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Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to DataWrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.
Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions.
Events with Dates TBD We’re still working out the dates for a few events, but here are some things to come: Meet the Experts | In-Person: Meet the Experts and Speakers brings you up close and personal with some of the biggest names in data science! They will be held virtually on the conference platform.
This course is perfect for people beginning their AI journey and provides valuable insights that we will build up in subsequent SQL, programming, and AI courses. Upon completion, students will have a strong foundation in SQL and be able to use it effectively to extract insights from data. Interested in attending an ODSC event?
It covers topics such as data collection, organization, profiling, and transformation as well as basic analysis. It will help you begin your AI journey and gain valuable insights that we will build up in subsequent SQL, programming, and AI courses. You will learn how to design and write SQL code to solve real-world problems.
Past courses have included An Introduction to DataWrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.
with DataGPT The Tangent Information Modeler, time series modeling reinvented with Tangent Works Networking Opportunities and Events Connect with data and AI practitioners from across the globe during our events and in networking channels to discover new approaches and the different applications of the tools you use every day.
And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.
They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. These professionals will work with their colleagues to ensure that data is accessible, with proper access. Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis.
Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses. R also excels in data analysis and visualization, which are important in understanding the output of LLMs and in fine-tuning prompt strategies.
NoSQL Databases These databases, such as MongoDB, Cassandra, and HBase, are designed to handle unstructured and semi-structured data, providing flexibility and scalability for modern applications. Understanding the differences between SQL and NoSQL databases is crucial for students.
D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. DataWrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.
Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. There will also be an in-person career expo where you can find your next job in data science!
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