Essential AI Tools for Data Science & Productivity
Whether you’re looking to accelerate your data workflows, automate complex analytical tasks, or build modern AI-powered applications, this course equips you with hands-on skills in today's leading artificial intelligence tools. Learn how to leverage Large Language Models (LLMs), advanced prompt engineering, AI coding assistants, automated research tools, and agentic workflows to supercharge your technical productivity—without needing expensive enterprise licenses.
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What you’ll learn
- LLMs & Prompt Engineering: Master advanced techniques in ChatGPT, Claude, and Gemini to generate Python scripts, write SQL queries, and synthesize complex technical documents.
- AI Code Assistants & Editors: Accelerate software and model development using GitHub Copilot and Cursor for intelligent code completion, refactoring, and debugging.
- AI-Driven Data Research: Utilize tools like Perplexity AI and NotebookLM to extract, summarize, and cite insights from technical papers and large PDF datasets.
- Automated Dashboarding & BI: Build natural-language data visualizations and automated reporting workflows using free-tier AI analytics tools.
- Intro to AI Agents & Workflows: Connect multi-step workflows using tools like Zapier AI, LangChain, and open-source agent frameworks to automate repetitive analytical tasks.
This course includes
Course Overview
24 Lectures · 36 hrs total length
- Foundations of AI & Advanced Prompt Engineering for Analysts
- AI Code Generation & Debugging (ChatGPT, Claude & Cursor)
- Automated Technical Research & Literature Reviews (Perplexity & NotebookLM)
- Conversational Analytics & Data Visualization with AI
- Building Autonomous Workflows & AI Agents for Productivity
Requirements
- Prerequisites: None. This course is designed for complete beginners, students, & career-switchers.
- Learning Materials: Comprehensive lessons, downloadable prompt cheat-sheets, and workflow templates are included; no paid software subscriptions required.
- Commitment to Practice: A passion for learning and the dedication to turn theory into practice.
Who should take this course
- Aspiring Data Scientists & Analysts wanting to integrate modern AI assistants into their daily coding and modeling routines.
- Students & Fresh Graduates looking to gain a competitive edge in technical job interviews by mastering cutting-edge productivity stack tools.
- Software Developers & Engineers seeking to leverage AI pair-programmers to write cleaner code and debug faster.
- Business Intelligence Professionals aiming to automate report summaries, document extraction, and visual dashboards.
- Tech Enthusiasts & Entrepreneurs who want to build autonomous AI workflows to optimize personal and business operations.
- Anyone looking to future-proof their career by mastering the top open-source and free AI productivity tools available today.