Data Analytics with Excel
This objective of this course is to fully explore the uses of Microsoft Excel as a Data Analytics 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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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 […]
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Statistical Data Analysis With Excel
The objective of this course is to provide students with a strong foundation in fundamental concepts of statistics and analytics that are both theoretical and applied. The course will teach enough statistical theory so that students can become educated consumers of analytical methodology, with an emphasis on application of these techniques to reach sound conclusions […]
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Python for Data Science
This course introduces the Python language to students who want to use Python as a tool for their data science initiatives. The goal is to become proficient enough with the Python language to leverage powerful Data Science packages such as Pandas and matplotlib. This is a comprehensive introduction to Python programming with a focus on […]
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Introduction to Python for Data Analytics
This course introduces the Python language to students who want to use Python as a tool for their data science initiatives. The goal is to become proficient enough with the Python language to leverage powerful Data Science packages such as Pandas and matplotlib. This is a comprehensive introduction to Python programming with a focus on […]
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Introduction to Cloud, AWS and Data Analytics
The purpose of this course is for a student to get a broad familiarity with the relevant concepts of data analytics and data science and how they are applied to a wide range of business problems. It also provides an overview of Enterprise Cloud Computing. It is aimed at a broad audience including technology managers. […]
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Applied Data Analytics and Machine Learning
This course helps students develop a broad familiarity with primary tools and techniques in modern data analytics and machine learning and how they are applied to a wide range of business, scientific and engineering problems. Course duration 3 to 10 Days (see the outline options below)
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Big Data Analytics for Data Engineers
This is an intensive, hands-on introduction to Data Engineering as it relates to Big Data applications. Participants will leverage numerous programming languages to gain hands-on experience with toolsets required in Big Data applications.
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Data Science with 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 […]
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