Search result for Introduction to Big Data Online Courses & Certifications
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Data Wrangling with MongoDB
by Gundega Dekena , Shannon Bradshaw- 0.0
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Approx. 2 months
This course concludes with a final project where students incorporate what they have learned to address a real-world data analysis problem. Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need....
Free
Web of Data
by Catherine Faron Zucker , Fabien Gandon , Olivier Corby- 4.1
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Approx. 18 hours to complete
You will learn how to publish, obtain and use structured data directly from the Web. Historical Introduction to the Web Architecture Gephi and Corese to analyze data on the Web Introduction to week 3 and to-do-list LDP: a REST API to linked data Licentia: a Web site to choose the license of your data...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. Guidelines for Using Visualizations to Analyze Data...
Python Classes and Inheritance
by Steve Oney , Paul Resnick- 4.7
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Approx. 17 hours to complete
You will learn how to use classes to represent data in concise and natural ways. It is optional to have taken the "Data Collection and Processing with Python" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful. Introduction to the Specialization Introduction to Django...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. Introduction to Course 1...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
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Approx. 49 hours to complete
This course provides an introduction to using Python to analyze team performance in sports. Introduction to Sports Performance and Data Introduction to Data Sources Introduction to Sports Data and Plots in Python Introduction to Sports Data and Regression Using Python Introduction to Regression Analysis Regression Analysis - Intro to Cricket Data...
Data Visualization with Python
by Saishruthi Swaminathan- 4.5
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Approx. 20 hours to complete
One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Introduction to Data Visualization Tools Introduction to Data Visualization Introduction to Matplotlib Introduction to Data Visualization Tools Introduction to Folium Introduction to Plotly Introduction to Dash...
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Current-Mode Control
by Dr. Dragan Maksimovic- 0.0
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Approx. 14 hours to complete
● Introduction to Power Electronics (ECEA 5700) ● Use computer-aided tools and simulations to verify current-mode controlled dc-dc converters Introduction to Peak Current-Mode Control Introduction to the Course Practice: Introduction to Peak Current-Mode Control Introduction to Sampled-Data Modeling of Peak Current-Mode Controlled Converters Practice: Introduction to Sampled-Data Modeling Introduction to Average Current-Mode Control...
Customer Analytics
by Eric Bradlow , Peter Fader , Raghu Iyengar , Ron Berman- 4.6
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Approx. 12 hours to complete
From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. Introduction to Customer Analytics Introduction to Predictive Analytics...
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn how to find insights from data sets that do not have a target or labeled variable. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
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