Search result for General assembly data science review Online Courses & Certifications
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A Hands On Python 3 Course - Learn From Scratch
by Marufa Yasmin- 2.4
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35 mins on-demand video
After this course, the student will have a general overview of the Python programming language. And because Python is the most used statistical and machine learning programming language, we finally review the data science packages triad in Python: Pandas (data processing), Scikit-learn (machine-learning), and Statsmodels (statistics)....
$11.99
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
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Approx. 20 hours to complete
The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields....
Science Literacy
by Dr. Claire Scavuzzo- 4.3
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Approx. 23 hours to complete
Module 1: Introduction to Science Welcome to Science Literacy Science Communication Science Vs Opinions Scientists can miscommunicate their science too! Watch and Reflect: The Importance of media communicating science Drag and Drop Activity: Problems and Solutions in Science Reporting Watch and reflect: Scientists Communicating Science Scientists "digesting" their science to a general audience...
M2M & IoT Interface Design & Protocols for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
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Approx. 9 hours to complete
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course is focused on connecting devices to each other and to the cloud to create prototypes and actual systems that flow data from devices to consumers....
Social Science Approaches to the Study of Chinese Society Part 2
by Cameron Campbell- 0.0
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Approx. 16 hours to complete
This course is intended as a first step for learners who seek to become producers of social science research. It reviews the major types of qualitative and quantitative data used in social science research, and then introduces some of the most important sources of existing data available freely or by application, worldwide and for China....
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
He has been teaching Data Science at General Assembly (recently acquired for $420m by Adecco) for over two years, is a DataCamp instructor for Finance & Python with over 15,000 students, and is the author of ‘Hands-on Unsupervised Learning’ and ‘Mastering Unsupervised Learning’ by Packt. The Apriori Algorithm – Preparing the Data...
$12.99
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Tidy Data Review Reshaping Data Wide Data Long Data...
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How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few....
Combining and Analyzing Complex Data
by Richard Valliant, Ph.D.- 4.2
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Approx. 10 hours to complete
The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Informed consent may have to be obtained from persons to allow their data to be linked. Improving Federal Statistics Using Multiple Data Sources Impact of Research on Innovation, Competition and Science...
Delivery Problem
by Alexander S. Kulikov- 4.7
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Approx. 14 hours to complete
We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly?...
