This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.
Learning Style
Provider
Difficulty
Course Duration
This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.
This intermediate-level training program is specifically designed for IT Professionals and Developers working within Big Data Environment. This course presents a great learning opportunity for students and candidates striving to learn the fundamentals of working with Big Data. Microsoft R Programming Language and its functionalities are comprehensively elaborated in this course and professionals get practical experience of analyzing and working with big datasets.
This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server. Professionals get to develop familiarity with these functionalities and apply these features to process and analyze large datasets seamlessly. Professionals also get to learn the art of deploying Microsoft R Server Functionalities on SQL Server Database and Spark Cluster. In this way, candidates will get to learn the basics of big data problem solving with the help of Microsoft R Server (MRS).
The core objective of this course is to help professionals gain a better knowledge and understanding of the following key concepts:
This course is specifically tailored for Data Scientists and Data Analysts. Professionals liable for R Analysis and Solution Integration can also greatly benefit from the teachings of this course.
Professionals planning to enroll in the Analyzing Big Data with Microsoft R Course must comply with the following prerequisites:
| Brand | Microsoft |
|---|---|
| Subjects | Big Data |
| Lab Access | No |
| Technology | Microsoft |
| Topics | Big Data |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 16 Hours |
| Language | English |
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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