Data Analyst with Python

Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. 

1. Develop programs in Python
2. Manipulate data using NumPy
3. Load and process data using Pandas

• Introduction to Data Analysis
  By the end of this part, you will be able to:
  1. Use Anaconda to manage your programming environment
  2. Investigate a dataset using Python data analysis packages
  3. Perform the entire data analysis process on a dataset
• Data Wrangling
  By the end of this part, you will be able to:
  • Gather data from multiple sources in a variety of formats
  • Assess the quality and tidiness of data visually and programmatically
  • Clean data using Python and Pandas