Mon-Fri 9am to 6pm CST
Analyzing Big Data with Microsoft R
This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.
Self-Paced
Learning Style
Microsoft
Provider
Intermediate
Difficulty
16 Hours
Course Duration
Course Info
Certificate
{{startDate}}
9:00 AM - 5:00 PM CST
Duration - 0 Days -
You have already taken demo for this course.
If you want to get access to demo again, feel free to contact our support at (855) 800-8240
This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.
Course Information
About this Course:
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).
Course Objective:
The core objective of this course is to help professionals gain a better knowledge and understanding of the following key concepts:
- Data Interpretation from Flat Files into Microsoft R Data Frame
- Dataset Structure Investigation and Resolutions
- Prepared Datasets Storage and Applications
- Data Transformation and Preparation
- Essential Summary Statistics Calculation and Crosstabulation’
- Creating Summary Functions and ggplot2 Data Visualization
- Data Deployment and Scaling
- Predictive Model Development and New Data Prediction Generation
- Model Comparison and Evaluation
Audience:
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.
Prerequisites:
Professionals planning to enroll in the Analyzing Big Data with Microsoft R Course must comply with the following prerequisites:
- Familiarity with the Core Features and Functionalities of Microsoft R.
- Fundamental Knowledge of Microsoft R Data Structures
- Working Experience with Third-Party Packages is also highly Recommended
Career & Salary Insight
Outline
More Information
| 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 |
Acclaim Badge
Financing
Monthly Payments With Affirm
QuickStart and Affirm have teamed up to offer you financing, allowing you to pay off your purchase over time, on your own terms. Simply select Affirm in checkout, and you will need to take a few moments to fill out some information for a real-time decision. Checking your eligibility and terms won't affect your credit score. Once you are qualified, you will have the option to choose from 3, 6, 12, 18 or 26-month financing terms*, with each term clearly showing your monthly payment. No hidden fees or costs! it's that simple!
Rates are between 0-30% APR. As an example, a $700 purchase might cost $63.24/mo for 12 months at 15% APR. A down payment may be required. Subject to eligibility check and approval. Payment options depend on your purchase amount. Estimated payment excluded taxes and shipping fees. Paid interest is nonrefundable. Actual terms may vary. Payment options through Affirm are provided by these lending partners: affirm.com/lenders. Visit affirm.com/help for more info.
Reviews
Write Your Own Review
Course Expert:
Tom Robertson
(Data Science Enthusiast)
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.
Learn Subscription Includes:
Sign up for your FREE TRIAL, And Explore Hundreds Of Courses.
Customer Reviews
-
Really interesting trainningReally interesting trainning
Posted on
Chat