Post Graduate Diploma in Data Science
The Post Graduate Diploma in Data Science (PGD in Data Science) at the International 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.
- Statistical Data Analysis – Learn how to apply statistical methods to analyze data and make informed business decisions.
- Machine Learning Techniques – Gain expertise in machine learning algorithms and their applications for predictive analytics and pattern recognition.
- Big Data Technologies – Understand and work with big data platforms like Hadoop and Spark to manage and analyze large-scale datasets.
- Data Visualization – Develop skills in data visualization tools like Tableau and Power BI to effectively communicate insights from data.
- Programming for Data Science – Master programming languages such as Python and R for data manipulation, analysis, and model development.
- Data-Driven Decision Making – Learn how to interpret data and apply it in real-world business scenarios to drive strategic decisions.
- Data Scientist – Analyze and interpret large datasets, creating models and algorithms to solve complex problems and predict outcomes.
- Data Analyst – Examine data to identify trends, patterns, and insights that inform business strategies and improve performance.
- Machine Learning Engineer – Build and implement machine learning models for automating tasks and improving business processes.
- Business Intelligence Analyst – Utilize data to provide insights that help organizations improve decision-making and identify growth opportunities.
- Big Data Engineer – Design, develop, and maintain big data infrastructures and frameworks for processing massive datasets.
- Data Visualization Specialist – Create interactive visualizations to present complex data in a simple, understandable format for decision-makers.
- Introduction to Data Science
- Python Programming
- Data Wrangling and Visualization
- Machine Learning for Data Science
- Big Data Technologies
- Business Intelligence and Data Analytics