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The exam associated with this course will retire on 31st January 2021. However, the course is still valid as training material for learning purposes.
Our IT Ops training program is one-of-a-kind and offered for those wanting to create a powerful career in SQ; server solutions. The purpose of this course is to assist students in learning and practicing the art of managing BI solutions. What’s more is that our professional educators have vast Microsoft SQL server experience.
Students will learn to efficiently deliver reports using MS SQL server and its various tools. What’s more is that students will get their hands on live exercises by our accredited professionals to help them with better learning of Microsoft SharePoint and many other BI tools utilizing data mining.
Note: If you are into learning and practicing MS SQL Server, this course is ideal for you. Individuals’ part of this online course will be learning all the features and functions of Microsoft SQL Server 2012 and 2014. This course also prepares the students for the Microsoft 70-466: Implementing Data Models and Reports with Microsoft SQL Server certification exam.
After completing this course, students will be able to:
The Microsoft SQL Server training program is designed for students eager to analyze business tool and data as BI developers. Primary responsibilities include:
This course requires that you meet the following prerequisites:
What do you understand by linear regression?
Why is R useful for data science?
Exam Test Sample: 70-466 Designing and Deploying Microsoft Exchange Server 2016
Brand | Microsoft |
---|---|
Subjects | IT Ops & Management |
Lab Access | Yes |
Technology | Microsoft |
Learning Style | Virtual Classroom |
Learning Type | Course |
Difficulty | Advanced |
Course Duration | 5 Days |
Language | English |
VPA Discount | VPA Discount |
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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