Advanced level of Practical Data Analytics with Advanced Excel and AI Integration
Lecturer
Kārlis Zars
About the lecturer
Kārlis Zars is a passionate educator and technologist with a focus on practical tech education. He is the founder of App Pottery, an online program designed to teach coding and AI skills. Additionally, he is a course creator and instructor on Coursera, where he delivers engaging and practical technology courses. His work experience includes roles in robotic process automation and a strong dedication to empowering learners of all backgrounds.
Course Description
This course equips participants with the tools and techniques to perform advanced data analysis using Microsoft Excel, while introducing AI solutions to enhance decision-making and operational efficiency. Designed for professionals with intermediate Excel skills, the course focuses on leveraging data for actionable insights and integrating AI into business processes. Participants will learn to utilize advanced Excel functions, create dynamic dashboards, and explore the potential of AI tools like ChatGPT to automate tasks, improve forecasting, and gain a competitive advantage.
Course Goals
Gain proficiency in advanced Excel functions, including Pivot Tables, Power Query, and complex formulas, for data manipulation and analysis.
Learn how to effectively utilize AI tools like ChatGPT to enhance data analysis, automate tasks, and improve decision-making.
Utilize data analysis techniques to extract meaningful insights from datasets and translate them into actionable business recommendations.
Develop the skills and confidence to leverage data analysis and AI to drive informed business decisions and improve organizational performance.
After the course participants will be able to:
Master advanced Excel functions and techniques to extract deeper insights from data.
Gain the ability to leverage AI tools to automate tasks, improve forecasting, and make more informed business decisions.
Streamline data analysis processes and improve operational efficiency through automation.
Gain a competitive edge by utilizing data-driven insights to inform business strategies and improve performance.
Enhance your professional value and career prospects by developing in-demand data analysis skills.
Course will be:
In Person
Prerequisites:
No prior specific experience or specific prerequisites are required to enroll in this course.
Teaching methods used:
- Active learning
- Class discussions
- Group work
- Lectures
- Case study analysis
Session 1: Advanced Excel for Data Analysis (3 Hours)
Topic Details
Advanced Excel Techniques
– Pivot Tables, Power Query, and advanced formulas.
– Automation with Macros and AI-powered Excel features.
Data Visualization
– Creating dashboards for key insights.
– Storytelling with data and design principles.
Hands-On Activities
– Analyze and visualize sample datasets.
– Automate reporting processes with Macros.
Session 2: Integrating AI into Data Processes (3 Hours)
Topic Details
AI Fundamentals
– Overview of AI concepts and their relevance.
– Trends impacting data analytics.
AI Tools and Applications
– ChatGPT for data summarization.
– Predictive modeling and automated reporting tools.
Hands-On Activities
– Use AI tools for summarizing datasets.
– Explore AI-powered predictive modeling for operational insights.
Session 3: Real-World Applications and Planning (2 Hours)
Topic Details
Applying Learnings
– Addressing data challenges.
– Applying advanced Excel and AI solutions to real-world scenarios.
Developing a Roadmap
– Drafting personalized plans for data analytics improvements.
– Setting realistic goals and overcoming challenges.
Hands-On Activities
– Create an action plan for data improvements.
– Finalize an AI implementation roadmap with peer feedback.
Advanced level of Practical Data Analytics with Advanced Excel and AI Integration
This course is available in 2025.
The exact date and time will be announced after registration. For more information please contact us at lift@rbs.lv or call us at 20318250
In Person
Price: 500€ + VAT
Price with EU support: 150€ + VAT
Language: Latvian
Lecturer
Kārlis Zars
About the lecturer
Kārlis Zars is a passionate educator and technologist with a focus on practical tech education. He is the founder of App Pottery, an online program designed to teach coding and AI skills. Additionally, he is a course creator and instructor on Coursera, where he delivers engaging and practical technology courses. His work experience includes roles in robotic process automation and a strong dedication to empowering learners of all backgrounds.
Course Description
This course equips participants with the tools and techniques to perform advanced data analysis using Microsoft Excel, while introducing AI solutions to enhance decision-making and operational efficiency. Designed for professionals with intermediate Excel skills, the course focuses on leveraging data for actionable insights and integrating AI into business processes. Participants will learn to utilize advanced Excel functions, create dynamic dashboards, and explore the potential of AI tools like ChatGPT to automate tasks, improve forecasting, and gain a competitive advantage.
Course Goals
Gain proficiency in advanced Excel functions, including Pivot Tables, Power Query, and complex formulas, for data manipulation and analysis.
Learn how to effectively utilize AI tools like ChatGPT to enhance data analysis, automate tasks, and improve decision-making.
Utilize data analysis techniques to extract meaningful insights from datasets and translate them into actionable business recommendations.
Develop the skills and confidence to leverage data analysis and AI to drive informed business decisions and improve organizational performance.
After the course participants will be able to:
Master advanced Excel functions and techniques to extract deeper insights from data.
Gain the ability to leverage AI tools to automate tasks, improve forecasting, and make more informed business decisions.
Streamline data analysis processes and improve operational efficiency through automation.
Gain a competitive edge by utilizing data-driven insights to inform business strategies and improve performance.
Enhance your professional value and career prospects by developing in-demand data analysis skills.
Course will be:
In Person
Prerequisites
No prior specific experience or specific prerequisites are required to enroll in this course.
Teaching methods used:
- Active learning
- Class discussions
- Group work
- Lectures
- Case study analysis
Session 1: Advanced Excel for Data Analysis (3 Hours)
Topic Details
Advanced Excel Techniques
– Pivot Tables, Power Query, and advanced formulas.
– Automation with Macros and AI-powered Excel features.
Data Visualization
– Creating dashboards for key insights.
– Storytelling with data and design principles.
Hands-On Activities
– Analyze and visualize sample datasets.
– Automate reporting processes with Macros.
Session 2: Integrating AI into Data Processes (3 Hours)
Topic Details
AI Fundamentals
– Overview of AI concepts and their relevance.
– Trends impacting data analytics.
AI Tools and Applications
– ChatGPT for data summarization.
– Predictive modeling and automated reporting tools.
Hands-On Activities
– Use AI tools for summarizing datasets.
– Explore AI-powered predictive modeling for operational insights.
Session 3: Real-World Applications and Planning (2 Hours)
Topic Details
Applying Learnings
– Addressing data challenges.
– Applying advanced Excel and AI solutions to real-world scenarios.
Developing a Roadmap
– Drafting personalized plans for data analytics improvements.
– Setting realistic goals and overcoming challenges.
Hands-On Activities
– Create an action plan for data improvements.
– Finalize an AI implementation roadmap with peer feedback.