Python Data Analysis with NumPy and pandas

  4.5 out of 5 - Read Testimonials

This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries.

Goals
  1. Learn to use NumPy to work with arrays and matrices of numbers.
  2. Learn to work with pandas to analyze data.
  3. Learn to work with matplotlib from within pandas.
Outline
  1. NumPy
    1. One-dimensional Arrays
    2. Multi-dimensional Arrays
    3. Getting Basic Information about an Array
    4. NumPy Arrays Compared to Python Lists
    5. Universal Functions
    6. Modifying Parts of an Array
    7. Adding a Row Vector to All Rows
    8. Random Sampling
  2. pandas
    1. Series and DataFrames
    2. Accessing Elements from a Series
    3. Series Alignment
    4. Comparing One Series with Another
    5. Element-wise Operations
    6. Creating a DataFrame from NumPy Array
    7. Creating a DataFrame from Series
    8. Creating a DataFrame from a CSVl
    9. Getting Columns and Rows
    10. Cleaning Data
    11. Combining Row and Column Selection
    12. Scalar Data: at[] and iat[]
    13. Boolean Selection
    14. Plotting with matplotlib
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Python class:

  • Basic Python programming experience. In particular, you should be very comfortable with:
    1. Working with strings.
    2. Working with lists, tuples and dictionaries.
    3. Loops and conditionals.
    4. Writing your own functions.
Prerequisite Courses

Courses that can help you meet these prerequisites:

Preparing for Class

Training for your Team

Length: 2 Days
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

Training for Yourself

$1,050.00 or 2 vouchers

Upcoming Classes

  • See More Classes

Please select a class.
  • Live Online Training
  • For Individuals
  • Expert Instructors
  • Guaranteed to Run
  • 100% Free Re-take Option
  • 1-minute Video

What people say about our training

The instructor is incredible. I learned a lot. She made it fun and easy to understand. Awesome class!
Cindy Bielke
Intertech
All aspects of the training exceeded my expectations! Great instructor, materials and class flow! I am very pleased with the fact that Webucator does not cancel a course due to enrollment size. I will indeed look to Webucator first for my future training needs.
Kanisha Goodwin
U S Federal Courts
Good pace, coursework, and an excellent instructor.
Scott Freeland
Mainstay Business Solutions
Great course. Very illustrative and a very fast way to understand and put MS project to work. Instructor was very helpful and answered all of our questions.
Carlos Bautista
Bullet Line

No cancelation for low enrollment

Certified Microsoft Partner

Registered Education Provider (R.E.P.)

GSA schedule pricing

61,023

Students who have taken Instructor-led Training

11,715

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.09

Students rated our Python Data Analysis with NumPy and pandas trainers 9.09 out of 10 based on 11 reviews

Contact Us or call 1-877-932-8228