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Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection and Storage (PostgreSQL), Business Analytics, Making Business Decisions Based on Data (Hypotheses testing), How to Tell a Story Using Data (Presentation and Data Visualization - Maplotlib, Seaborn, Plotly), Automation (Dash, Tableau), Forecasts and Predictions, 2 Integrated projects.

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data-preprocessing exploratory-data-analysis eda sda statistical-data-analysis business-analytics data-collection github hypothesis-testing postgresql

practicum100-by-yandex's Introduction

Hi there ๐Ÿ‘‹

  • ๐Ÿ”ญ I am Yevgenii, a graduate of the intensive 9-month Data Analytics program offered by Yandex Practicum 100 and Masterschool . Welcome to my GitHub page.

On Practicum, I have completed a number of projects that I will upload soon.

About me:

  • ๐ŸŒฑ I have successfully graduated from Practicum and Masterschool Data Analyst professional training course, where I completed numerous projects using Python (Pandas and NumPy), Excel, Relational Databases (PostgreSQL, MySQL), EDA (Exploratory Data Analysis), Data Visualization (Matplotlib, Seaborn, Plotly), Dashboards (Dash, Tableau), Automation, GitHub, A/B Testing, Machine Learning (Forecasting and Segmentation), KPIs, 12 real-life data-based projects.

  • ๐Ÿ‘ฏ Through this experience, I gained a deeper understanding of the data, cultivated and practiced such skills, as visualizing data and telling a story, sharing insights to help managers make better decisions.

  • ๐ŸŽ“ With degrees in Energy Management and Electrical Engineering, I've developed strong critical thinking and problem-solving skills.

  • ๐Ÿง After COVID situation, I sought to pursue a career in something I had always been passionate about, transforming my hobby into a profession. When I was a child, I loved collecting data from football matches during the World Cups and creating tables, graphs, and "top 5" dashboards based on that data. Since my youth, I have kept track of my income and expenses in Microsoft Excel, and I have enjoyed analyzing them on a monthly and annual basis to better understand my financial situation, compare it to previous periods, control expenses and increase income, and even predict my savings "milestones". It is why I chose Data Analytics as my career path.

  • โšก I am eager to begin my first challenging role in the field of analytics. It would be rewarding for me to develop my skills and assist businesses with their goals.

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