Data-Analyst-Nanodegree-Udacity

My projects in Data Analyst Nanodegree

First Term Projects

• Project 0: Explore Weather Trends.
• Project 1: Explore US Bikeshare Data.
• Project 2: Investigate a Dataset.
• Project 3: Analyze A/B Test Results.

Second Term Projects

• Project 4: Test a Perceptual Phenomenon
• Project 5: Explore and Summarize Data
• Project 6: Wrangle and Analyze Data
• Project 7: Create a Tableau Story

Courses of the first term:

1. Introduction to Python:

• Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.

2. Introduction to Data Analysis:

• Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.

3. Practical Statistics:

• Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.

Courses of the Second Term:

1. Data Wrangling:

• Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.

2. Exploratory Data Analysis:

• Learn to explore data at multiple levels using appropriate visualizations, acquire statistical knowledge for summarizing data, and develop intuition around a data set.

3. Data Storytelling:

• Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.