Reza Rafiei Rad's repositories
Data-Analytics
Practice Data Analytics Projects
DataCamp
DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python
DataScience_Hiring_Task_2019
Take-home task description and data for candidates applying for a Data Science position at RiskLens in Spokane, WA
Discovery-Hiring-Analyst-2016
The Wikimedia Data Analyst hiring task in Python
Discovery-Hiring-Analyst-2017
Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.
frontendmentor_challenges
frontend mentor challenges solution repo
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Internship_hiring_dataset
So, here I would like to share my one more dataset, which were given by a (not mentioning a name Sorry :) ) company to hire me as a intern. I could complete the task with using some machine learning algorithms.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
open-product-management
A curated list of product management advice for technical people.
pma8165-theme
A clean, dark and minimal theme for phpMyAdmin 4.2.x
Rockbuster-Stealth-Data-Analysis-Project
You’ve been hired as a data analyst by Rockbuster Stealth’s business intelligence (BI) department to help with the launch strategy for the new online video service. The BI department helps other departments, from inventory to customer insights, with data-related queries. Your first task is to load all of Rockbuster’s data into a relational database management system (RDBMS). Then, you’ll use SQL to analyze the data and answer any ad-hoc business questions that other departments may have.
utility-codes
snippet for usefull codes
Walmart-Hiring-Challenge
Predicting future sales for a company is one of the most important aspects of strategic planning. And Walmart is the best example to work with as a beginner as it has the most retail data set. Also, Walmart used this sales prediction problem for recruitment purposes too. The data collected ranges from 2010 to 2012, where 45 Walmart stores across the country were included in this analysis. Each store contains several departments, and we are tasked with predicting the department-wide sales for each store. It is important to note that we also have external data available like CPI, Unemployment Rate and Fuel Prices in the region of each store which, hopefully, helps us to make a more detailed analysis.