👋🏾Hi, I’m Monise.
🍀 Proud Notre Dame Alumna
🧮 Math Teacher
📒 Spreadsheet Maker & Data Enthusiast
💡 All-around Problem Solver
👀 I started learning about SQL and Data Visualization last Summer (2023) through an Uplimit Bootcamp. I’m interested in continuing my learning to better prepare for my first 'official' Data Analyst role.
I have also been juggling a full-time job, part-time job, and coaching Volleyball for 5 months. BTW: The 7th grade team I coached won the championship for our region!
In addition to managing those responsibilities, I have an ever-growing 'To Learn' list! I am making use of every extra minute to practice, create projects, and keep my Git updated. I am certain that once I land a full-time role as a Data Analyst, I will be able to quickly build upon those skills while contributing to a team/department.
My goal is to join a dynamic organization that will recognize that I am eager to learn, grow, and contribute.
📫 How to reach me: MoniseSeward@gmail.com
All courses and projects are linked to either a certificate of completion or video showcasing a completed project.
📊 Data Visualization with Tableau
Skills Focus Area: SQL | Filtering | visualizations | data storytelling | Tableau | bar charts | pie charts | histograms | maps
Data Cleaning in SQL: Prepare Data for Analysis
Skills Focus Area: Case statements | Nulls | detect & remove duplicates
📉 Introduction to Data Analysis Using Excel
Skills Focus Area: IF | VLookup | Pivot Tables | filtering | sorting
📈Data Cleaning in Excel: Techniques to Clean Messy Data
Skills Focus Area: Data cleaning & formatting
💻 Get and Transform Data with Power BI - Learning Path
Skills Focus Area: Retrieve data from data sources: Microsoft Excel | Relational Databases | NoSQL data stores
Clean, Transform, and Load Data in Power BI
Skills Focus Area: Resolve inconsistencies, unexpected or null values, and data quality issues | Profile data | Evaluate and transform column data types | Apply data shape transformations | Combine queries | Edit M code in the Advanced Editor