CERTIFICATES

This module will introduce the basics of data science, unraveling insights from data using diverse methods and tools. Role of data science in decision-making, showing how it empowers individuals and organizations to make informed choices based on thorough data analysis. We'll delve into the data science lifecycle together, walking you through the essential steps of collecting, cleaning, analyzing, and interpreting data.

This module focuses on the critical phases of data collection and preparation within the realm of data science. the students will delve into the intricacies of sourcing and gathering data from various repositories and formats. Understanding the importance of data quality and explore techniques for cleaning, organizing, and transforming raw data into a usable format.

This module bridges the gap between data collection and insightful analysis techniques within the expansive field of data science. Students will explore a diverse array of data analysis techniques, gaining proficiency in leveraging these methods to extract meaningful insights from gathered data. Understanding the significance of structured analysis, the module will delve into the creation and optimization of data pipelines.

This module is dedicated to the art and science of data visualization, a crucial skill in the data science toolkit. Students will explore the power of visual representations in conveying complex information effectively. Understanding the importance of compelling visualizations, the module will delve into various tools and techniques used to create impactful visuals from datasets.

In this module, students will be introduced to the dynamic realm of Business Intelligence (BI). They'll explore how BI encompasses technologies, strategies, and practices used to gather, analyze, and convert raw data into actionable insights for businesses.

In this module, students will dive into the diverse landscape of Business Intelligence (BI) tools that empower data-driven decision-making within organizations. They'll explore a spectrum of BI tools available in the market, ranging from robust analytics platforms to user-friendly visualization software.

In this module, students will embark on an exploration of the foundational concepts of Big Data, uncovering its significance in today's data-driven landscape. They'll delve into the characteristics that define Big Data—volume, velocity, variety, veracity, and value—and understand how these aspects distinguish it from traditional data sources. Students will grasp the technologies and frameworks designed to handle immense volumes of data, such as Hadoop, Spark, and NoSQL databases.

In this module, students will delve into the real-world applications of Data Science (DS), Business Intelligence (BI), and Big Data, gaining insights into their distinct roles and applications in various industries. They will explore practical case studies and scenarios showcasing how DS, BI, and Big Data are employed in different domains.

In this module, students will explore the critical ethical considerations surrounding data science, business intelligence, and big data practices. They'll delve into the ethical challenges that arise from the collection, analysis, and utilization of vast amounts of data.