Technology – Page 188

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Writing Efficient R Code
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Machine Learning with PySpark
Learn how to make predictions with Apache Spark.
Customer Analytics and A/B Testing in Python
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Joining Data with dplyr
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Intermediate Spreadsheets
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Advanced Deep Learning with Keras
Build multiple-input and multiple-output deep learning models using Keras.
Exploratory Data Analysis in Power BI
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
Streamlined Data Ingestion with pandas
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Introduction to Airflow in Python
Learn how to implement and schedule data engineering workflows.
Supervised Learning in R: Classification
In this course you will learn the basics of machine learning for classification.
Data Communication Concepts
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Data Modeling in Power BI
Learn the key concepts of data modeling on Power BI.
Image Processing in Python
Learn to process, transform, and manipulate images at your will.
Working with Data in the Tidyverse
Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.
Improving Query Performance in SQL Server
In this course, students will learn to write queries that are both efficient and easy to read and understand.