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Python for

Data Analysis

Details

PREREQUISITES

Some experience with Python (ability to write loops and use simple functions)

LENGTH

2 Days

LOCATION

On-site or Live Online

STUDENT PROFILE

Analysts using other platforms (e.g. SAS, Excel)

Course Description

This course will provide your analytics staff with a useful introduction to Python, teaching them how to clean, aggregate, describe, and visualize data. Upon completion, they will be able to analyze numerical, categorical, and time-series data in Python. This course is geared toward individuals who are new to Python but have basic analytical skills and some programming experience.

Metis Senior Data Scientists have real-world business experience and will show your team how to apply machine learning concepts to daily tasks. Your team will then be able to hit the ground running, using their new skills to immediately impact their work.

We offer in-person training, as well as remote training via our Live Online technology. We are able to blend these capabilities so we can teach your entire team, even if they’re not all in one place.

Course Outcomes

Upon completion of the course, attendees should be able to:

Perform basic analysis in Python using pandas

Edit and create Excel worksheets in Python

Create functions to automate analysis

Training Content

DAY 1:

Python and Pandas Basics

Introduction to the Jupyter notebook

Python Fundamentals

Introduction to pandas

Data sources and I/O

Interacting with Excel

DAY 2:

Aggregations, Explorations, and Visualizations

Data Aggregation and Partitions

Pandas for exploratory data analysis

Data visualization in Python

Introduction to regression analysis in Python

Case Study

CMA Strategy Consulting

Find out how Metis helped CMA Strategy Consulting skill up 75% of its staff in Python, leading them to build models 22.5 times faster than before.

VIEW CASE STUDY

Client Testimonial

Metis was able to engage employees at all skill levels, from those with no background in Python to those who were experienced. Moving large data models over to new systems is a risky proposition, but through Metis, we have the tools to do it now, and we've started moving some of our most important project models over to Python.

PETER LEE, CONSULTANT, CMA

Details

PREREQUISITES

Some experience with Python (ability to write loops and use simple functions)

LENGTH

2 Days

LOCATION

On-site or Live Online

STUDENT PROFILE

Analysts using other platforms (e.g. SAS, Excel)