Ogombo Collins's Projects
Case study solutions for #8WeekSQLChallenge at https://8weeksqlchallenge.com
DataCamp Project that involved using SQL in Analyzing New York City Public School Test Scores
Business planning and forecasting ensures ventures survive changing market conditions. Some businesses do this really well and last for hundreds of years. Using SQL, we analyze dataset describing the oldest company that is still in business in (almost) every country.
Analysing John's Bakery Data
Completed tasks related to Classification Fundamentals Course Offered by CFI under BIDA Program
An SQL analysis of reported crimes in Chicago and the average daily temperature in 2021.
Churn Prediction with Random Forests
An Exploratory Data Analysis of Gala Groceries sales data as the initial stage of heling the groceries company address its supply chain challenges
Data Analyst with python career track
DataCamp Projects testing comprehension of Tidyverse concepts such as importing data, transforming data and communicating insights via visual plots.
An EDA Project related to Kenya's Mobile Money Payments Data executed in Python.
DataCamp project detailing steps executed in analyzing New York City's Airbnb Market
DataCamp Project Investigating Netflix's Movie Duration Over Time since pivoting its business model
The case study involves analyzing toy sales for a fictitious company in Mexico, Maven Toy Sales LLC.
Config files for my GitHub profile.
The core objective of the project involves analysing product data for an online sports retail enterprise to optimize revenue.
The tutorial covers basic concepts of programming in Python that i had not fully understood. Some of the concepts covered will include: - Classes - Packages - Generating Random Values One core project will also be discussed: - Automation with Python
Python for Beginners Course that's part of Google Advanced Data Analytics Professional Certificate. The course covers the basics of Python.
My practice codes on insights derived from the book: R For Data Science by Hadley Wickham and Garrett Grolemund
R Data Analysis Project
A DataCamp Project detailing computation of Sharpe Ratio when assessing the returns of a portfolio compared to a given benchmark asset. Sharpe ratio compares the expected returns for two investment opportunities and computes the additional return per unit of risk an investor could obtain by selecting one security over the other.
CFI-BIDA Program Course detailing how to model risk using Monte Carlo Simulation in Python
:mortar_board: A collection of interactive courses for the swirl R package.