70-740: Installation, Storage, and Compute with Windows Server 2016

  • Categories Windows Server
  • Total Enrolled 0
  • Last Update August 21, 2020


Windows Server Platform is one of the most widely used Server Operating Systems. It’s geared at bringing Microsoft’s experience at delivering world-ranged Storage and cloud services into your system

It possess a robust feature set, this includes storage, virtualization, management, networking, the web and application platform, etc. Furthermore, Microsoft Server 2016 covers the fundamentals of the Information Storage industry.

The Microsoft Server 2016 provides the skills to installing and administering Windows Server 2016 in an Enterprise Environ. Learning to install, manage storage, and compute with Windows Server 2016 will help in implementing storage solutions in one’s infrastructure.

This training provides learning channels on how to monitor virtual machine installations, configure storage solutions, plan, and learn how to manage failover clusters. Therefore IT professionals keen on learning about storage, visualization and computational aspect of this trending Windows Server must then opt for this training.

Clients using Windows Server may choose to deploy either on-site or using a cloud computing service. Each proffers its different merits.

By assigning the managing, upkeep and storage of your server to a cloud computing service such as Microsoft Owned Storage Service AZURE or Amazon Web Services (AWS) Clients get the benefit of paying a monthly based premium on usage rather than a fixed cost. Furthermore, these services tends to be more reliable because of its uptime capabilities. However, buying, configuring and running a server internally may be a considered better in certain situations, given that it’s more cost effective. Other usefully scenes where imploying a Windows server to manage client devices in a facility are also appropriate for running a physical server.


Main Features

  • Basic Notebook commands
  • Variables and conversions in Python
  • Variables, lists, dictionaries, sets, classes in Python
  • Python Function
  • Date management
  • Reading and writing files
  • Mathematical functions in NumPy
  • NumPy Functions
  • Reading and Writing Files with Pandas
  • Pivot tables in Pandas
  • Data Visualization with Matplotlib
  • Charts and Graphs

What is the target audience?


  • No programming experience is required for the course
  • A computer with internet connection


Who this course is for:

  • Researchers in the field of data analysis, machine learning and data mining, who want to consolidate the basics
  • Beginners who want to start learning the Python programming language
  • Programmers who already have experience with other languages and want to learn the Python language
  • Any student wishing to pursue a career in the field of Data Science
  • Anyone who wants to approach this new field for work or personal growth