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.
Data Science
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 […]
Data Science
Python for Data Science
41.7% of Developers Use Python 73.1% of Developers Love Using Python Fastest Growing Language Today! 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 […]
Data Science
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 […]
Data Science
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.
Data Science
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 […]
Data Science
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 […]
Data Science
Data Science Overview
This course provides an in-depth overview of the choices you have in processing Big Data. It introduces Data Science, 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 […]
Data Science
Introduction to Machine Learning
This course introduces participants to both supervised and unsupervised learning algorithms with discussion of what datasets lend themselves to solutions with the various ML techniques. Hands-on labs are designed to assist the learner in understanding the concepts and are all done using Jupyter Notebooks. Where necessary, background material in Linear Algebra, Probability, and Python will […]
Data Science