Search result for Data processing Online Courses & Certifications
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Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. Coming from Python 2 - Encoding Data in Python 3 Interview: Anil Jain - Image Processing Exploring Data Sources (Project) Identifying Your Data Source - Introduction List of Data Sources (Instructional Staff Curated)...
Natural Language Processing and Language Understanding in Educational Research
by Pete Smith , Henry Anderson- 0.0
3 Weeks
An introduction to analysis of language data for educational researchers. This course offers an overview of natural language processing (NLP) and natural language understanding (NLU) for educational practitioners, leaders, and researchers. examples of unstructured data in educational settings; How unstructured data can be analyzed in educational research settings; Common tools and techniques to analyze unstructured data in learning analytics research....
$99
Molecular Biology – Part 3: RNA Processing and Translation
by Stephen P. Bell , Tania A. Baker , Mary Ellen Wiltrout , Sera Thornton- 0.0
8 Weeks
An in-depth adventure through RNA Processing and Translation. Although not official steps in the central dogma, the mechanisms of RNA processing strongly influence gene expression. Do you feel confident in your ability to design molecular biology experiments and interpret data from them? 3x Molecular Biology: RNA Processing and Translation. How to interpret data from translation and RNA processing experiments...
$99
Learn PyTorch for Natural Language Processing
by Packt Publishing- 3.1
4.5 hours on-demand video
PyTorch: written in Python, is grabbing the attention of all data science professionals due to its ease of use over other libraries and its use of dynamic computation graphs. It’s a journey from diving deep into the fundamentals to getting acquainted with the advanced concepts such as Transfer Learning, Natural Language Processing and implementation of Generative Adversarial Networks....
$12.99
Explore Core Data Concepts in Microsoft Azure
by Microsoft- 4.8
Approx. 9 hours to complete
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. Core Data Concepts and Roles Identify the need for data solutions Identify types of data and data storage Data ingestion and processing...
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Features from Categorical Data Features from Temporal Data...
Introduction to Apache Spark for Developers and Engineers
by Adastra Academy- 3.9
2 hours on-demand video
Apache Spark is the next generation open source Big Data processing engine. Data scientists and engineers Developers Individuals with a basic understanding of: Apache Hadoop, Big Data, programming languages (Scala, Java, or Python)For students unfamiliar with Big Data and Hadoop, the course will provide a brief overview of each topic....
$12.99
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Learning MongoDB
by Packt Publishing- 4
3.5 hours on-demand video
A comprehensive guide to MongoDB for ultra-fast, fault tolerant management of big data, including advanced data analysis The flexibility of unstructured storage, combined with robust querying and post processing functionality, make MongoDB a compelling solution for enterprise big data needs. His focus on data store technologies spans relational databases, caching systems, and contemporary NoSQL stores....
$11.99
Algorithms, Part I
by Kevin Wayne , Robert Sedgewick- 4.9
Approx. 54 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms....
Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
Approx. 63 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Data Compression Introduction to Data Compression Interview Questions: Data Compression (ungraded)...