Search result for Big data and data science certification Online Courses & Certifications
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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....
Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
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Approx. 12 hours to complete
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. Getting Started and Big Data Opportunities Big Data Overview Big Data Limitations Big Data Limitations Overview Big Data Limitations Data ≠ Reality Define and discuss big data opportunities and limitations....
Data-driven Decision Making
by Alex Mannella- 4.6
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Approx. 9 hours to complete
In this course, you'll get an introduction to Data Analytics and its role in business decisions. Why do you need a data and analytics framework? The 4 aspects of the data and analytics framework Data and analytics framework: tools and techniques Make better and faster decisions with data and analytics The marketplace and emerging trends in big data analytics...
Data Analytics: SQL for newbs, beginners and marketers
by Lazy Programmer Inc.- 4.4
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1.5 hours on-demand video
Dominate data analytics, data science, and big data With big data and data science on the rise, we have more data than we know what to do with. In the last section, we'll do Advanced SQL queries on Spark, the big data framework that is the successor to MapReduce and also runs on top of Hadoop....
$9.99
Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
In this course you will explore the ethical considerations around big data and how these considerations are beginning to influence policy and practice. Explain the state-of-the-art in privacy, ethics, governance around big data and data science 06 Data Types and Visual Mappings Exercises Reproducibility and Data Science Reproducibility for Big Data...
Promote the Ethical Use of Data-Driven Technologies
by Renée Cummings , Aaron Hui , Megan Smith Branch , Eleanor 'Nell' Watson , Tania De Gasperis- 4.7
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Approx. 21 hours to complete
You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Big Data Distinguish between artificial intelligence and data science concepts....
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. Materials Knowledge and Materials Data Science Data Science Terminology Main Components of Data Science Materials Knowledge and Materials Data Science Structure-Property Linkages using a Data Science Approach-Part 1 Structure-Property Linkages using a Data Science Approach-Part 2 Materials Data Science with PyMKS...
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Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. 1: Data Science and Big Data Process Mining in the Large: Smart Data Scientists Are More Important Than Big Computers!! 9: Data Science in Action...
Case studies in business analytics with ACCENTURE
by Nicolas Glady- 3.7
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Approx. 8 hours to complete
Why is Big Data really big? Big data & predictive maintenance in the Utilities sector - Rohit Banerji Big data & advanced analytics in the Communications industry - Cian O’Hare Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady Data exploration is an iterative process - Nicolas Glady...
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
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Approx. 14 hours to complete
The third module focuses on Engineering Data Pipelines including connecting to databases, schemas and data types, file formats, and writing reliable data. The final module covers data lakes, data warehouses, and lakehouses. Students build production grade data pipelines by combining Spark with the open-source project Delta Lake. Data Lakes, Warehouses and Lakehouses Continuing with Spark and Data Science...
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