LSU Data Bootcamp

• Develop essential SQL skills to query, clean, and manage data stored in relational databases.
• Build a strong understanding of database structures, write complex queries involving joins and window functions.
•  Learn how to extract actionable insights from structured datasets used across business operations.

• Understand how raw data is transformed into meaningful analytical outputs by mastering ETL workflows.
• Learn data extraction, cleaning, normalization, and loading techniques using modern cloud-based tools.
• Gain hands-on experience with AWS Glue to build scalable, automated data pipelines used in enterprise analytics.

• Convert complex datasets into clear, interactive dashboards using Tableau.
• Learn how to prepare and model data, design compelling visualizations, and apply advanced analytics features.
• Focus on building executive-ready dashboards that simplify insights and support strategic decision-making across teams.

• Build a strong programming foundation with Python, the most widely used language in data analytics.
• Learn essential concepts such as data types, loops, functions, and data structures.
• Develop the coding confidence required to manipulate data, automate tasks, and prepare for advanced analytics with Python.

• Advance your analytics capabilities by applying Python to clean, analyze, and model data.
• Use powerful libraries like NumPy, Pandas, and Matplotlib to perform exploratory analysis, build visualizations, and uncover patterns.
• Learn regression modeling, time series analysis, and introductory supervised and unsupervised learning techniques to solve real-world analytical problems.

• Gain a foundational understanding of Generative AI and Large Language Models (LLMs) and how they enhance modern analytics.
• Learn prompt engineering strategies, explore AI-assisted problem-solving, and use tools like ChatGPT to accelerate exploratory analysis, documentation, and insights generation while maintaining ethical and responsible AI use.

• Leverage Generative AI to automate and accelerate complex analytics tasks.
• Integrate tools such as ChatGPT, Gemini, and Claude into your workflow to streamline ETL processes, generate visualization and report drafts, and enhance data storytelling.
• Learn how AI can boost productivity, improve decision quality, and support end-to-end analytics delivery.

Develop the judgment and responsibility required to handle data ethically in professional environments.

Discover privacy standards, regulatory frameworks, and best practices for handling data fairly.

Understand concepts like bias, transparency, and responsible AI usage to ensure ethical decision-making in every step of the analytics process.

Build a real-world analytics solution using Excel, SQL, ETL, Python, Tableau, and GenAI.

Clean, analyze, and visualize data to deliver clear insights and a portfolio-ready project showcasing your end-to-end analytical skills.