Taught by renowned, expert instructors
LIVE TRAINING: FEBRUARY 8TH, 2023
The Association of Fraud Examiners (ACFE) consistently estimates that organizations lose approximately 5% of their revenues due to fraud. Based on world GDP estimates, this would be anywhere from $3-4 trillion annually. Fraud is one of the most interesting problems to try and solve because the people in your data are not trying to be found. Data science techniques are now at the forefront of this industry to help fight the battle against criminals. This course outlines the typical fraud framework at an organization and where data science can play a role. It will also lay out how to build an analytically advanced fraud system at an organization. Moving beyond just simple rules and anomaly detection, these supervised and unsupervised approaches to fraud modeling will help an organization combat the every present problem of fraud. These fraud modeling approaches can also be used in other industries to help organizations find unique customers or problems that might exist in their current systems.
LIVE TRAINING: MARCH 2ND, 2022
Data is the essential building block of Data Science, Machine Learning, and AI. This course is the first in the series and is designed to teach you the foundational skills and knowledge required to understand, work with, and analyze data. It covers topics such as data collection, organization, profiling, and transformation as well as basic analysis. This course is aimed at helping people begin their AI journey and gain valuable insights that we will build up in subsequent SQL, programming, and AI courses.
LIVE TRAINING: MARCH 8TH
LLMs are based on neural networks, which are a type of artificial intelligence (AI) that can learn from data. Specifically, LLMs are based on the Transformer architecture, which uses sequences of data in order to make predictions. This makes them well-suited to tasks such as natural language processing, where the input is often a sequence of words.
This is a course on LLMs that can help you learn more about this powerful technology. The course covers topics such as the fundamentals of neural networks and recurrent neural networks, the different types of LLMs and their applications, and the best practices for building and deploying LLMs.
Moving beyond just simple rules and anomaly detection, these supervised and unsupervised approaches to fraud modeling will help an organization combat the every present problem of fraud. These fraud modeling approaches can also be used in other industries to help organizations find unique customers or problems that might exist in their current systems.
LIVE TRAINING: MARCH 14TH, 2023
This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI. The course covers topics such as database design and normalization, data wrangling, aggregate functions, subqueries, and join operations, and students will learn how to design and write SQL code to solve real-world problems. Upon completion, students will have a strong foundation in SQL and be able to use it effectively to extract insights from data.
The ability to effectively access, retrieve, and manipulate data using SQL is essential for data cleaning, pre-processing, and exploration, which are crucial steps in any data science or machine learning project. Additionally, SQL is widely used in industry, making it a valuable skill for professionals in the field. This course builds upon the earlier data course in the series.
LIVE TRAINING: APRIL 6TH, 2023
More details coming soon…
LIVE TRAINING: MARCH 2ND, 2022
This AI literacy course is designed to introduce participants to the basics of artificial intelligence (AI) and machine learning. We will first explore the various types of AI and then progress to understand fundamental concepts such as algorithms, features, and models. We will study the machine learning workflow and how it is used to design, build, and deploy models that can learn from data to make predictions. This will cover model training and types of machine learning including supervised, and unsupervised learning, as well as some of the most common models such as regression and k-means clustering.
Upon completion, individuals will have a foundational understanding of machine learning and its capabilities and be well-positioned to take advantage of introductory-level hands-on training in machine learning and data science such as ODSC East’s Mini-Bootcamp.
TOP RATED ON-DEMAND BOOTCAMP
AVAILABLE ON-DEMAND
This 6-weeks Bootcampis an introduction to deep neural networks that brings high-level theory to life with working, interactive examples featuring TensorFlow 2, Keras, and PyTorch — all three of the principal Python libraries for deep learning. Essential theory will be covered in a manner that provides students with a complete intuitive understanding of deep learning’s underlying foundations.
Paired with hands-on code demos in Jupyter notebooks as well as strategic advice for overcoming common pitfalls, this foundational knowledge will empower individuals with no previous understanding of artificial neural networks to build production-ready deep learning applications across all of the contemporary families
Certificates & Bootcamps
Live training student experience
Time Series Forecasting with Python
All clear and well explained by our very knowledgable instructor, Marta. This was all extremely applicable to my job. Wish this was a full day instead as Marta had a lot of amazing content. Thanks to the instructor and organizers.
Hands-On Intro to Unsupervised Learning
I had a bit of previous experience with some of the techniques and was looking for more in-depth. Got all I wanted. Ankur has a great presentation style and excellent examples. I particularly appreciated Ankur’s answers to my numerous questions. Those answers alone were worth the price because they provided insight into real-world applications of these models. I also liked the use of live demo in the TensorFlow projector to visualize the results of every algorithm. Will adopt it right away.
NLP Fundamentals in Python
Matt took us through difficult terrain with ease, making sure everybody was on the same page throughout. Really great teaching! Incredibly useful!
Advanced Fraud Modeling
Aric is a great teacher and the entire class was structured very well. I learned a lot of new interesting techniques. A mix of lecture and live coding with real-time incorporation of student feedback and questions into the class. Best for intermediate to advanced data folks because it assumes you know some Python. I would highly recommend if you have an interest to learn fraud.
Practical Advanced Pandas
I like the hands-on approach to teaching the additional techniques of Pandas, and I greatly appreciate the availability of the course’s code for me to review later.
