Edreen Bryan Valdeavilla

Learn to earn Certificate
 of Graduation This certifies that EDREEN BRYAN VALDEAVILLA has successfully finished the Core 
 and Advanced tracks of the Data Analytics course and completed all the assignments and projects 
 with a passing grade June 08,- Roman Kumar Vyas CEO & Founder of Refocus Learn to earn EDREEN BRYAN VALDEAVILLA N Has successfully finished the Core and Advanced tracks of the Data Analytics course Number of hours completed 100 hours of video lectures, assessments, and self-study Number of assignments passed 20 practical assignments and tests with evaluation Description of project(s) finished Refocus Project Creating a report During the project, students analyzed and provided methodology 
 on how the company can address clients' dissatisfaction with their services. They used PostgreSQL and Excel to solve problems and visualize data. As a result, they provided insights and recommendations for the company. Refocus Final Project In this project, students utilized their knowledge of Excel, SQL, Power BI, and Python to complete comprehensive data analysis. They worked with intricate datasets, cleaned and transformed the data, and created a cohesive narrative through visualization tools. They identified key trends and takeaways and presented their insights in a clear and concise manner. Refocus Project Crafting a Power BI Dashboard for Clockster (optional) In this project, students successfully processed and cleansed raw data supplied by the HR department, utilizing tools like Excel, SQL, and Power BI. Following this, they developed Power BI dashboards to visualize the data and present the insights requested by the company’s CEO. Modules completed Intro Module Creating Reports Using Excel Loading Data Using SQL Creating a Report Visualizing and Calculating Data in Power BI Analyzing Data With Python Tools learned Databases: MySQL, PostgreSQL Power BI Skills acquired Business Metrics Final Project Microsoft Tools: Word, Excel (Pivot) Python and libraries: Pandas, Seaborn, NumPy, SciPy and Matplotlib Cleaning, calculating, and visualizing data using Excel and SQL Creating pivot tables in Excel Conducting statistical analysis through Excel Running SQL queries to retrieve information from databases Processing data and creating dashboards in Power BI Using Python libraries for data acquisition, cleaning, exploration, transformation, and visualization Collaborating with businesses and stakeholders to provide 
 pertinent information as needed Showcasing analytical findings and offering insights and recommendations Demonstrating strong teamwork and effective time and task management Using business metrics and KPIs to assess a company's performance