Search result for Introduction to Big Data Online Courses & Certifications
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Python for Genomic Data Science
by Mihaela Pertea, PhD , Steven Salzberg, PhD- 4.3
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Approx. 9 hours to complete
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University. 1: Data Structures Part 1 (11:58) 2: Data Structures Part 2 (10:41)...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
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Approx. 17 hours to complete
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Histograms Coding Demonstration : To show distribution of data Scatterplots Coding Demonstration : To compare data points on different dimensions...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 25 hours to complete
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. Use Data Visualization to Drive Your Analysis...
Databases and SQL for Data Science with Python
by Rav Ahuja , Hima Vasudevan- 4.7
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Approx. 18 hours to complete
Much of the world's data resides in databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. It is also intended to get you started with performing SQL access in a data science environment. Welcome to SQL for Data Science Introduction to Databases Introduction to Relational Databases and Tables...
Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web. Introduction Passing data to serving Introduction to TF Hub Explore federated learning and how to retrain deployed models while maintaining data privacy...
Managing and Securing the Apigee Hybrid API Platform
by Google Cloud Training- 0.0
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Approx. 4 hours to complete
You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling. Course Introduction Course Series Introduction Data storage and encryption Learn about security, data storage and role-based access control in Apigee hybrid. Understand how to plan for capacity in the hybrid runtime plane, and how to scale runtime components....
Introduction to Data Science and Machine Learning
by Fadi Khoury- 4
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1 hour on-demand video
This is a high level introduction to Data Science and Machine Learning for beginners and managers. By taking this course, you will learn the basics of Big data, probability, statistics, python coding and Azure machine learning studio. This is a great way to start your journey towards data literacy! 1) Understanding of the data science field...
$12.99
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Data Collection: Online, Telephone and Face-to-face
by Frederick Conrad, Ph.D.- 4.6
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Approx. 21 hours to complete
This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys....
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. Apply Tidyverse functions to import data into R from external formats...
Metagenomics applied to surveillance of pathogens and antimicrobial resistance
by Ana Sofia Ribeiro Duarte , Tine Hald , Sünje Johanna Pamp , Patrick Munk , Liese Van Gompel , Valeria Bortolaia , Pimlapas Leekitcharoenphon- 4.7
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Approx. 15 hours to complete
- the steps involved in a general metagenomics study, including quality control, mapping to different databases, and read count analysis - how to interpret read classification results Introduction to metagenomics Introduction to antimicrobial resistance Introduction to metagenomics Introduction to antimicrobial resistance General introduction to bioinformatics analysis of metagenomics data General introduction to bioinformatics analysis of metagenomics data...
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