Start your journey into the exciting
field of Data Science.
We are excited to introduce our Data Science Development Series. In partnership with the Southern Data Science Conference, we are offering a complimentary six part series that will provide your organization with the knowledge and skill set to leverage core Data Science solutions.
Data Science Development Series
Series Overview
Learn the most
critical components of Data Science.
The goal of this complimentary series is to equip you and your team with the practical knowledge and skills you need in becoming a data-driven organization. Once you’ve completed the series you’ll be ready to start implementing Data Science driven solutions across your most critical business functions.
What your teams will learn from our instructors:
- Machine Learning 101
- Computer Vision 101
- Deep Learning 101
- NLP 101
- Search & Relevancy 101
- Recommendations 101
Data Science Development Series Schedule
Whether your organization is just beginning your journey into Data Science or if you are looking to add to your existing knowledge base, our Data Science Development Series is open to everybody interested in learning.
Machine Learning 101 | May 27th @ 5:30pm ET
Join our host Brian O'Connor and instructor Jingjing Cannon - Data Scientist at Home Depot will teach you what you need to know to get started with Machine Learning. You will leave this session with a practical knowledge of how to apply ML in your problem solving.
- Part I: Machine Learning Basics (20min)
- Part II: Supervised Machine Learning (30min)
- Part III: Unsupervised Machine Learning (10min)
- Part IV: Open Q&A (30min)
Computer Vision 101 | June 3rd @ 5:30pm ET
Join our host Brian O'Connor and instructor Matthew Hagen - Sr. Data Scientist at Home Depot will teach you what you need to know to get started with Computer Vision. You will leave this session with a practical knowledge of how to apply Computer Vision in your problem solving.
- Part I: Traditional Computer Vision (15min)
- Part II: Convolutional Neural Networks (15min)
- Part III: Object Detection (15min)
- Part IV: Object Segmentation (15min)
- Part V: Open Q&A (30min)
Deep Learning 101 | June 10th @ 5:30pm ET
Join our host Brian O'Connor and instructor Nikolaos Vasiloglou - VP of Data Science at Relational AI will teach you what you need to know to get started with Deep Learning. You will leave this session with a practical knowledge of how to apply Deep Learning in your problem solving.
- Agenda will be released once registration opens
NLP 101 | June 17th @ 5:30pm ET
Join our Director of Data Science Brian O'Connor who will teach you what you need to know to get started with NLP. You will leave this session with a practical knowledge of how to apply NLP in your problem solving.
- Agenda will be released once registration opens
Search & Relevancy 101 | June 24th @ 5:30pm ET
Join our host Brian O'Connor and instructor Trey Grainger - Founder at Searchkernel will teach you what you need to know to get started with Search & Relevancy. You will leave this session with a practical knowledge of how to apply Search & Relevancy in your problem solving.
- Part I: Keyword Search and the Inverted Index (15min)
- Part II: Relevance Ranking Functions (15min)
- Part III: User Signals and Reflected Intelligence (15min)
- Part IV: Understanding User Intent (15min)
- Part V: Open Q&A (30min)
Recommendations 101 | July 1st @ 5:30pm ET
Join our host Brian O'Connor and instructor Khalifeh Al Jadda Ph.D. - Director Data Science at The Home Depot will teach you what you need to know to get started with Recommendations. You will leave this session with a practical knowledge of how to apply Recommendations in your problem solving.
- Agenda will be released once registration opens
Meet our Instructors
Our Data Science Development Series is led by Data Science instructors who are responsible for delivering advanced analytical and data-driven solutions for the industries leading brands.
Learn More
Learn more about our Data Science Services.
Whether you are planning or are already in the midst of your Data Science focused initiatives, our experts can help.