Earning Criteria

• Across two sessions, participants harnessed their Power BI expertise to tackle real-world business challenges. Adeptly navigated tasks including data modeling in Power Query, writing DAX calculations and expressions, leveraging Azure Maps, and creating impactful data visualizations. Their ability to showcase tangible outcomes to key decision-makers ignited insightful inquiries and facilitated ongoing learning.
• Harnessed the power of the Python programming language, leveraging both its fundamental functions and advanced capabilities found within essential packages such as pandas and matplotlib. Navigated the data ingestion, manipulation, and visualization process, streamlining daily business operations efficiently. Articulated the broader potential of Python in resolving a spectrum of everyday work challenges, shedding light on its versatile applicability beyond the immediate tasks on hand.
• Leveraged Power Automate to elevate efficiency through real-world data analysis or transformation challenges. Identified manual processes and adeptly crafted (with the help of experts) logic for automated solutions to optimize individual and team productivity. Shared results within teams, spotlighting tangible enhancements in speed and precision achieved through automation for corporate gain.
• Delved into comprehensive emotional intelligence (EI) curriculum covering self-awareness, self-regulation, decision-making, stress management, and social skills. Identified vital leadership traits, undertook a validated EI assessment, engaged in activities, and set SMART goals to bolster EI in the future. Committed to continual personal and corporate growth through enhanced emotional intelligence.
• Navigated tasks involving the creation and optimization of prompts for diverse AI applications. Developed proficiency in crafting nuanced prompts and fine-tuning language models. The focus was on practical business application, showcasing outcomes to foster collaborative learning. Participants are able to communicate the value of AI prompt engineering effectively, preparing them to drive innovation in real-world scenarios.