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Programmes
Overview
The Executive PGDM in Business Analytics programme is designed to provide students with a comprehensive understanding of data analytics and its applications in various industries. The programme is aimed at working professionals who wish to enhance their skills and knowledge in data analytics and advance their careers. The programme is to be conducted over a period of 1 year and covers a wide range of topics related to data analytics and business intelligence.
The programme has several objectives, including:
- To provide students with a strong foundation in statistics, data mining, and predictive modelling.
- To develop students' skills in using analytical tools and software, such as Excel, R, and Python.
- To provide students with practical experience in using data analytics to solve real-world business problems, through hands-on projects and case studies.
- To equip students with the skills and knowledge needed to manage data analytics projects, including project planning, data collection, analysis, and reporting.
- To prepare students for leadership roles in data analytics, by developing their critical thinking, problem-solving, and decision-making skills.
- To enhance students' career prospects by providing them with a competitive edge in the job market, and by preparing them for roles such as data analysts, business analysts, and data scientists.
- To foster a culture of innovation and entrepreneurship, by encouraging students to develop new analytics solutions and applications.
The programme covers a wide range of topics related to data analytics, including data visualization, machine learning, data warehousing, data mining, and big data analytics. Students will also learn about the ethical and legal issues related to data analytics, such as privacy, security, and intellectual property. The Executive PGDM in Business Analytics programme is designed to provide students with a comprehensive understanding of data analytics and its applications in various industries, and to equip them with the skills and knowledge needed to succeed in today's data-driven business environment.
Course Duration
Twelve Months
Commence of the course
Course Duration
Mode of Study
Eligibility
- A Minimum of 50% in graduation or equivalent
- A Minimum of 2 years of full-time work experience
PROGRAMME OUTCOMES
- Advanced analytical skills: Students will gain advanced skills in statistical analysis, data mining, predictive modeling, and data visualization. They will be able to use analytical tools and software, such as Excel, R, and Python, to analyze large datasets and derive meaningful insights.
- Practical experience: Through hands-on projects and case studies, students will gain practical experience in using data analytics to solve real-world business problems. They will be able to apply their analytical skills to a range of industries and business functions.
- Project management skills: Students will develop project management skills, including project planning, data collection, analysis, and reporting. They will be able to manage data analytics projects from start to finish, ensuring that projects are delivered on time and within budget.
- Leadership skills: The programme will help students develop leadership skills, including critical thinking, problem-solving, and decision-making. They will be able to lead data analytics teams and make strategic decisions based on data insights.
- Career advancement: The programme will enhance students' career prospects by providing them with a competitive edge in the job market. Graduates will be well-equipped for roles such as data analysts, business analysts, and data scientists, and will be able to take on leadership roles in the field of data analytics.
- Innovative thinking: The programme will foster a culture of innovation and entrepreneurship, encouraging students to develop new analytics solutions and applications. Graduates will be able to think creatively and innovatively to solve complex business problems.
The Executive PGDM in Business Analytics programme will provide students with the skills and knowledge needed to succeed in today's data-driven business environment and will prepare them for leadership roles in the field of data analytics.
What you’ll learn
- Microsoft Excel
- R Software
- Python & Python libraries - NumPy, Pandas, and Scikit-Learn
- Tableau
- SQL (Structured Query Language)
- Hadoop
- Apache Spark
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