Data Science BigData Hadoop

The course is generally started off with the fundamentals of programming languages like Python, Java, C++, or JavaScript, and the students are introduced to the syntax

These are the programming building blocks of logic and software behavior and allow developers to develop complicated systems with well-structured and readable codebases. Besides coding, the training course can also include software development processes such as Agile, Scrum, and DevOps practices that will instruct learners about the systematic process of implementing the software development life cycle (SDLC). types, and control flow. They further move on to the study of object-oriented programming (OOP), data structures, and algorithms, which form the foundation of coding efficient and optimised code.

A software development course is an exhaustive and industry-focused training course intended to equip students with the technical skills, practical experience, and professional methodologies necessary for constructing strong, effective, and scalable software solutions. At a time when digital transformation is redefining business and society, the need for professional software developers is growing exponentially.The main aim of the course is to equip students with the potential to design, create, test, and support high-quality software applications that employ a vast array of programming languages, development frameworks, and project management tools. It also focuses on the aspects of logical thinking, problem-solving, and teamwork — skills crucial in the rapidly changing world of technology. To simulate industry practices, the course also educates necessary tools like version control systems like Git and collaborative tools like GitHub or GitLab for team development. These tools, apart from instructing students to track changes and handle repositories, also facilitate teamwork and code review processes like those of actual development environments. Apart from this, learners gain hands-on exposure to automated testing, debugging, and CI/CD pipelines that provide software reliability and automate the release process. Hands-on exposure enhances students' confidence and preparedness for being productive in industry development teams on day one. Another key part of the course is the emphasis on software design, system analysis, and software architecture to enable students to design software in a strategic and scalable fashion. Knowing how to code and design systems in a way that is maintainable and efficient ensures long-term performance and upkeep — qualities that are a much-sought-after requirement for large-scale enterprise software projects. In addition to the technical skills, the course also encourages soft skills like communication, documentation procedures, time management, and client relationships in order to prepare the students to perform sufficiently within cross-functional teams.

In terms of career opportunities in the future, the software development industry presents gargantuan and varied career prospects in nearly all sectors — finance and healthcare to gaming and artificial intelligence. With newer technologies like cloud computing, blockchain, cybersecurity, Internet of Things (IoT), and machine learning being at a very fast pace of development, software developers are literally at the cusp of innovation itself.

The program is also the basis for career specializations in the role of backend developer, frontend developer, full-stack engineer, DevOps engineer, software tester, or even solutions architect. For individuals with leadership instincts, skills acquired can serve as a stepping stone towards project management or technical lead roles. Others can choose to go into entrepreneurship by developing their own software products or technology startups.

 

 

 

DataScience BigData Hadoop

Course Code ITDS0015

Duration 120 Hour

DataScience

Online & Offline

Course Fees 37500 /-

Online Offer 30000 /-