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Home > Courses > NU Postgraduate Diploma > Post-Graduate Diploma in Data Analytics
Post-Graduate Diploma in Data Analytics
Your Gateway to Achieving Greatness in Data Analytics Careers!
The Post-Graduate Diploma in Data Analytics equips students with practical skills to collect, process, analyze, and interpret data for informed decision-making. Covering data visualization, statistical analysis, spreadsheet tools, database management, and business intelligence, the program prepares learners for careers such as Data Analyst, Business Intelligence Analyst, and Reporting Analyst. With a focus on practical projects and industry-relevant tools, the program also supports opportunities in freelancing, consulting, and entrepreneurship.
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Acquire a skill and become job-ready with professional certifications
- 40 Credit Hours
- 12 Months
- 10 Subjects
- Instructor-Led
- On-Campus
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- Industry-Relevant Insights and Tools
- Develop skills for real career growth
- Learn from experts and industry practitioners
- Develop skills for real career growth
- Learn from experts active in their field
- Learn by working on real-world problems
- Structured guidance ensuring continuous learning
The Post-Graduate Diploma in Data Analytics introduces students to the essential concepts, techniques, and tools used to transform raw data into meaningful insights. The program covers data collection, data cleaning, spreadsheet-based analysis, database fundamentals, statistical methods, data visualization, business intelligence, and analytical reporting.
Data Analytics is the process of examining data to identify patterns, understand trends, solve problems, and support evidence-based decisions. Organizations across industries use data analytics to improve performance, understand customer behavior, optimize operations, and identify new business opportunities.
Through practical exercises, case studies, and project-based learning, students develop the ability to work with datasets, interpret analytical findings, and communicate insights effectively. The program aims to build technical, analytical, and problem-solving skills that can be applied in business, finance, marketing, development organizations, research, and other professional fields.
Benefits of Earning a Diploma in Data Analytics:
A diploma in Data Analytics helps learners develop the skills required to interpret data and turn information into actionable business insights. Students gain practical experience in organizing datasets, identifying trends, creating reports, and presenting findings to support decision-making.
The program helps learners strengthen their analytical thinking, problem-solving, and communication skills while developing familiarity with commonly used data analysis and visualization tools. These competencies can support career opportunities in business operations, finance, marketing, research, information technology, and other data-driven sectors.
The diploma can also help graduates and working professionals enhance their existing qualifications, pursue career advancement, and explore opportunities in consulting, freelancing, and independent analytical projects.
The program emphasizes practical learning and industry-relevant competencies to help students prepare for evolving workforce demands.
Data Analytics is the process of examining data to identify patterns, understand trends, solve problems, and support evidence-based decisions. Organizations across industries use data analytics to improve performance, understand customer behavior, optimize operations, and identify new business opportunities.
Through practical exercises, case studies, and project-based learning, students develop the ability to work with datasets, interpret analytical findings, and communicate insights effectively. The program aims to build technical, analytical, and problem-solving skills that can be applied in business, finance, marketing, development organizations, research, and other professional fields.
Benefits of Earning a Diploma in Data Analytics:
A diploma in Data Analytics helps learners develop the skills required to interpret data and turn information into actionable business insights. Students gain practical experience in organizing datasets, identifying trends, creating reports, and presenting findings to support decision-making.
The program helps learners strengthen their analytical thinking, problem-solving, and communication skills while developing familiarity with commonly used data analysis and visualization tools. These competencies can support career opportunities in business operations, finance, marketing, research, information technology, and other data-driven sectors.
The diploma can also help graduates and working professionals enhance their existing qualifications, pursue career advancement, and explore opportunities in consulting, freelancing, and independent analytical projects.
The program emphasizes practical learning and industry-relevant competencies to help students prepare for evolving workforce demands.
Course Objective
- Understand the fundamental concepts and applications of Data Analytics
- Collect, organize, clean, and prepare data for analysis
- Apply spreadsheet functions and analytical techniques to interpret datasets
- Understand basic statistical concepts and their applications in data analysis
- Use data visualization techniques to communicate findings clearly
- Develop dashboards, charts, and analytical reports to support decision-making
- Understand database concepts and retrieve relevant information from datasets
- Identify trends, patterns, and relationships in data
- Apply analytical thinking to practical business and organizational problems
- Present data-driven insights and recommendations to relevant stakeholders
What you'll learn
The syllabus is designed to provide skill-based education to students and aspiring professionals who want to develop practical analytical capabilities and prepare for careers in data-driven environments.
By completing the program, students will be able to:
By completing the program, students will be able to:
- Understand the data analytics lifecycle, from data collection to interpretation and reporting
- Organize, clean, validate, and prepare datasets for analysis
- Use spreadsheet tools and formulas to perform data calculations and analysis
- Apply basic statistical methods to identify patterns and trends
- Understand database fundamentals and data retrieval concepts
- Create charts, dashboards, and visual reports to communicate analytical findings
- Interpret data to support business planning and operational decisions
- Identify relevant performance indicators and evaluate organizational performance
- Communicate insights through clear reports, presentations, and visualizations
- Apply analytical and problem-solving skills to practical projects and case studies
- Build a foundation for further learning in business intelligence and advanced analytics
- Develop professional, managerial, and communication skills for data-related roles
Learning Path
Semester 01 - 20 Credits
Credits : 4
Course Overview and Context:
This course is designed to provide students with knowledge of cybercrime and theoretical approaches to studying cybercrime.
Course Outcomes:
Course Overview and Context:
This course is designed to provide students with knowledge of cybercrime and theoretical approaches to studying cybercrime.
Course Outcomes:
- Understand forms of cybercrime and their impact on society
- Develop their knowledge about the causation of cybercrime
- Better understand the strategies and policies in relation to fighting cybercrime
Credits : 4
Course Overview and Context:
This course aims to introduce the students to the basic ideas on cryptography, cryptanalysis, and data protection techniques and develop a working knowledge.
Course Outcomes:
Course Overview and Context:
This course aims to introduce the students to the basic ideas on cryptography, cryptanalysis, and data protection techniques and develop a working knowledge.
Course Outcomes:
- Gain basic knowledge of cryptography, cryptanalysis, and data security required to work with IT systems
- Gain hands-on experience in securing systems from different types of cyber-attacks
- Develop skills in risk analysis and risk management in IT systems
- Understand the importance of privacy and its practices in real-life situations
- Gain knowledge of intrusion detection and prevention systems
- Understand ISO/IEC 27001 guidelines
Credits : 4
Course Overview and Context:
By the end of this course, the students will be fully aware of the wired and wireless computer networks basics, devices, network-based vulnerabilities, and protocols at a step-by-step pace.
Course Outcomes:
Course Overview and Context:
By the end of this course, the students will be fully aware of the wired and wireless computer networks basics, devices, network-based vulnerabilities, and protocols at a step-by-step pace.
Course Outcomes:
- Identify the factors driving the need for network security
- Identify and classify different examples of cyber-attacks
- Define vulnerability, threat, and attack
- Identify physical points of vulnerability in simple networks
- Compare symmetric and asymmetric encryption systems and their vulnerability to attacks
- Explain the characteristics of hybrid encryption systems
Credits : 4
Course Outcomes:
Course Outcomes:
- Gain comprehensive knowledge of cyber-related laws
- Understand cyber policies and strategies
- Develop a better understanding of the application, investigation, and punishments under relevant acts
- Apply strategies according to relevant legal principles
Credits : 4
Course Overview and Context:
The course will cover various aspects of cybercrime investigation as well as forensic digital evidence and evidence management. Both theoretical orientation and technical know-how in relation to cybercrime investigation will be explored.
Learning Outcomes:
The students will gain a better understanding of cybercrime investigation and digital forensic after the completion of this course. It will enable them to better utilize their knowledge in conducting a digital investigation in their area of work. This course aims at helping to improve the cybercrime investigation of the private entity, law enforcement agencies, the regulators, and others concerned.
Course Overview and Context:
The course will cover various aspects of cybercrime investigation as well as forensic digital evidence and evidence management. Both theoretical orientation and technical know-how in relation to cybercrime investigation will be explored.
Learning Outcomes:
The students will gain a better understanding of cybercrime investigation and digital forensic after the completion of this course. It will enable them to better utilize their knowledge in conducting a digital investigation in their area of work. This course aims at helping to improve the cybercrime investigation of the private entity, law enforcement agencies, the regulators, and others concerned.
Semester 02 - 20 Credits
Credits : 4
Course Overview and Context:
This course will explore Social Media and Networks in a new light so as to make the participants understand what social media and social networks are, how they work, how to protect right to digital privacy, how to recognize and prevent an intrusion or invasion of privacy, what’s considered a reasonable expectation of privacy, how to determine who lawfully owns a social media account, what types of information others can prevent you from sharing online, what the potential dangers are involved, relevant laws safeguarding privacy online, etc.
Course Outcomes:
Course Overview and Context:
This course will explore Social Media and Networks in a new light so as to make the participants understand what social media and social networks are, how they work, how to protect right to digital privacy, how to recognize and prevent an intrusion or invasion of privacy, what’s considered a reasonable expectation of privacy, how to determine who lawfully owns a social media account, what types of information others can prevent you from sharing online, what the potential dangers are involved, relevant laws safeguarding privacy online, etc.
Course Outcomes:
- Understand what social media and social networks are, how they work, and how to make the best use of them
- Understand digital privacy rights and how to recognize and prevent privacy intrusions
- Understand reasonable expectations of privacy and determine lawful ownership of social media accounts
- Identify the types of information others may prevent from being shared online
- Understand reckless misconduct on social media and use social media without violating laws
- Use social media without infringing on intellectual property rights
- Understand social media policies for businesses and corporate social media policy examples
Credits : 4
Course Overview and Context:
This course aims to introduce the students to gain a solid understanding of risk management principles, processes, frameworks and techniques that can be applied specifically to cyber security as well as risk in general.
Course Outcomes:
Course Overview and Context:
This course aims to introduce the students to gain a solid understanding of risk management principles, processes, frameworks and techniques that can be applied specifically to cyber security as well as risk in general.
Course Outcomes:
- Develop an understanding of cyber risk and how it can be managed
- Learn how to create a cyber risk management framework within an organization
- Identify, assess, and articulate risks and determine appropriate risk treatment options
- Perform detailed risk analysis and develop risk treatment plans
- Apply risk management concepts in practice, including developing risk registers, governance models, risk bowties, and reporting
Credits : 4
Course Overview and Context:
This course will explain the most probable forms of cyber-terrorism and information security threats and attacks, the definitions of these threats and attacks, how the attacks take place, and the most effective ways to combat these threats from a Cyber Security Practitioner’s point of view. Both theoretical orientation and technical know-how in relation to Cyber Terrorism and Threat Management will be explored.
Learning Outcomes:
Upon successful completion, the course takers will be able to better understand the underlying reasons and various forms of Cyber Terrorism as well as ins and outs of Threat Management. As such, the course takers will be better equipped with the knowledge to identify specific types of attacks and take preventive or remedial measures whichever is necessary. Overall, this course will enhance the course taker’s knowledge to effectively reduce the IT infrastructure vulnerability and cyber-attack threats to individuals as well as organizations.
Course Overview and Context:
This course will explain the most probable forms of cyber-terrorism and information security threats and attacks, the definitions of these threats and attacks, how the attacks take place, and the most effective ways to combat these threats from a Cyber Security Practitioner’s point of view. Both theoretical orientation and technical know-how in relation to Cyber Terrorism and Threat Management will be explored.
Learning Outcomes:
Upon successful completion, the course takers will be able to better understand the underlying reasons and various forms of Cyber Terrorism as well as ins and outs of Threat Management. As such, the course takers will be better equipped with the knowledge to identify specific types of attacks and take preventive or remedial measures whichever is necessary. Overall, this course will enhance the course taker’s knowledge to effectively reduce the IT infrastructure vulnerability and cyber-attack threats to individuals as well as organizations.
Credits : 4
Course Overview and Context:
The course will emphasize the understanding of economic/financial crime and financial cybercrime. Specific attention has been made in the context of Bangladesh as well as other developed countries.
Course Outcomes:
Course Overview and Context:
The course will emphasize the understanding of economic/financial crime and financial cybercrime. Specific attention has been made in the context of Bangladesh as well as other developed countries.
Course Outcomes:
- Understand, analyze, and evaluate financial cybercrime and its management from different perspectives
- Identify different types of financial cybercrime and threats in the context of Bangladesh
- Understand contemporary issues related to financial cybercrime and relevant management policies and strategies
Credits : 4
Course Overview and Context:
The capstone project/internship is usually the final assignment which plays a vital role in providing students with hands-on experiences on all the aspects cyber security which have been taught throughout the course tenure.
Course Outcomes:
Course Overview and Context:
The capstone project/internship is usually the final assignment which plays a vital role in providing students with hands-on experiences on all the aspects cyber security which have been taught throughout the course tenure.
Course Outcomes:
- Demonstrate a comprehensive understanding of Cyber Operations and its key concepts
- Identify different threat actors and their motivations in cyberspace
- Analyze how information system security design, policies, practices, networks, and people defend against cyber threats
- Evaluate the effects of laws and gaps in legal guidance and precedent on activities in cyberspace
- Apply critical thinking, reasoning, problem-solving, analysis, and evaluation strategies in Cyber Operations
- Analyze and synthesize theoretical and practical concepts within the field of Cyber Operations
- Critically review and evaluate the application of selected theories to practical, real-world situations
Career Opportunity
- Data Analyst
- Junior Data Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Business Analyst
- Research Data Assistant
- Marketing Data Analyst
- Operations Analyst
- Financial Data Analyst
- MIS Executive
- Data Visualization Analyst
- Database Reporting Assistant
- Performance Analyst
- Freelance Data Analyst
- Data Analytics Consultant
- Entrepreneur
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Frequently Asked Questions
Data Analytics is the process of examining and interpreting data to identify patterns, measure performance, and support informed decisions. It helps organizations understand customers, improve efficiency, identify opportunities, and solve business problems.
The program emphasizes practical data handling, spreadsheet analysis, statistical concepts, visualization, reporting, and project-based learning. These skills help students understand datasets and communicate useful findings in professional settings.
Graduates may pursue opportunities in data analysis, business intelligence, reporting, research support, marketing analytics, operations, and management information systems, depending on their skills and experience.
Project work allows students to apply analytical concepts to practical problems, organize and interpret data, develop reports, and present findings. An internship, where available, can provide additional exposure to professional working environments.
Data Analytics can be relevant to graduates from business, social sciences, economics, science, information technology, and other disciplines. However, applicants must meet the official academic eligibility criteria specified by National University and CodersTrust College for the program.


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