Data-Analyst

This repository contains projects of the Data Analyst Program.

Lesson	Project Overview
Orientation	Project 0: Explore Weather Trends
Introduction to Data Analysis	Project 1: Investigate a dataset - Questioning, wrangling, exploring, analyzing and communicating data with Pandas and Numpy.
Practical Statistics	Project 2: Analyze A/B Test Results - Apply inferential statistics and probability to important, realword scenarios(A/B tests and building supervised learning models).
Data Wrangling	Project 3: Wrangle and Analyze Data - Learn the data wrangling process of gathering, assessing, and cleaning data. - Use python to wrangle data programmatically and prepare it for deeper analysis.
Data Visualization	Project 4: Communicate Data Findings - Apply sound design and data visualization principles to the data analysis process. - Use analysis and visualizations to tell a stroy with data.

Notes:

• Data Analysis
• Practical Statistics
• Regressions
• Data Visualization

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.