Filtering by: Technical Workshop
As a data scientist, you are not only expected to know your expected values but also your expected runtime. Do you know basic computer science concepts like Big-O, standard data structures, and basic algorithms? Do you think about edge cases and test your code? Worry not! In this session, CDSS will go over important concepts you should know, walk through real interview questions, and share some tips regarding coding.
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Machine Learning is the foundation for predictive modeling and is an important component of interviews for Data Scientist roles. Join CDSS as we cover the range of concepts that often get tested and help you ace your technical interviews!
The workshop will cover a range of topics from ML fundamentals to algorithms and specific applications. We will also look at the different ways in which questions are framed in these interviews.
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Data science interviews often test your SQL skills, so to prepare you, CDSS is going to walk through everything you need to know to ace it! We'll start from basic SQL syntax and work our way up to more advaned functions, as well as walk through the approach to some typical interview questions.
Time: Thursday 10/18, 7:30 - 8:30 PM
Place: Barnard 302
Slides: https://github.com/jillianknoll/SQLinterviews
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Want to secure interviews from top tech companies? You need more than solid coding skills. Join our resume/portfolio workshop where we will show how to use Github to build outstanding repositories and personal websites. There will also be experienced CDSS board members giving personalized suggestions on your resume!
Time: Wednesday 10/17, 8:00 - 9:00 PM
Place: Kent 413
Slides: https://drive.google.com/file/d/1BSYgljgtKOVJMrhEuw8w4S2PAADUNBEP/view
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When: Wednesday, April 4 2018 @ 7:30pm
Where: Pupin 329
Do you know how to file your taxes? Have you started building your credit score? What about your retirement savings? Come learn how to adult your personal finances, backed by data and math. You won’t learn this in school!
Please RSVP.
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Get started with your own IoT project and learn how to stream sensor data from a Raspberry Pi to a streaming API for real time visualizations. This first event of our new IoT workshop series will introduce you to the Raspberry Pi computer, programming for IoT projects using Python, and real time data streaming. No prerequisites other than a basic understanding of Python are required!
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When: Monday January 29 2018 @ 7:15pm - 8:00pm
Where: Lerner 569
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Kaggle is the biggest online Data Science platform which brings together some of the most skilled data scientists out there. It is home to the biggest Machine Learning competitions in the world and is also a treasure trove of resources for both aspiring and seasoned Data Scientists.
Join us for a workshop that will teach you how to utilize this platform to hone your Data Science skills, attack new data-driven problems, build a portfolio that stands out and get noticed by recruiters!
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*** Please register for the workshop here: http://bit.ly/cdss_tableau ***
The demand for graduates with data analytics and visualization skills has never been higher. Data mining, statistical analysis, and data presentation are among LinkedIn’s list of top skills that can get you hired in 2017. And Forbes recently ranked Tableau as the technical skill with the third biggest rise in demand.
We’ve partnered with CDSS for a hands-on Tableau training for Columbia University students.
Agenda:
1:30-1:45 PM: Overview of Tableau and how to get started as a student
1:45-3:15 PM: Hands-on Tableau Desktop training*
3:15-3:30 PM: Q&A
This is a free event. Spaces are limited - register today to reserve your seat.
*Don’t forget to bring your personal computer, along with a copy of Tableau Desktop installed (request your free student license: https://www.tableau.com/academic/students#form), so that you can follow along with the hands-on training.
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Are you looking to learn the basics of the pandas library for Python for your next data science project or an upcoming interview? Do you want to find out why Pandas is useful for data science and how it can be used most efficiently? Join us for a short session on the basics of dataframes, file I/O, cleaning and viewing data and preparing dataframes for scikit-learn. We will guide you through the basics of pandas using the Kaggle Titanic dataset.
When : Wednesday, November 8 at 9:00pm to 10:00pm
Where : Hamilton 517
Codes: https://github.com/columbiadatascien…/pandasworkshopfall2017
For more information and RSVP
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