SQLBits 2024
Soaring Through Data: An Intro to Python for Data Analysis
We'll start at the runway with the basics of Python syntax and programming constructs.
Ascend into the clouds as we explore essential data structures like lists and NumPy arrays.
Reach cruising altitude with the Pandas library, your cockpit for data manipulation. Navigate through data cleaning techniques and set your coordinates for basic yet powerful data analysis methods.
Finally, prepare for landing with a Q&A session, ensuring you're ready to pilot your own data projects.
Buckle up and prepare for takeoff into the world of Python for data analysis.
Take off on a data-driven journey with 'Soaring Through Data: An Intro to Python for Data Analysis.'
This 100-minute session is your pre-flight checklist for mastering Python's role in data analytics.
We'll start at the runway with the basics of Python syntax and programming constructs.
Ascend into the clouds as we explore essential data structures like lists and NumPy arrays.
Reach cruising altitude with the Pandas library, your cockpit for data manipulation. Navigate through data cleaning techniques and set your coordinates for basic yet powerful data analysis methods.
Finally, prepare for landing with a Q&A session, ensuring you're ready to pilot your own data projects.
Buckle up and prepare for takeoff into the world of Python for data analysis.
This 100-minute session is your pre-flight checklist for mastering Python's role in data analytics.
We'll start at the runway with the basics of Python syntax and programming constructs.
Ascend into the clouds as we explore essential data structures like lists and NumPy arrays.
Reach cruising altitude with the Pandas library, your cockpit for data manipulation. Navigate through data cleaning techniques and set your coordinates for basic yet powerful data analysis methods.
Finally, prepare for landing with a Q&A session, ensuring you're ready to pilot your own data projects.
Buckle up and prepare for takeoff into the world of Python for data analysis.