Trisha Uka

Day 10 of my dataanalyticschallenge with @Rita_tyna Still diving deeper into Excel, and today’s focus was on Array Formulas, their different types, and Lookup Functions understanding not just how they work, but when and why to use them.

@SlenderSherbet 😂😂😂

Yes you can come, just don't be weird. Me:

@m365show Yes, it really does.

@UkaTrisha Data cleaning really sets the foundation, doesn’t it? Every insight relies on solid data preparation. 🌟

Day 37/120 of my Data Analytics Challenge with Tina Today, I focused on data cleaning and preparation using Power Query Editor in Power BI, a critical step before building any meaningful analysis. I learned that good analysis starts with clean, structured data.

✅ Unique: Returns only values that appear once (no duplicates at all) 💡 Key Takeaways: - Power Query is your best friend for transformation - Fixing data types early prevents errors later in DAX - Understanding data uniqueness improves analysis accuracy. #DataAnalyticsLockedIn

🔹 Replace Values, Absolute Values 🔹 Create new columns where necessary 🔹 Close & Apply for visualization One key concept I explored today was the difference between Distinct vs Unique values: ✅ Distinct: Returns all different values (removes duplicates but keeps one instance)

and data visualization best practices This session reinforced that mastering Power BI isn’t just about learning a tool, it’s about developing the ability to communicate insights clearly and effectively. #DataAnalyticsLockedIn

Day 36/120 of my Data Analytics Challenge with Tina. Today’s focus was on understanding Power BI, what it is, why it matters, and how it fits into the data visualization workflow. Power BI is more than just a reporting tool; it’s a powerful platform that transforms raw data into

meaningful insights through interactive dashboards and visuals. 🔑 Key Takeaways: • Power BI enables data-driven decision-making by turning complex datasets into easy-to-understand visuals • Core skills to master include data modeling, DAX (Data Analysis Expressions),

Looked at myself and all I did was just smile…you are really doing this Progress is all I see..little proud moments Anyways…Today was about Data Modelling… The second skill everyone needs to master in Power BI ↪️Day 39/120 of the versatileblezyn becoming a data analyst with @Rita_tyna #versatileblezyn #dataanalyst #DataAnalyticsLockedIn

@victoria_echezu 👏👏

First BI Dashboard

@ojuolape124 @Rita_tyna Thank you 😊

@UkaTrisha @Rita_tyna Showing up again is the first step Well done 👍

Day 29/120 of my Data Analytics Challenge with @Rita_tyna Life happened… and I missed a few days of showing up. But I’m choosing consistency over perfection, I’m starting again, and I’m not giving up. Today’s focus: Independently analyzing a dataset &

@Rita_tyna Yes please

Should we do another Power BI Bootcamp?

🔹 What factors might be influencing employee attrition? This process is teaching me that data analysis isn’t just about tools; it’s about asking the right questions that drive decisions. Consistency is still the goal, growth is still the mission 💪. #DataAnalyticsLockedIn

🔹 What is the overall workforce distribution across departments? 🔹 Are there salary gaps across roles or gender? 🔹 Which departments have the highest employee turnover? 🔹 How does performance relate to salary and experience?

asking the right business questions. I’m currently working on an HR Analytics dataset, and instead of jumping straight into dashboards, I’m taking a step back to think like a business analyst. Here are some key questions I’m exploring:

As part of my data analytics journey, I built an HR Gender Diversity & Equality Dashboard in Excel, analyzing workforce trends from 2014 to 2019. This project explores key areas such as employee distribution, compensation, gender pay gap, hiring patterns, and attrition rate

Day 31 & 32/120 I picked a dataset outside of my comfort zone. HR data. Something I had never worked with before. Honestly? I was nervous. But I figured the only way to grow is to try things that feel unfamiliar.