Data-Science-Yandex

Data Science course Practicum by Yandex

First Course: Data preprocessing

In this course I have learned and solved:

1. some problems for the e-shop team
2. I've analyzed data sets and made recommendations to help boost sales
3. Defined traffic sources and calculated conversion metrics for them
4. Determined which product categories and subcategories on the website perform worst in search results
5. Categorized customer support tickets by priority
6. learned about strategies for dealing with missing values
7. identified duplicate data and processed it in several different ways
8. learned how to categorize data

Second Course: Exploratory data analysis

In this course I have learned and solved:

1. To build graphs using various methods such as: hist, boxplot, and plot
2. Selectively change values via the where() method
3. Assign values according to indices and strings
4. Combine data with the join() method
5. Identify and interpret correlations in various types of data
6. Start the process for building graphs

Third Course: Exploratory data analysis

In this course I have learned and solved:

1. learned to choose the optimal metrics for data description
2. learned to define the necessary histogram type to assess continuous and discrete variables
3. learned to draw conclusions on the data from statistical metrics
4. learned to understand the basic notions of probability theory
5. learned to define and calculate both normal and binomial distributions
6. learned to formulate and test hypotheses

Integrated Project #1

In this project I bring together all I've learned so far, in my first integrated project, a real-life analytical case study.