Data-science-portfolio

This file contains all of the data from my analysis. To make searching easier, the repo has been organized into different categories. If you have any questions, please contact me at (murimifesus09@gmail.com).

Happy coding everyone !

Prerequisites

Alot of the code here is written using google colab, so you can pretty much get away without installing anything, but just incase you want to run the code locally on your machine download Anaconda, it comes pre-loaded with all the necessary libraries.

Installion and running

if you arent new to linux or termux the you probably know the git clone command which install the script and saves it into a Data-science-portflio folder for those who may not know this well the pprocess is down below.

• cd Data-science-portfolio

Now you are good to go

License

This project is under the Apache license v3.0 so you are free to make any changes to it.See the license.md for more information

PROJECTS

Curriculum (lets get you started in data-science)

Introduction to Data Science

What is Data Science

Introduction to Computer Science

Students who already know basic programming in any language can skip this first course

Python for Everybody

Introduction to Computer Science and Programming Using Python

Introduction to Computational Thinking and Data Science

Databases

Database Management Essentials

Data Warehouse Concepts, Design, and Data Integration

Relational Database Support for Data Warehouses

Business Intelligence Concepts, Tools, and Applications

Design and Build a Data Warehouse for Business Intelligence Implementation

MongoDB for Developers Learning Path

Statistics & Probability

Introduction to Probability

Intro to Descriptive Statistics

Intro to Inferential Statistics

Data Science Tools & Methods

Tools for Data Science

Data Science Methodology

Data Science: Wrangling

Machine Learning/Data Mining

Machine Learning

Intro to Machine Learning

Mining Massive Datasets

Process Mining

HAVE FUN GUYS!!