Application and Document Submission
Fill the application form and submit/post it to any ISBM centre. Include attested photocopies of mark sheets, two latest photographs, and work experience certificate(s).
The Post Graduate Diploma in Data Science (PGD in Data Science) at the Indian School of Technology and Management (ISTM) is designed to provide students with a comprehensive understanding of data science techniques, tools, and methodologies. This program equips students with the skills needed to handle vast amounts of data, analyze it for actionable insights, and make data-driven decisions. Key areas of study include statistical analysis, machine learning, big data technologies, data visualization, and predictive modeling. Students gain hands-on experience working with real-world data sets and utilizing popular data science tools such as Python, R, and SQL, preparing them for various roles in data-centric industries.
At ISTM, the PGD in Data Science offers a blend of theoretical knowledge and practical applications. Students participate in industry projects and case studies, allowing them to tackle real-world business challenges through data analysis. Whether students are looking to enhance their data literacy or transition into the field of data science, this program prepares them to be competitive in todays data-driven world.
Learn how to apply statistical methods to analyze data and make informed business decisions.
Gain expertise in machine learning algorithms and their applications for predictive analytics and pattern recognition.
Understand and work with big data platforms like Hadoop and Spark to manage and analyze large-scale datasets.
Develop skills in data visualization tools like Tableau and Power BI to effectively communicate insights from data.
Master programming languages such as Python and R for data manipulation, analysis, and model development.
Learn how to interpret data and apply it in real-world business scenarios to drive strategic decisions.
Analyze and interpret large datasets, creating models and algorithms to solve complex problems and predict outcomes.
Examine data to identify trends, patterns, and insights that inform business strategies and improve performance.
Build and implement machine learning models for automating tasks and improving business processes.
Utilize data to provide insights that help organizations improve decision-making and identify growth opportunities.
Design, develop, and maintain big data infrastructures and frameworks for processing massive datasets.
Create interactive visualizations to present complex data in a simple, understandable format for decision-makers.