Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise (TTDS6000)

About This Course:

This course serves as an ideal primer, offering a valuable kickstart for individuals new to data science, whether they aim to apply foundational concepts in their current role, engage in informed discussions, or pursue advanced training to launch their data science career. You'll exit the class with a solid understanding of these technologies to a conversant level, able to participate in strategic decisions surrounding data science skills. A highlight of the course will be our demo of a custom Retrieval Augmented Generation (RAG) based GPT solution, demonstrating how advanced AI techniques align with various data-oriented business roles and processes, providing insights into the latest technologies driving modern data strategies.

Course Objectives:

• The essentials of data collection and cleansing, recognizing their role as the foundation for insightful analytics.

• The dynamics of data visualization, and how well-crafted visuals aid in decision-making and idea communication.

• A high-level overview of machine learning, exploring its ability to identify patterns and forecast trends for informed business strategies.

• The fundamentals of big data technologies, understanding their capacity to manage and analyze extensive information for business leverage.

• The significance of data-driven insights in steering strategic, informed actions and nurturing a data-aware business culture.

• The framework of data teams, appreciating the collaborative synergy among data scientists, analysts, and engineers in driving data initiatives.

• Key programming languages and tools used in data science, acknowledging their role in effective project execution and team communication.

Audience:

• This introductory-level course is geared for tech professionals who wish to integrate data-driven strategies into their business operations. Ideal roles include business analysts, project managers, and department heads who aim to understand the impact of data science in decision-making and strategy formulation. The course is also suited to IT professionals and aspiring data analysts looking to familiarize themselves with the foundational concepts and tools of data science, setting the stage for further specialized training.

Prerequisites:

• Basic Understanding of Data Concepts: Participants should have a basic understanding of data and its importance in business contexts, including familiarity with common data types and simple data manipulation. 

• Fundamental Analytical Skills: A basic proficiency in analytical thinking and problem-solving, enabling participants to follow along with data analysis concepts and techniques presented during the course. 

• Familiarity with Business Operations: An understanding of general business operations and processes, as this will help in relating data science concepts to practical business applications and decision-making scenarios.