As people see increasing automation and technological developments, software is quickly becoming a vital component of human life. If software is to become a fundamental part of human existence, the software industry must continue to find better ways to design software, just as many expect cars to run all of the time and can't afford for them to break or reboot unexpectedly.

Software Development Processes and Methodologies offered by University of Minnesota provides you an insight of how software development teams work. What procedures do they employ? What are some of the most widely used methodologies in the industry? What are the advantages and disadvantages of each? You will get enough knowledge to engage in meaningful discussions on software development methods.

After completing this course, a learner will be able to:

• Apply core software engineering practices at conceptual level for a given problem.
• Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset.
• Propose a methodology best suited for a given situation

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 22 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
• Course 1 of 4 in the Software Development Lifecycle Specialization

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/software-processes

"A collaborative data management practice focused on increasing the communication, integration, and automation of data flows between data managers and consumers across an organization," according to Gartner. DataOps, like DevOps, is a principles-based methodology that influences how data is given and updated to satisfy the needs of an organization's data consumers."

The DataOps Methodology is intended to allow an organization to construct and deploy analytics and data pipelines using a repeatable procedure. They can supply high-quality enterprise data to enable AI by adopting data governance and model management procedures. An organization that successfully implements this methodology will be able to know, trust, and use data to drive value.

You'll discover best practices for establishing a repeatable and business-oriented framework to deliver trusted data in the DataOps Methodology course. This course is part of the Data Engineering Specialization, which teaches the fundamental skills needed to work as a Data Engineer.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 10 hours to complete
  
• Subtitles: English

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/ibm-data-ops-methodology

LearnQuest is the preferred training partner of the world's most successful businesses, organizations, and government entities. Their team has more than 20 years of expertise creating, producing, and delivering a full range of industry-leading technology education programs and training solutions to clients all over the world. Their instructors, who have extensive industry expertise and an unwavering dedication to quality, lead sessions in a variety of delivery formats so that their clients may get the training they need when and when they need it.

Scrum Master Certification: Scrum Methodologies offered by LearnQuest is meant to help Scrum newbies learn the fundamentals of Agile Scrum so they may become proficient with it. Learners will examine User Stories and how they are prioritized in Agile, Velocity, Backlog Refinement, and Market Actions throughout the course. Learners will also be introduced to various Scrum Reports and risk management techniques.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 8 hours to complete
  
• Subtitles: English
• Course 2 of 4 in the Scrum Master Certification Specialization

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/csm-practice-process-management

Data Science Methodology offered by IBM ranks top on the list of the Best Online Methodology Courses. Despite recent increases in processing power and data access over the last few decades, the capacity to use data in the decision-making process is often lost or underutilized because people lack a thorough knowledge of the questions being asked and how to apply the data effectively to the problem at hand.

The goal of this course is to present a methodology that can be utilized in data science to ensure that the data used in issue solving is relevant and properly processed to answer the question. Accordingly, in this course, you will learn:

• The major steps involved in tackling a data science problem.
  
• The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
  
• How data scientists think!

This course offers:

• Flexible deadlines: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 8 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, English, Spanish, Persian

Coursera Rating: 4.6/5.0
Enroll here: https://www.coursera.org/learn/data-science-methodology

Another course offered by LearnQuest is Combining Scrum with Other Agile Methodologies. This course is among the Best Online Methodology Courses. This training is aimed to help Scrum newbies improve their Agile Scrum skills. Other Agile techniques are layered on top of Scrum in this course. The Certified Scrum Master specialization's fourth course is this one. Before starting this course, people recommend that you finish the first three.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 7 hours to complete
  
• Subtitles: English
• Course 4 of 4 in the Scrum Master Certification Specialization

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/combining-scrum-with-other-methodologies

One of the Best Online Methodology Courses, Research Methodology: Complete Research Project Blueprint is worth mentioning. This training is for project managers, program managers, and anyone else who wants to engage in agile projects effectively. It aligns with the Project Management InstituteAgile ®'s Certified Practitioner test goals as well as Certified ScrumMaster learning objectives.

You will learn everything you need to know about Managing Stakeholder Engagement through training videos, examples, exercices, and quizzes. And, if you take the time to go over all of the learning materials, you'll be able to claim the required PDUs for the PMI certification examinations and keep your PMI certification. So, thank you for taking the time to look at this course! Go ahead and press the "Take This Course" button now. And I'll see you inside.

Requirements:

• This is a complete course, there are no specific prerequisites but reading about projects, project management, project life cycle, organizational project management, project scope, project schedule, project costs, proje

Who this course is for:

• Intended for project managers, program managers, or anyone who wants to efficiently participate in agile projects.
  
• Aligned with the Agile Certified Practitioner exam objectives developed by the Project Management Institute® and Certified ScrumMaster learning objectives
  
• This course is for you if you are a project worker with or without formal project management training.
• You will improve or gain a project risk management skills.
  
• This course is for you if you are an entrepreneur, a manager, a volunteer or an innovator. Effective risk management will secure your profit, will help you manage with confidence, make you a valuable resource and help you give life to your next new brilliant idea

Subtitles: English
Udemy Rating: 4.5/5.0
Enroll here: https://www.udemy.com/course/the-agile-methodology-for-project-risk-managers/

During this course, you will learn about the research problem, research design, sampling techniques, research proposal, data collection, data analysis, and research report (dissertation/thesis) as well as other fundamental ideas in research methodology. This course seeks to explain concepts in the simplest way possible in the shortest amount of time.

This training is intended to be hands-on. For both quantitative and qualitative research, the theoretical information that makes up research technique is organized around the practical procedures that make up the research process.

Research Methodology will not teach you how to calculate statistics. A statistic is not a necessary component of a study. You can complete a flawless research project without using statistical computations. Furthermore, the statistical methods utilized in research differ significantly from person to person and discipline to specialty. This course will not set you back a fortune; all you have to do is forego two-thirds of a cup of coffee, but the information you will learn will last a lifetime. Check it out for yourself!

Requirements:

• None

Who this course is for:

• Academic researchers
  
• Faculty members
  
• Business professionals
  
• Research enthusiast
  
• College/University students

Subtitles: Dutch, French, German, Italian, Portuguese, Spanish, Turkish
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/research-methods/

Civil engineering is a branch of engineering that deals with the design, construction, and maintenance of the physical and naturally created environment, such as roads, bridges, canals, dams, airports, sewerage systems, pipelines, building structural components, and railways.

Civil engineering is one of the oldest and broadest engineering disciplines, encompassing the planning, design, construction, maintenance, and supervision of infrastructures such as highways, bridges, tunnels, schools, hospitals, airports, and other buildings, as well as sewage systems and water treatment facilities. As a result, the course also includes public and environmental health protection, as well as enhancing existing infrastructure.

The students will be able to read and understand all architectural and structural AutoCAD drawings. With the help of practical photos and videos, learners will be able to grasp how a building is built from the ground up. The students will master the fundamentals of civil engineering as well as structural engineering. This course will serve as a foundation for anyone planning to build a house, a residential building, or a commercial building. Students will study the construction sequence and how to apply it on the job site in this course. Architectural and structural drawings will be understood by students. Footing layout drawings, Column layout drawings, and Column reinforcement drawings will all be understood and read by students.

Requirements:

• Should be Enthusiastic to Learn Building Construction

Who this course is for:

• Civil Engineers, Architectural Students, Structural Engineers, Structural Consultants, Architects
  
• Quantity Estimator, Project Management Consultants
  
• Anyone working or interested in building materials and systems. The typical audience includes general contractors, specialty contractors, architects, engineers, building owners, construction managers, real estate developers and managers, facility operators and managers, engineering students, first responders or anyone with curiosity related to the "guts" of a building!

Subtitles: English
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/master-building-construction-with-practical-autocad-drawings/

Whether you're a software developer or a project manager in charge of keeping development projects on track in an agile setting, this course will teach you the fundamentals of Agile development. This course provides an overview and background to gain a basic understanding of the following topics:

• The definition of Agile (as it applies to projects and software development)
  
• The 4 Value Statements of the Agile Manifesto
  
• Identify the 12 Agile Manifesto Principles
  
• Compare Agile to Traditional (Waterfall) Development Processes
  
• The Agile Approaches - Scrum and XP (Extreme Programming)
  
• Description of how Agile and Traditional Methodologies Evolve
  
• Explain the Program Du Jour Effect
  
• Trade-Offs of Using Agile versus not Using Agile
  
• Common Misconceptions of Agile

Learn the Agile Methodology does not teach any programming languages and is not intended to be technical in nature. It's crucial to have a fundamental understanding of the software development life cycle.

Requirements:

• Internet connection

Who this course is for:

• Software Developers
• Project Managers

Subtitles: English
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/introduction-to-agile/

Data Science- Project Management Methodology-CRISP-DM(2022) teaches you how to handle data-related projects in an organized way to increase your chances of success. Learn how data is supporting organizations in making well-informed data-driven decisions. For all industries and sectors, data is being considered as the new oil that keeps businesses ahead of the competition. Learn real-time Big Data Analytics applications and grasp the necessity for analytics through a use case. Also, get a high-level understanding of the best project management technique for Data Mining - CRISP-DM.

Learners will get an understanding of the CRISP-DM project management technique, which is used to manage Data Science and Artificial Intelligence projects from start to finish. Learn about all six steps of the model development process, including business understanding, data understanding, data preparation, data modeling, model evaluation, and model deployment. Learn about data collection, cleansing, preparation, munging, and wrapping, among other topics.

Learn about exploratory data analysis, which is the first step in churning the data. You'll also learn about statistical calculations, which are used to extract information from data, in this session. We'll start to learn how to conduct a descriptive analysis.

Discover what a continuous probability distribution is. Under normal conditions, understand the properties of a continuous random variable and its distribution. Statisticians have defined a variable as a standard to understand the properties of the standard variable and its distribution in order to identify the properties of a continuous random variable. You'll learn how to use a normal Q-Q plot to see if a continuous random variable follows a normal distribution and learn about the science underlying estimating a population's value using sample data.

Requirements:

• Knowledge of Data Science Basics is recommended but not mandatory.

Who this course is for:

• Data Science Beginners, Intermediate and Advanced users, Artificial Intelligence Beginners, Intermediate and Advanced users.

Subtitles: English
Udemy Rating: 4.0/5.0
Enroll here: https://www.udemy.com/course/data-science-project-management-methodology-crisp-dm/