Certified Data Analyst with AI Applications: Master AI

Evolve from Operator to Architect: Master Strategic SQL, AI-Driven Visualisation, and Automated Analytics Pipelines

What you’ll learn
Master Data Analytics fundamentals and real-world business use cases
Analyze data using Excel, SQL, and Python
Apply Statistics & EDA to derive meaningful insights
Build professional dashboards and reports
Use AI tools (ChatGPT & GenAI) to speed up analysis and decision-making
Prepare for Data Analyst interviews & certifications

Requirements
Basic computer knowledge (no coding background required)
Willingness to learn and practice with real datasets

Description
“This course contains the use of artificial intelligence.”Unlock the Strategic Power of AI in Data AnalysisAre you ready to navigate the paradigm shift from a traditional data operator to a high-level data architect? This comprehensive programme, Certified Data Analyst with AI Applications: Master AI, goes beyond basic syntax to teach you the strategic frameworks, modern architecture, and psychological principles required to lead in the age of Large Language Models (LLMs).What You Will Learn:• The Strategic AI Mindset: Understand the modern AI data stack and the evolution of analytics. You will dive into the linguistic theory behind prompt engineering and navigate critical ethical considerations, including bias, hallucinations, and risk.• Advanced Data Architecture & Preparation: Master the theory of data cleaning and taxonomy of errors, while learning to design automated pipelines and data privacy architectures. We include a theoretical walkthrough of cleaning a massive 10TB dataset.• Strategic SQL & Logic: Revisit relational theory in the age of LLMs and visualise set theory to master the logic of joins. You will also learn query optimisation strategies and how to design a robust warehouse schema.• The Psychology of Visualisation: Move past basic charts by applying Cognitive Load Theory and storytelling frameworks (Situation-Complication-Resolution) to your dashboards. Learn how to utilise AI-assisted design systems to create executive-level KPI dashboards.• Automated EDA & Statistical Intuition: Gain the statistical essentials you actually need and leverage AI for automated exploratory analysis and outlier detection. Learn to distinguish correlation from causation and generate insight reports efficiently.• Machine Learning Concepts for Analysts: Demystify ML without complex mathematics. You will cover regression for predicting numbers, classification for churn analysis, and clustering for customer grouping.• Future Trends & Career Strategy: Prepare for the future with modules on autonomous data agents and continuous learning. The course concludes with a theoretical capstone project—covering problem definition, solution architecture, and result interpretation—and a career roadmap to position yourself as an AI Data Strategist.Who This Course Is For: This course is designed for data professionals seeking to elevate their careers by integrating AI into their workflows, moving beyond rote execution to strategic problem-solving and architecture design.

Who this course is for
Freshers and students aspiring to become Data Analysts
Working professionals looking to switch to Data Analytics
IT professionals wanting to add AI skills to analytics
Business professionals who want to make data-driven decisions