Neural Networks for Data Analysis and Reporting

Data professionals spend hours cleaning datasets and writing repetitive formulas or queries. By integrating modern neural networks and artificial intelligence into your workflow, you can automate these tedious tasks and focus on strategic decision-making. This text-based course guides you from the absolute basics of neural networks to practical workflows for data analysis. You will understand how large language models process data and learn to use them to accelerate your analytical tasks, from writing SQL queries to summarizing complex reports. What you'll learn: - Understand the core concepts of neural networks, large language models, and how they interpret structured and unstructured data. - Apply modern prompt engineering techniques specifically optimized for data manipulation and analysis. - Clean and prepare messy datasets using AI-assisted scripts and modern data tools. - Generate and debug SQL queries, Excel formulas, and Python data analysis code using AI assistance. - Extract key insights and automate the drafting of comprehensive analytical reports. - Practice zero-shot and few-shot learning techniques to classify text and analyze sentiment in customer data. The course begins with foundational definitions and key AI concepts before moving step-by-step through real-world data preparation, analysis, and reporting scenarios. You will read clear explanations and work through practical written exercises designed to build your confidence. This program is designed for beginners, data analysts, business analysts, and office professionals looking to modernize their skills, with no prior programming or machine learning experience required. Start reading today to transform your data workflow with the power of artificial intelligence.