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Course Details
Course Description:
The Python Data Analysis with Pandas, NumPy and Matplotlib course is a 2-day course is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers that are new to those libraries.
The course will cover how to use NumPy to work with arrays and matrices of numbers, how to work with pandas to analyze data and how to work with matplotlib from within pandas.
Topics covered in the course include:
- Jupyter Notebook
- NumPy
- pandas
Target Student: This course would be beneficial to for students that are familiar with Python programming and are very familiar with the following: working with strings, lists, tuples and dictionaries; loops and conditionals; and writing your own functions.. The contents of the this course Introduction to Python 3, or equivalent knowledge are required.
Section 1. Jupyter Notebook
Getting Started with Jupyter Notebook
Create Your First Jupyter Notebook
Jupyter Notebook Modes
Useful Shortcut Keys
Markdown
Magic Commands
Getting Help
Section 2. NumPy
One-dimensional Arrays
Multi-dimensional Arrays
Getting Basic Information about an Array
NumPy Arrays Compared to Python Lists
Universal Functions
Modifying Parts of an Array
Adding a Row Vector to All Rows
Random Sampling
Section 3. pandas
Series and DataFrames
Accessing Elements from a Series
Series Alignment
Comparing One Series with Another
Element-wise Operations
Create a DataFrame from NumPy Array
Create a DataFrame from Series
Create a DataFrame from a CSVl
Getting Columns and Rows
Cleaning Data
Combining Row and Column Selection
Scalar Data: at[] and iat[]
Boolean Selection
Plotting with matplotlib
Please check the course description to find prerequisite information.
We offer live-instructor group training classes for your team.
Upskill your team from the comfort of your office or online.
Benefits of Group Training Include:
- Experienced Professional Instructor Trains Your Team
- Content Focused On Your Team's Needs
- Convenient Scheduling and Class Setup
- Significant Per/Student Cost Savings
- Online, On-Site and Blended Options Available
Testimonials
This was the class I needed.
The instructor Jeff took his time and made sure we understood each topic before moving to the next. He answered all of our questions, and I don't know about the rest of the students, but was very pleased with this experience.
I finally understand how to use Excel.
-Amanda T (Yale New Haven Hospital).
Great class!
We were able to cover a lot of information in one day without getting overwhelmed.
-Maria R (Microsoft).
Public Class Schedule
Instructor led training is a cost effective and convenient learning platform for busy professionals. Most courses are available at over 300 locations nationwide and Online.
The classes are taught via the RCI method by professionally certified instructors, and are usually limited to 12 or less students. Each student receives a training manual and practice problems, along with a free course retake. Click here to learn more about Instructor Led Training
Below is a list of upcoming Python Instructor Led Class Dates:
Location: Available Nationwide and Online
Class Date(s): 11/25/2024 - 11/27/2024
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 1/20/2025 - 1/22/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 2/17/2025 - 2/19/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 3/17/2025 - 3/19/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 4/14/2025 - 4/16/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 5/12/2025 - 5/14/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 6/9/2025 - 6/11/2025
Course Fee : $1495
Location: Available Nationwide and Online
Class Date(s): 7/7/2025 - 7/9/2025
Course Fee : $1495
We offer private Python group training services for organizations looking to upskill their team members with a live-instructor.
Training options include:
Learn more about how Python Private Group Training from Business Computer Skills can help your team.
