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Assignments from Courses

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Here are the assignments from "Data Analytics" from Yandex.Praktikum.

  1. Music of Big Cities
  • From course Основы Python и анализа данных
  • In this assignment, I made a simple quantitative analysis of the data and found how the popularity of music of different genres depends on the time of day and day of the week.

Here are the assignments from IBM Data Science course.

  1. Analyzing US Economic Data and Building a Dashboard
  • From course Python for Data Science and AI
  • In this assignment, I extracted some essential economic indicators from some data, then displayed these economic indicators in a Dashboard. I marked on my ability to apply Python programming concepts that would commonly be used to load, analyze and share data.
  1. SQL Data Science Assignment
  • From course Databases and SQL for Data Science with Python
  • In this assignment, I worked with real databases, real data science tools, and real-world datasets. I created a database instance in the cloud. I practiced building and running SQL queries. I also learned how to access databases from Jupyter notebooks using SQL and Python.
  1. Analyzing House Sales in King County, USA
  • From course Data Analysis with Python
  • In this assignment, I analyzed and predicted housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on. I used Watson Studio to perform the analysis.
  1. Visualizing US Domestic Airline Flights Performance
  • From course Data Visualization with Python
  • In this assignment, I demonstrated the data visualization skills I learned by completing course. Dashboard is based on the concept of demonstrating US Domestic Airline Flights Performance for a given year ( 2005 to 2020).
  1. Classification with Python
  • From course Machine Learning with Python
  • In this assignment, I built a classifier to predict whether a loan case will be paid off or not. I loaded a historical dataset from previous loan applications, cleaned the data, and applied different classification algorithm on the data.
  1. Analyzing Historical Stock/Revenue Data
  • From course Python Project for Data Science
  • In this assignment, I extracted the revenue data for Tesla and GameStop and built a dashboard to compare the price of the stock vs the revenue.