Description

The part of why Python has become so popular is because it is widely used among data scientists. It is one of the easiest languages to learn and has impressive libraries and works perfectly for every stage of data science.

So the short answer to the question of whether Python is good for data analysis is yes. We will discuss its pros and cons later in the article so stick around to find a more detailed explanation to the question..

Goal of Course

• Data Mining from different data sources
• Data Wrangling using advanced Python libraries
• Data Anlaytics using pandas, numpy, SciPi data libraries
• Data Visualization using matplotlib, seaborn, and plotly.

Key Modules

• Core Python Programming
• File Operations
• Data Analysis with Pandas
• Vectorizing Data in Numpy
• Connecting SQL Database
• Data Visualization
• Basic Statistics