Data Analytics
Showing 265–276 of 298 results
Statistics: Variance and Standard Deviation
Learn how to calculate, interpret, and report the variance and standard deviation
The Art of PostgreSQL
Explore the features and capabilities of PostgreSQL, focusing on database design, querying, and optimization techniques for effective data management.
The Definitive Guide to MongoDB
A comprehensive guide to MongoDB, covering database design, querying, and best practices for NoSQL database management.
Time Series Analysis with Python
Gain the ability to analyze and visualize time series data using Python.
Train and track machine learning models with MLflow in Microsoft Fabric
In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow.
Transferring Data with ETL
This course covers creating and orchestrating ETL pipelines using the industry’s best practices and tools: Python, SQL, Apache Spark, and Apache Airflow.
Transform data by implementing pivot, unpivot, rollup, and cube
Learn how to transform data using Transact-SQL.
Understand advanced data visualization concepts
Create cohesive, inclusive, and efficient Power BI reports to effectively communicate results.
Understand concepts of data analytics
Explore key concepts of data analytics, including types of analytics, data, and storage. Explore the analytics process and tools used to discover insights.
Understand scalability in Power BI
Scalable data models enable enterprise-scale analytics in Power BI. Implement data modeling best practices, use large dataset storage format, and practice building a star schema to design analytics solutions that can scale.
Understanding Deep Learning Applications in Rare Event Prediction
This course teaches how to build deep learning models using TensorFlow to predict rare probability events.
Use Apache Spark in Microsoft Fabric
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.