Python and Pandas for Data Analysts

DURATION: 2-DAY COURSE

What you will learn

In this course you will learn everything from code quality and testing to creating virtual environments and type checking

Languages and libraries:

Python 3

Anaconda

Pandas

PREREQUISITES

Prior general introductory programming experience (familiarity with basic concepts such as variable, loops, functions).

DAY ONE

Python Fundamentals and Development Practices

The Python Ecosystem
- Jupyter Notebook
- Anaconda
- Packages and environments
Introduction to Python
- Python fundamentals
- Data structures
- Conditionals and control flow
- String formatting
- Function definition
- Debugging

DAY TWO

Pandas

Introduction to Pandas
- DataFrames and methods
- Reading data
- Series and methods
- Accessing elements and filtering

Case Studies

From R to Python at ING

Production-ready code for Data Science at the BBC

Learning Outcomes:

Use Jupyter notebooks and understand the role of packages and environments

Understand Python syntax, structure and programming concepts

Use Pandas to import, summarise, filter and modify datasets

KATE Projects:

FTSE Market Summary Report: Data analysis of an FTSE dataset using pandas

Get in Touch

Interested in learning more?

If you’re interested in what the ‘Python & Pandas for Data Analysts’ could do for your team or department, please complete the form to the right of this text and we’ll get back to you within two working days with more information.

Get in touch now

Please complete all of the required fields to get in touch with us. Alternatively, call +44(0)7816 419378 or email contact@cambridgespark.com now