PGDM (BDA) is for individuals who like examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information….
Machine Learning algorithms are part of Artificial Intelligence (AI) that imitates the human learning process, which can be used for decision-making and problem-solving. ML algorithms are systems of problem-solving techniques that exhibit human-like learning capability.
An undergraduate degree called a Bachelor of Computer Application (BCA) usually lasts three years and focuses on information technology, software development, and computer science. It provides a thorough understanding of databases, software engineering, data structures, and programming languages.
MBA in General Management is a graduate-level business degree program that provides a comprehensive understanding of various aspects of business and management. It is designed to equip students with the skills and knowledge necessary to lead and manage organizations effectively across a wide range of industries and sectors.
A Master of Business Administration in Big Data Analytics is a specialized graduate degree program that focuses on equipping students with the skills and knowledge needed to leverage data analytics and big data technologies to make data-driven decisions and solve complex business problems.
The MBA in Data Analytics at IILM is designed to equip you with the skills and knowledge needed to excel in the field of data science and analytics. During the program, you will study topics such as introduction to Business Analytics, Predictive Analytics, Descriptive Analytics, and Big Data Analytics.
Analytics & Information Technology specialization aims at developing students for IT Businesses and its specialized streams. The program builds Management skills and reinforces….
Cyber Threats and Attacks: Understanding various types of cyber threats, attack vectors, and vulnerabilities. Network Security: Designing and implementing secure network infrastructures to protect against cyber threats.
Renowned faculties from industry bring in real-world expertise. 24/7 access to study material & video lectures. Comprehensive study material for reference. Online coursework with real world case studies, and assignments.
Recommended learning efforts for the course is 7 – 10 hrs per week
Course is offered in collaboration with CompTIA, students will get CompTIA Security+ Certification
A Post Graduate Diploma in Management (PGDM) in Banking & Insurance is a specialized program designed to provide students with a comprehensive understanding of the banking and insurance industries.
MBA (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. Students will gain analytics competencies….
Managing hospital growth involves unwavering focus on patient experience, requires thorough understanding of a hospital customer and how to customize and optimize hospital offerings….
Organizational boundaries being porous, fungible and extendable as resourcing models extend to encompass the gig-economy, the threat surface and cyber security threat vectors are….
The Post Graduate Diploma in Data Science program at Praxis Business School is a cutting-edge and comprehensive educational offering designed to prepare students for a successful career in the field of data science and analytics…..
Digital and social media have transformed everything from conceptualizing to creating to communicating. Tesla spends next to nothing on advertising, unlike its rivals. Users and fans have built the Tesla brand. ITC’s Classmate allows the user to design a notebook cover of one’s choice. Snickers realized that hungry people make spelling mistakes while typing.
The postgraduate Master of Computer Applications (MCA) program concentrates on information technology, software development, and computer science. It provides extensive expertise in computer networks, software engineering, database administration, and programming.
Data Collection and Integration: Learning how to gather and integrate data from various sources, including databases, APIs, and streaming data.
Course duration includes 6 Months + Preparatory Session
Recommended learning efforts for the course is 7 – 10 hrs per week