| Business Analyst student | SQL (Intermediate) | | TABLEAU | | Power Bi📊 | | Python | | Ms-Excel | | Statistics |
Day 5 of My 108-Day Data Analytics Challenge: Today’s focus was on strengthening my understanding of SQL, Tableau, and Python. Here’s what I accomplished: ➡ SQL: • Focused on core SQL commands like `SELECT`, `DISTINCT`, and `COUNT`. These are essential for querying databases and retrieving meaningful insights. I’m starting to see how SQL forms the backbone of data manipulation. • I’m also keeping detailed notes on SQL concepts, which I’ll be sharing soon to help others who are learning alongside me. ➡ Tableau: • Today was all about combining data in Tableau. I learned the different methods such as Joins, Unions, Relationships, and Data Blending, which are critical for integrating multiple datasets into cohesive visualizations. • I also explored the logical & physical layers in data modeling—helping me better understand how to structure data efficiently. ➡ Python (Numpy): • Continued my journey with Numpy by diving deeper into array manipulations. Learned array transposition, universal array functions, and efficient data processing techniques using arrays. • Also covered input/output operations for arrays, which is key for storing and retrieving data during analysis. #DataAnalytics #SQL #Tableau #Python #Numpy #DataVisualization #LearningJourney #DataScience #TechSkills #ContinuousLearning #BusinessIntelligence #DataModeling #DatabaseManagement #GrowthMindset #108DayChallenge
