Institute of Corporate and Taxation (ICT) proudly offers the AI Data Analyst Certification Course designed for aspiring data professionals in Pakistan. This hands-on course trains you in using AI tools and techniques for data collection, cleaning, analysis, and visualization. Learn to work with Excel, Power BI, Python, and AI-driven platforms to generate business insights and make data-driven decisions in real-world scenarios.






Participants will gain practical experience in handling structured and unstructured datasets, automating workflows with AI tools, and creating interactive dashboards and reports. The course also covers essential concepts like data modeling, machine learning basics, and real-time analytics applications in business. Whether you’re aiming to start a career in data analytics, enhance your current skill set, or support business decision-making with data insights, this course equips you with industry-relevant tools and knowledge for immediate impact.
Discover the advantages of this course and how it can help you achieve your professional goals, expand your expertise, and create new career opportunities.
Industry-Relevant, In-Demand Skills :Learn Excel, Power BI, Python, and AI tools to analyze data, create visuals, and automate tasks for in-demand jobs.
Career Opportunities Across Multiple Sectors : This certification prepares you for entry- and mid-level data analyst roles across finance, marketing, healthcare, e-commerce, and more, locally and internationally.
Practical, Hands-On Training : Get hands-on experience with projects and case studies, learning to clean, analyze, and present data using AI to solve real business problems.
Ideal for Freelancers, Professionals & Students : Whether upskilling, switching careers, or starting in analytics, this course provides a solid foundation with job-ready tools and techniques.




Learn the fundamentals of data analysis, machine learning, and AI, along with the roles of an AI Data Analyst—a strong base for AI-driven analytics.
Learn to collect data from APIs, websites, and databases, and clean it using Python, Excel, and Power Query, preparing it for meaningful analysis.
Gain hands-on experience with supervised and unsupervised learning, learning how clean, structured data supports ML models—bridging analysis with practical AI.
Use Python with Pandas and Matplotlib to analyze data, spot trends, and gain insights.
Build dashboards and visual reports with Power BI, Tableau, and Matplotlib, presenting complex data clearly to drive informed decisions.
Apply machine learning and time-series tools to forecast sales, customer behavior, and market trends, turning data into strategic business insights.
Learn to use SQL, Google BigQuery, and cloud storage to manage and query large datasets efficiently, preparing you for enterprise-level data work.
Complete hands-on AI projects to build a portfolio and prepare for data and AI roles.

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