Advanced Data Analytics with PySpark
This class introduces participants to the Apache Spark platform, the Spark Shell and Spark SQL for big data processing applications. In addition to the Spark platform, participants will learn fundamental tools in the pandas library and gain experience with data visualization using seaborn.
Big Data Analytics
Apache Spark
Success of many organizations depends on their ability to derive business insights from massive amount of raw data coming from various sources. Apache Spark offers many engineering improvements over the traditional MapReduce programming model as implemented in Hadoop by providing multi-pass in-memory processing of data which boosts the overall performance of your ETL and machine-learning […]
Big Data Analytics
Applied Data Science with Python
This course provides theoretical and practical aspects of using Python applied to Data Science, Business Analytics, and Data Logistics. Emphasis is on a survey of core concepts, terminology, and theory. This course is supplemented by a variety of hands-on labs that help participants reinforce their theoretical knowledge of the learned material.
Big Data Analytics
AWS – Practical Data Science with Amazon SageMaker
In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also […]
Big Data Analytics
Big Data Overview
This course provides an in-depth overview of the choices you have in processing Big Data. It introduces Big Data, the types of data you might have, approaches to working on and processing the data, and the capabilities, strengths, and weaknesses of those approaches. Topics covered include: NewSQL Databases NoSQL Overview Hadoop and MapReduce Apache Pig […]
Big Data Analytics
Data Analysis with Excel
The objective of this course is to fully explore the uses of Microsoft Excel as a data analysis tool. Most business professionals are familiar with the core functionality of Excel. This course explores some of the additional capabilities and advanced features of Excel for analyzing, manipulating and visualizing data.
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Data Engineering with PySpark
Data Engineering has become an important role in the Data Science space. For Data Analysts to do productive work, they need to have consistent datasets to analyze. A Data Engineer provides this consistency for analysts by accessing data in a variety of formats, using a variety of tools. This class will introduce programmers to tools […]
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Data Science and Data Engineering for Architects
This course covers the theoretical and practical aspects of applying the principles and methods of Data Science and Data Engineering. Students are introduced to the relevant concepts, terminology, theory, and tools used in the field. This training course is complemented by a variety of hands-on exercises to help the attendees reinforce their theoretical knowledge of […]
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Data Visualization with Excel and Power BI
Data Visualization is the graphical representation of large datasets using graphs and charts such as bar charts, line graphs, scatterplots, etc. Learn how to elegantly present datasets that allow your audience to quickly digest, understand, and derive insights or see trends from the data. This course provides students with hands-on experience creating effective and appealing […]
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Data Visualization with Power BI
Data Visualization is the graphical representation of large datasets using graphs and charts such as bar charts, line graphs, scatterplots, etc. Learn how to elegantly present datasets that allow your audience to quickly digest, understand, and derive insights or see trends from the data. This course teaches students how to navigate the Microsoft Power BI […]
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Data Visualization with Tableau
Data Visualization is the graphical representation of large datasets using graphs and charts such as bar charts, line graphs, scatterplots, etc. Learn how to elegantly present datasets that allow your audience to quickly digest, understand, and derive insights or see trends from the data. This course teaches students how to work with Tableau to create […]
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Data Warehousing on Amazon Web Services (AWS)
Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis […]
Big Data Analytics