What we're about

ODSC brings together the open source and data science communities with the goal of helping its members learn, connect and grow.
The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:

1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.

2. Promote the use of open source languages and tools amongst data scientists and others.

3. Host educational workshops.

4. Spread awareness of new open source languages and tools that can be used in data science.

5. Contribute back to the open source community.

Who is this meetup for?

• Data engineers, analysts, scientists, and other practitioners

• R, Python and other software engineers who work with data or want to learn

• Data visualization developers and designers

• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilize open source tools

Get Involved with our Meetups:

• Meetup/Webinar Speaker Submission Form https://forms.gle/STEDWxgWBMnLnt8F8

• Suggest a Meetup Topic Form
https://forms.gle/FAnBGMnC6puP1zLs6

• Volunteer Form
https://forms.gle/rJB2k8ZvU7mj1R3c8

• Host or Sponsor Form
https://forms.gle/bVdnzttfSuKkWrHq5

• Showcase your Startup Form
https://forms.gle/2Z31dmGPe7RTw28B9

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q011lRxw0
• Code of conduct: https://odsc.com/code-of-conduct/

Upcoming events (3)

Webinar: "Overcoming Imposter Syndrome in STEM"

Online event

To access this webinar, please register here: https://hubs.li/Q0124P1W0

Topic: Overcoming Imposter Syndrome in STEM

Panelists:
Sierra King, Director of Admissions and Program Services at The Data Incubator

She is an Arizona State University alum with a degree in Business Data Analytics. Sierra brings 8 years of experience in the EdTech space and has held roles in admissions, operations, and sales before joining The Data Incubator's team in 2020. She truly enjoys assisting students with reaching their education and career goals.

Matt Chan, Data Scientist for Big Data at Comcast

Matt Chan graduated from our Summer 2020 cohort. He currently works with the Analytics and Experimentation Data Science Team as Data Scientist for Big Data at Comcast. At Comcast, Matt is the lead data scientist for the Xfinity Flex product team, where they use predictive modeling to provide insight for product design, experimentations, and evaluation.

Dr. Andrew Graczyk, Senior Data Scientist at NNData

Dr. Andrew Graczyk completed his PhD in Economics from the University of North Carolina at Chapel Hill in December 2017. His research specialty in game theoretic modeling, Bayesian statistics, and time series analysis allowed him to synthesize novel models to capture adverse incentives responsible for behavior that other models struggle to explain.

Marcos Huerta, PhD, Data Science Manager at CarMax

Marcos Huerta received his PhD in astrophysics from Rice university. After graduating, he spent the next 10 years in Washington DC working in science policy. Marcos transitioned to Data Science in late 2018 by enrolling in The Data Incubator's Data Science program in Washington DC.

Abstract:
Everyone has it, no one thinks others have it and it seems like no one talks about it. What is it? Imposter syndrome.

At TDI is committed to teaching the skills data professionals need to excel in their field, but that doesn’t end with just the technical skills. TDI teaches students how to have confidence in all that they do and helps them gain the personal tools to combat things like imposter syndrome.

Join the webinar with an all-star group of panelists to talk about what imposter syndrome means, how to overcome the self-doubt it brings and how our very own brightest alumni have dealt with it themselves.

[19th-21st April] Get 70% discount on you ODSC East 2022 conference - https://hubs.li/H0_t0tT0

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q012yBYb0
• Code of conduct: https://odsc.com/code-of-conduct/

Webscraping & Social Media Mining For Text Analysis& Natural Language Processing

This is a PAID event.
Registration is required:
https://hubs.li/Q012BB_f0

Level INTERMEDIATE

Instructor's bio: Minerva Singh, PhD, Spatial Data Analysis Expert, Founder at Minerva's Data Lab

Minerva joined the Center for Environmental Policy (CEP), Imperial College London as a Research Fellow in 2018. Before that, she completed a PhD from the University of Cambridge in 2017 where she focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. She holds an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. She has nearly 10 year's experience in conducting academic research at the interface of tropical ecology, data science, earth observation (EO), and artificial intelligence (AI)and published 14 first-author peer-reviewed papers in international journals since 2013 including PLoS One. She has obtained research funding of approximately £275,000 since 2018 and provided research, consultancy, and data science support to startups and industry partners including Treeconomy and Morphobotics LLC. She is a Fellow of the Royal Geographic Society (RGS)and Royal Statistical Society (RSS) as well as serving as an Associate Fellow at the Data Science Institute, Imperial College London. She is also a best selling course-instructor on the online MOOC platform Udemy where she provides online teaching to more than 71,000 students from across the world on machine learning, earth observation, and deep learning related topic

Abstract:
Are you interested in harnessing the power of data for informing business decisions?
Do you want to make data-driven financial decisions?
Do you want to develop cutting-edge analytics and visualizations to support business decisions?
Are you interested in deploying predictive modeling and forecasting methods to get an edge over the competition?

You Can Gain An Edge Over Other Data Scientists If You Can Apply Python Data Analysis Skills For Practical Business Intelligence (BI)

By enhancing the value of your company or business through the extraction of actionable insights from commonly used business data
Stand out from a pool of other data analysts by gaining proficiency in the most important pillars of BI applications

MY COURSE IS A HANDS-ON TRAINING WITH REAL BUSINESS RELATED PROBLEMS- You will learn to use important Python data science techniques to derive information and insights from commonly used business data

My course provides a foundation to carry out PRACTICAL, real-life BI tasks using Python. By taking this course, you are taking an important step forward in your data science journey to become an expert in deploying Python data science techniques for answering practical business questions (e.g. what kind of customers sign up for a long-term phone plan?).

Course Outline
Module 1: Get Started With Business Intelligence (BI) using Python Data Science
Module 2: Data Pre-Processing
Module 3: Exploratory Data Analysis (EDA) With Data Visualizations
Module 4: Basic Statistics For Business Intelligence
Module 5: Basic Time Series Analysis
Module 6: Machine Learning For Business Intelligence

Which knowledge and skills you should have?

Prior exposure to python programming concepts
Familiarity with Jupyter notebooks
A desire to learn about practical data science applications for business intelligence

What is included in your ticket?
1. Access to the live training and a QA session with the Instructor
2. Access to the on-demand recording
3. Certificate of completion

[19th-21st April] Use ODSCCommunity2022 to get an additional discount on your East conference pass - https://hubs.li/H0_t0tT0

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q012yBYb0
• Code of conduct: https://odsc.com/code-of-conduct/

ODSC East 2022 | Data Science Training Conference

Hynes Convention Center

This event is PAID. Registration is REQUIRED.
Use ODSCCommunity2022 to get an additional discount - https://hubs.li/H0_t0tT0

This year, ODSC East is expanding our content to feature a total of 12 multitrack focus areas. That’s even more expert-led training sessions, workshops, and talks on topics that will help you excel in your career.

Check out ODSC East speakers here - https://hubs.li/H0_t0tT0

We’ve also just announced our first group of expert speakers, including:

- Hannes Hapke - Co-author of "Building Machine Learning Pipeline" by O'Reilly Media and "NLP in Action" by Manning Publications

- Michael Mahoney, PhD - Currently researching large-scale machine learning, applications in genetics, astronomy, medical imaging, social network analysis, and internet data analysis, and more

- Sean Owens - Co-author of Advanced Analytics with Spark

- Dr. Rahul Dave - Previous work focused on device drivers for telescopes, bespoke databases for astrophysical data, and machine learning systems in various fields

- Richard Kim - Author of several papers in computational cognitive models of ethical decision makings for autonomous vehicles

- Anna Veronika Dorogush - A leader in the efforts to develop the CatBoost library

- Neha Pawar - Contributor to the Apache Pinot project

Useful links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://bit.ly/35pfPZo
• ODSC East on 19th-21st Apr - https://hubs.li/H0_t0tT0
• Code of conduct: https://odsc.com/code-of-conduct/

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