Data Analytics
Showing 505–516 of 722 results
Mastering Apache Kafka
Learn Apache Kafka in a practical/hands-on manner.
Mastering Big Data with Apache Spark and Java
Explore big data processing techniques using Apache Spark and Java, focusing on data analysis, manipulation, and real-time data processing.
Mastering Cosmos DB through Basic and Advanced Concepts with C#
Gain expertise in Cosmos DB using C#, focusing on both basic and advanced concepts for effective data management in cloud applications.
Mastering Data Analysis with Python Pandas
Gain expertise in data analysis using Python's Pandas library, focusing on data manipulation, visualization, and practical applications.
Mastering Plotly and Dash Data Visualization with Python
This course provides a comprehensive beginner through to advanced learning pathway to gain skills in data visualization with both Plotly and Dash in Python.
Mastering PostgreSQL Databases: From Basics to Advanced
This course is designed for beginners with little or no knowledge of databases or SQL. It will provide them with a solid foundation to start using PostgreSQL.
Matplotlib for Python: Visually Represent Data with Plots
Master data visualization using Matplotlib in Python, focusing on creating informative and visually appealing plots and charts.
Measuring Analytics Maturity: What We Know 5 Years In
Measuring Analytics Maturity: What We Know 5 Years In featuring Kathy Koontz at the 2019 Women in Analytics Conference.
Medical Appointment Data Analysis
Analyze medical appointment data to uncover trends and insights. Learn how to handle and visualize healthcare data to improve patient scheduling, optimize operations, and predict trends that can streamline healthcare services.
Medical Image Analysis in Python
Learn techniques for analyzing medical images using Python, focusing on deep learning and computer vision applications for healthcare.
Merging Data from Different Sources in Python
Unlock the power of pandas and master data merging in Python! Discover join types, merge key specs, and advanced techniques to solve real-world problems.
Merging Data Sources with R 3
Learn how to merge data with R. How do you merge values into vectors? How do you merge vectors into data frames? How do you join data frames? See how to use base R and dplyr to do left, right, and full outer joins with plenty of examples.