Invest in Your Employees
Employees are your company’s most important asset. They possess tactical knowledge and expertise, do the work that keeps your business running from one day to the next, and make dozens of decisions every day that have the potential to significantly impact your business.
It is important to invest in your employees so that they can continue performing at their absolute best, and the ability to work with data and extract insights are some of the most valuable skills they can learn. The more of these critical skills they possess, the better they will be able to access and process information, the better decisions they will be able to make, and the better your business will perform.
How We Can Help
We can help equip your employees with the analytical and technical skills they need. Our data science training will enhance your team's abilities, as we teach them how to use the latest tools and technologies to work more efficiently, produce better results, and arrive at better data-driven decisions. Below is a list of the courses we currently have available.
Data Science and Analytics Courses
Data Science for Executives & Managers
Gain a firm understanding of the differences between analytics, data science, big data, machine learning, and artificial intelligence as well as practical examples of how each of these methods can be applied to improve your operations and give your business a competitive advantage.
Building Data Apps with Python
Learn how to structure a data product using every stage of the data science pipeline in this one-day, project-based, hands-on workshop. Gain experience in ingesting data from the web, wrangling data into a structured database, computing a non-negative matrix and more!
Intro to Data Science with Python
Learn about the science of analyzing and extracting insights from data and how to program in one of the best and most popular tools for data manipulation and analysis. Gain experience with Python's syntax, data structures, control flow, and data analysis libraries.
R Statistical Programming
Learn how to load, wrangle, and analyze data with R - a powerful, open source statistical programming language. Gain hands-on experience programming with R in addition to performing data exploration, visualization, and machine learning on real-world data sets.
Data Engineering with Python
Learn how to acquire, ingest and organize data from different sources such as databases, web pages, RSS feeds, and APIs. Gain an understanding of data storage architectures as well as the differences between relational, non-relational, and graph databases.
Statistical Data Analysis
Gain hands-on experience subsetting and summarizing data. Learn how to analyze data using descriptive and inferential statistics, probabilistic and Bayesian methods, linear and logistic regression, and hypothesis testing.
Machine Learning with Python
Get a strategic overview of artificial intelligence and its many valuable applications followed by a deep dive into the different types of machine learning including practical examples of regression, classification, and clustering algorithms.
Visual Analytics With Python
Attain an understanding of how to perform visual exploration using Python tools and techniques. See how visual diagnostics can be used to facilitate machine learning.
Advanced Analysis with Excel
Become a master at Excel! You'll learn how to clean and manipulate raw data, apply analytic techniques to visualize complex data sets and solve optimization problems via linear programming.
Big Data Analytics and Machine Learning
Learn about the opportunities and challenges that come with analyzing very large data sets. Gain a comprehensive overview of the Hadoop ecosystem as well as hands-on experience analyzing data and performing machine learning with MapReduce, Spark, and other big data technologies.
NLP & Text Analytics with python
Learn how to computationally read, preprocess, and analyze text data. Gain hands-on experience with tokenization, part-of-speech tagging, information extraction, topic modeling, text classification, and document clustering.
Network Analysis With Python
Learn how to identify connections between data points and analyze the relationships that those connections represent. Gain hands-on experience computing cardinality, traversing and querying networks, identifying clusters and communities, creating network visualizations, and making predictions on network data.
Any of our Courses can be tailored for your organization.
Completely customized courses also available.
Reviews of our courses
Our instructors possess industry as well as teaching experience and are knowledgeable about all aspects of data science, analytics, machine learning, artificial intelligence, and big data technologies. We have successfully taught hundreds of employees from dozens of organizations how to use modern methods to analyze the data they work with, discover insights, and develop innovative data products. Here are some of the things they have said about our training.
We would be happy to put together a tailored curriculum based on the specific needs of your organization. Pricing for our corporate training services varies based on the subject matter, the number of people attending, and the number of sessions required to cover the material. To get a free customized quote, click the button below.