AI-Powered Quantitative Analysis: ChatGPT, Julius, Python, and Data Privacy Tips скачать в хорошем качестве

AI-Powered Quantitative Analysis: ChatGPT, Julius, Python, and Data Privacy Tips

Learn how AI tools like ChatGPT and Julius AI can assist in analyzing quantitative data. This video covers the basics of using AI for statistical analysis, including privacy concerns, best practices for protecting participant data, and tips on using tools like Python and R for effective data analysis. Watch as we explore descriptive and inferential statistics, sample data from platforms like Kaggle, and how to generate synthetic data for research purposes. Here is the link: https://julius.ai/?via=philp (Affiliate link) PowerPoint slides: https://chipper-trader-8601.ck.page/9... Affiliate links Descript: https://get.descript.com/l9hgfy5ojsxr Descript AI is a powerful all-in-one content creation and editing platform that leverages artificial intelligence to streamline audio and video production workflows Originality.ai: https://originality.ai/ai-checker?via... Originality.ai is a powerful tool designed to detect AI-generated content and check for plagiarism. Atlas.ti: https://atlasti.com/?x-clickref=1011l... Promo Code: drphilipadu20 Atlas.ti is a powerful qualitative data analysis software used by researchers across various disciplines. Consensus https://bit.ly/consensusai Discount code (for 20% OFF): PHILIP20 Consensus is an AI-powered search engine designed specifically for academic research. Julius https://julius.ai/?via=philp (Affiliate link) Julius AI is an advanced data analysis and visualization tool designed to simplify complex data tasks. Ailyze promocode: Adu30 for 30% OFF! Don't miss out on this game-changing tool for researchers. https://www.ailyze.com/ Ailyze is an AI-powered tool designed for qualitative research and data analysis. YouTube Chapters: 00:00 - Introduction to AI for Quantitative Analysis 00:22 - Why Use ChatGPT for Statistical Analysis? 01:01 - How ChatGPT and Python Work Together 01:52 - Data Privacy Concerns & Participant Protection 04:00 - Comparing ChatGPT and Julius AI 06:00 - Understanding Descriptive Statistics 07:14 - Introduction to Inferential Statistics 08:11 - Data Sources: Kaggle & Synthetic Data 10:35 - Overview of Statistical Concepts: Cases, Variables, and Values 13:04 - Using AI for Descriptive Statistics: Age & Gender Data 20:00 - Exploring Julius AI's Analysis Features 24:03 - Transforming Qualitative Data with AI 26:50 - Conducting Correlation Analysis with ChatGPT 28:23 - Conclusion: AI’s Role in Future Data Analysis