Data Analyst

Syllabus

Noted course in Google Drive

Introduction to Data Analysis with Pandas and NumPy

Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.

Project: Investigate a Dataset

Source code: vnk8071/investigate_a_dataset

Advanced Data Wrangling

Data wrangling is a set of processes for turning raw and messy data into a clean format to answer interesting questions from the data. In this course, you will learn the three phases of data wrangling: gathering, assessing, and cleaning data.

Project: Real World Data Wrangling with Python

Source code: vnk8071/advanced_data_wrangling

Data Visualization with Matplotlib and Seaborn

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.

Project: Communicate Data Findings

Source code: vnk8071/communicate_data_findings