze data. However, data must be structured and normalized prior to analysis otherwise its meaning and context can be lost…and incidents of c

• INE
• 3 hours
• Self-Paced
• Paid Course

Career Certificate

Learn SQL

1964 ratings at Boot.dev

Master SQL fundamentals through hands-on practice building database tables, writing queries, and learning production-ready techniques for efficient data management and manipulation.

• Boot.dev
• 30 hours
• Self-Paced
• Paid Course

Data Science Dojo

Master Skewed Datasets: Practical Techniques for Better Insights and Models

Master practical techniques to handle skewed datasets, from normalization and transformation methods to resampling approaches like SMOTE and stratified sampling, with Python implementations for better models and insights.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Introduction to Data Modeling in Snowflake

Step right into the dynamic world of data modeling with Snowflake!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Presto Foundation

Prestissimo Extension for AI Training Data Normalization at Meta

Discover how Meta extended Prestissimo to optimize AI training data normalization with new Index Join Operator and AI Data Storage Connector for efficient user sequence data exploration.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Data Cleaning and Preprocessing in Machine Learning

Master data preprocessing techniques using the Titanic dataset, covering cleaning, handling missing values, outlier detection, feature engineering, and model training with Python and Pandas for effective machine learning preparation.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Data Cleaning and Preprocessing Techniques

Master essential data preprocessing techniques, from handling missing values and outliers to implementing normalization, encoding, and binning methods using Python and Pandas for effective data preparation and analysis.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Introduction to Data Cleaning and Transformation

Master data cleaning techniques through hands-on practice with filtering, handling missing values, feature engineering, and data transformation using real-world datasets in Python and pandas.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Data Cleaning and Preprocessing with R

Master essential data cleaning techniques in R using tidyr, covering missing values handling, outlier detection, data normalization, and categorical encoding for effective analysis.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Foundations of Feature Engineering

Master the basics of feature engineering: clean data, handle missing values, address outliers, and scale datasets to prepare raw data for transformation and advanced analysis.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Building an Async CLI Tool for ETL Pipelines in Python

Master building a production-ready async CLI ETL tool in Python, integrating dataclasses, pattern matching, and asyncio into a complete portfolio-worthy project.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Handling Multivariate Time Series with RNNs

Master multivariate time series forecasting with RNNs using Air Quality data, covering preprocessing, model building, and evaluation techniques for accurate predictions.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Microsoft Access Level II

Master advanced database management with complex queries, relational design, data validation, and sophisticated reporting techniques to handle intricate datasets efficiently.

• Graduate School USA
• Self-Paced
• $325.00

Introduction to Data Cleaning with Python

1 rating

Discover essential Python techniques for cleaning messy datasets, handling missing values, removing duplicates, detecting outliers, and normalizing data for reliable analysis.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate