LIVE TRAINING
SAVE THE DATE: October 20th, 2022 @ 1 pm EST
LIVE TRAINING: Introduction to PYTHON for Programming
October 12th @12 PM EST
Price: $147
Regular price $210, discounted 10%
4 hour immersive session
Hands-on training with Q&A
Recording available on-demand
Certification of Completion
30% Discount Ends in:
Subscribe and get an additional 10% to 35% off ALL live training session
Pricing: $147
Price: FREE with ODSC Bootcamp ticket or above
- Purchase virtual or in-person Bootcamp ticket or above and attend Data Literacy live training for free
Includes:
- All the Bootcamp training sessions, workshops and talks at ODSC West (more than 200+ sessions)
- ODSC West recordings
- Networking events
- Access to Career Expo
- Data Literacy live training and recording
- Annual Premium Subscription
Price: $95 with Annual Ai+ Premium Subscription
- Purchase Annual Premium Subscription and attend Data Literacy live training for $95
Includes:
- Access to all on-demand Ai+ Sessions (more than 100)
- Previous ODSC Conference recordings
- $500 credit for upcoming ODSC Conferences
- Machine Learning Certification
- Deep Learning Bootcamp
- Data Literacy live training and recordings
Price: $147 (includes 30% discount)
- Purchase your Data Literacy ticket by 2022/10/08 to redeem 30% discount
Includes:
- Data Literacy – 3 hours immersive session
- Hands-on training with QA
- Certification of Completion
30% Discount Ends in:
Meet Your Instructor
Sheamus McGovern
Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.
Course Overview
What’s the plan?
Data literacy is fundamental to mastering many areas of AI including data science, machine learning, deep learning and data engineering. This fast paced but comprehensive tutorial will introduce you to fundamental data concept that will help you grasp underlying concepts and serve as a foundation course and prerequisite to more advanced machine learning and data science topics. Over 5 lessons you will learn the language of data and better understand the data life cycle and its role in building machine learning models.
Who is this training for?
Anyone thinking about a career in data, data engineering, machine learning, data science, or other data/AI realated roles
Anyone seeking better ways to work with and analyze data
Anyone seeking to take introductory-level courses in data science, machine learning, or deep learning
Course Outline
What’s the plan?
Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.
Course Overview
Python is a powerful tools that XXX
Join the live session with Sheamus McGovern
SAVE 30%Course Outline
Module 1:
An Introduction to Data Literacy and The Data Lifecycle
Module 2:
Data Collection
Module 3:
Data Profiling
Module 4:
Data Preparation, Shaping, and Transformation
- What is Data Literacy
- Why Data Literacy is Important
- Data Literacy for Careers in AI
- The Data Life Cycle
- Data Defined: What is Data?
- Understanding Data Types
- The Data Life Cycle
- Understanding Data Types
- SQL Data Types
- Sourcing & Collecting Data
- Data Collection Tools
- Data Profiling
- Data Profiling: An Example Dataset
- Describing a Dataset
- Data Profiling: Correlations and Outliers
- Discovering Data Issues
- Data Profiling Tasks and Tools
- Data Preparation
- Data Transformation
- Data Enrichment
- Data Shaping and Shaping Examples
- Data Preparation and Shaping Tools
Module 5:
Data Generation & Capture
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- Features in Machine Learning Models
- Feature Selection
- Machine Learning Algorithms vs Models
- The Target Variable
- Big Data & Wide Data
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Key Details
DATE
TIME:
DURATION:
LEVEL:
OCTOBER 20TH, 2022
1 PM EST, 10 AM PST
1.5 HOURS
BEGINNER
Prerequisites
- No prior programming or data experience required
Upcoming Live Training
XXth
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