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 […]
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
Hadoop With Spark
Hadoop is a mature Big Data environment and Hive is the de-facto standard for the SQL interface. Today, the computations in Hadoop are usually done with Spark. Spark offers an optimized compute engine that includes batch, and real-time streaming, and machine learning. This course covers Hadoop 3, Hive 3, and Spark 3.
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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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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 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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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 […]
Big Data Analytics