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.
Big Data Analytics
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 […]
Big Data Analytics
Advanced Topics in Artificial Intelligence and Machine Learning
Building from the learning obtained in prior courses in AI/ML, this course will review advanced tools, methods and trends in AI/ML. The course is a mix of lecture, demonstration and hands-on exercises. The course typically features guest lecturers from research, academia and industry. Advanced computational models, open source projects and cloud services will be considered. […]
Big Data Analytics
Artificial Intelligence for Managers
Artificial Intelligence is everywhere and today’s business managers need to understand and embrace it. AI can help businesses reengineer their processes for higher revenue, higher customer satisfaction and lower cost. This course teaches the fundamentals of artificial intelligence and how machine learning is a crucial component of the AI infrastructure. Participants will learn how machine […]
Big Data Analytics
Big Data and Data Analytics for Managers and Business Users
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, scientific and engineering problems. The course will also explore the unique challenges of doing data analytics at very large scales, […]
Big Data Analytics
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.
Big Data Analytics
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 […]
Big Data Analytics
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 […]
Big Data Analytics
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 […]
Big Data Analytics