Search result for Introduction to Big Data Online Courses & Certifications
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Introduction to Accounting Data Analytics and Visualization
by Ronald Guymon- 4.8
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Approx. 19 hours to complete
A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results....
Managing Big Data in Clusters and Cloud Storage
by Ian Cook , Glynn Durham- 4.7
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Approx. 21 hours to complete
In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. Use different tools to browse existing databases and tables in big data systems...
The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy
by Peter O'Connor , Augustin Cacot , Nathaniel Green- 4.6
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Approx. 11 hours to complete
The purpose of this course is to provide a core understanding of the fundamentals of revenue management, which ties into the larger picture of revenue strategy. Introduction to Segmentation Introduction to Forecasting and Budgeting Introduction to Pricing Introduction to Segmentation Introduction to Forecasting & Budgeting Introduction to forecasting and budgeting Introduction to Pricing...
The Data Science of Health Informatics
by Hadi H. K. Kharrazi, MD, Ph.D , Sam Meiselman- 4.7
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Approx. 10 hours to complete
Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Introduction to Databases and Data Types Introduction to Databases Describe the data required to answer a healthcare information problem....
Predictive Modeling and Analytics
by Dan Zhang- 3.6
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Approx. 11 hours to complete
Welcome to the second course in the Data Analytics for Business specialization! You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. Introduction to the Course Introduction to the Module. Introduction to Predictive Modeling Introduction to Linear Regression...
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. Introduction to Data Science 1 – Introduction to Mathematical Concepts of Data Clustering...
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
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Approx. 11 hours to complete
In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. Week 1: Introduction to Data Products (Optional) Python: How to Run Review: Data Products Week 2: Reading Data in Python Introduction to Data Visualization Introduction to Matplotlib...
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Machine Learning A-Z: Logistic Regression Using Python ©
by AI Sciences- 4.1
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8.5 hours on-demand video
We’ll also learn various steps of data pre processing which allows us to make data ready for machine learning algorithms. Using pandas Data Frames to handle Excel Files Link to the Python codes for the projects and the data Introduction to data types Learn how to implement logistic regression on any data set...
$12.99
Surveillance Systems: Analysis, Dissemination, and Special Systems
by Stefan Baral, MD, MPH, MBA, FRCPC- 4.7
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Approx. 6 hours to complete
We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. Introduction to Analyses of Surveillance Data Introduction to Dissemination Strategies and Communication Frameworks Introduction to Chronic Disease Surveillance Systems...
Leadership Through Marketing
by Greg Carpenter , Florian Zettelmeyer , Sanjay Khosla- 4.6
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Approx. 7 hours to complete
In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence. Introduction to Course 4 with Dean Blount...
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