Mastering Devops Program

Last Update September 22, 2023
12 already enrolled

About This Course

DevOps is a set of software development practices that aim to automate and improve the process of software delivery. DevOps is a culture, philosophy, or movement that emphasizes the collaboration and communication of both software developers and other information technology (IT) professionals while automating the process of software delivery. This program is designed to provide you with a comprehensive understanding of DevOps principles, practices, and tools. Whether you are a software developer, system administrator, operations manager, or anyone interested in DevOps, this program will equip you with the knowledge and skills to excel in this field.

DevOps, short for Development and Operations, is a software development approach that emphasizes collaboration, communication, and integration between development teams and operations teams. It aims to streamline the software delivery process, increase the efficiency of deployments, and improve overall software quality.

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Learning Objectives

Understand the fundamentals of database theory
Use SQL to create, design, and manipulate SQL databases
Extract data from a database writing your own queries
Create powerful professional visualizations in Tableau
Combine SQL and Tableau to visualize data from the source
Solve real-world business analysis tasks in SQL and Tableau

Material Includes

  • Videos
  • Booklets


  • No prior experience is required. We will start from the very basics
  • You’ll need to install MySQL, Tableau Public, and Anaconda. We will show you how to do it step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365

Target Audience

  • Beginners to programming and data science
  • Students eager to learn about job opportunities in the field of data science
  • Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment
  • SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
  • People interested in a Business Intelligence Analyst career


5 Lessons22h 30m

Intro to Data and Data Science – Common Data Science Techniques

Communication Skills Methodology

Your Instructors


22 Courses
18 Reviews
36 Students
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All Levels
Duration 22.5 hours
5 lectures

Material Includes

  • Videos
  • Booklets

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