Introduction to Data Analytics
This course is a survey of processes and tools commonly used in applications that rely heavily on data analysis. The course will describe data pipelines deployed by data engineers and data scientists to ingest data for use in an application and to manipulate that data for use by analysts. Hands-on activities will include a combination […]
Data Science
Introduction to Data Visualization
We are constantly faced with a vast amount of complex information – often more than we can handle. Well-designed visual interpretations of data improve comprehension, communication, and decision making. This workshop introduces data methods and techniques that increase the understanding of complex data. The focus is on conveying ideas effectively with visually appealing charts, graphs and […]
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
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 […]
Data Science
Machine Learning and AI Foundation
Learn to take your solutions to the next level by harnessing the power of data in Machine Learning Foundation, a 3-day instructor-led course tailored for tech professionals. This comprehensive program covers essential topics, including the principles of machine learning, model development and evaluation strategies, as well as techniques for processing and understanding data. Gain hands-on […]
Data Science
Microsoft Power BI Data Analyst
This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Additionally, this course will also discuss […]
Data Science
MLOps Foundation
Prepare to build enterprise-grade machine learning services and infrastructure in MLOps Foundation, a 2-day instructor-led course tailored for data professionals. This comprehensive program covers essential topics, including the principles of MLOps architecture, deployment strategies, and technologies for machine learning processes. Gain hands-on experience with Seldon Core, Kubeflow and Ray. Prerequisites include intermediate programming skills, mathematics […]
Data Science
Planning and Designing Databases on AWS
In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You […]
Data Science
Practical Machine Learning With Apache Spark
This intensive hands-on training introduces the audience to the core aspects of scalable data processing using Python on the Apache Spark platform. The students will learn the essentials of Python with the primary focus being on the capabilities of the Apache Spark platform and its Machine Learning module. The students will be introduced to the […]
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
Python Software Development and Data Analytics
This program is designed to equip students with the knowledge and skills to successfully apply data analytics concepts in various contexts and prepares candidates to obtain two coding industry credentials: Python Institute PCEP™ – Certified Entry-Level Python Programmer and PCED™ – Certified Entry-Level Data Analyst with Python. Through the duration of this course, students will […]
Data Science
R Programming
This course teaches many concepts and capabilities of the R programming language. Some of the topics include importing data, data visualization using ggplot2, built-in R datatypes & structures, and general R syntax. Upon completion of the course students will be able to import, analyze, and summarize large, complex data sets using R.
Data Science