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Course Description

This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Students will learn to use NumPy to work with arrays and matrices of numbers; learn to work with pandas to analyze data; and learn to work with matplotlib from within pandas. 

Course Outline

  1. 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
  2. pandas
    • Series and DataFrames
    • Accessing Elements from a Series
    • Series Alignment
    • Comparing One Series with Another
    • Element-wise Operations
    • Creating a DataFrame from a NumPy Array
    • Creating a DataFrame from Series
    • Creating a DataFrame from a CSV
    • Getting Columns and Rows
    • Cleaning Data
    • Combining Row and Column Selection
    • Scalar Data: at[] and iat[]
    • Boolean Selection
    • Plotting with matplotlib

Prerequisites

Basic Python programming experience. In particular working with strings; working with lists, tuples and dictionaries; loops and conditionals; and writing your own functions.

Duration

12 Hours | 2 Days or 4 Nights

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Section Title
Python Programming for Data Analysis
Type
Instructor-Led
Days
M, W
Time
5:30PM to 8:30PM
Dates
Aug 02, 2021 to Aug 11, 2021
Schedule and Location
# of Course Hours
12.0
Delivery Option
Course Fee(s)
Rate non-credit $1,295.00
Potential Discount(s)
Section Title
Python Programming for Data Analysis
Type
Instructor-Led
Days
T, Th
Time
5:30PM to 8:30PM
Dates
Nov 09, 2021 to Nov 18, 2021
Schedule and Location
# of Course Hours
12.0
Delivery Option
Course Fee(s)
Rate non-credit $1,295.00
Potential Discount(s)
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