Hadoop Programming
This training course introduces the students to Apache Hadoop and key Hadoop ecosystem projects: Pig, Hive, Sqoop, and Spark. This training course is supplemented by a variety of hands-on labs that help attendees reinforce their theoretical knowledge of the learned material and gain practical experience of working with Apache Hadoop and related Apache projects.
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Machine Learning & Data Science with Python
In recent years industry, not just academia, has found that creating powerful data models provides the next level of value past traditional business intelligence. This course focuses on state of the art machine learning techniques combined with a practical approach designed to teach you to process your data and build models using Python’s scikit-learn. In […]
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R Programming for Data Science
Students will gain a strong foundation in applied data analytics and programming methodology. Data scientists are in demand and companies are struggling to find the perfect combination of applicants skilled in programming, math and statistics, and data modeling and wrangling. This course focuses on gaining the programming skills in R to explore data, clean and […]
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Data Visualization with Matplotlib & Seaborn
Matplotlib is a data visualization library for Python. As part of the SciPy data analysis library it is widely used to create data graphics. However, Matplotlib is older than the pandas library, the most common Python library for data frame manipulation. The Matplotlib library requires some extra steps when plotting data from pandas data frames […]
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Data Analysis with Python, SQL and Excel
This course takes a practical approach to understanding key methods for Data Analytics by using common tools: SQL, Excel, and Python. Participants will perform common analytics activities: Interacting with a SQL database; writing an ETL script; outputting to Excel; use Excel and Tableau for data visualization.
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Data Visualization with Tableau
This course introduces Tableau with an emphasis on creating powerful visualizations with your data. We will connect to data sources and perform basic filtering before displaying the data. The class is a mixture of lecture and hands-on labs. Topics covered include: Tableau Overview Connecting to data sources Data Visualization Plotting Bar charts, pie charts Heat […]
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SQL for Data Analytics
This course provides you with an overview of Structured Query Language (SQL) so that you can quickly begin working with and analyzing data with other data science tools. Before you can analyze data, you need to have the correct data. Many organizations store their data in structured databases and SQL is the language of choice to […]
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AWS & Cloud IT Foundations
This course introduces students to the Cloud Computing value proposition; Cloud Computing solution models, and core Amazon Web Services (AWS) services and foundational technologies. Course attendees are provided with insights that will enable them to intelligently translate their organization’s business requirements into Cloud and AWS-based IT solutions. Topics covered include: Articulate the Cloud Computing Business […]
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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 […]
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