Python for Data Analysis using NumPy

Define single and multi-dimensional NumPy arrays NumPy, ndarrays, Slicing, Random Generators, Importing and Saving Data, Statistics, Data Manipulation, Preprocessing and many more

Advanced 5(2 Ratings) 115 Students enrolled English
Created by Karan Arora
Last updated Mon, 05-Jun-2023
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Course overview

Most data analyst, data science, and coding courses miss a crucial practical step. They don’t teach you how to work with raw data, how to clean and preprocess it. This creates a sizeable gap between the skills you need on the job and the abilities you have acquired in training. 

What will i learn?

Requirements
  • python
Curriculum for this course
12 Lessons 00:00:00 Hours
NumPy for Data Analysis using Python
12 Lessons 00:00:00 Hours
  • Introduction to Numpy
    Preview .
  • Create an Array
    Preview .
  • NumPy Datatypes
    Preview .
  • Inspect an Array
    Preview .
  • NumPy Random Array
    Preview .
  • NumPy Math Functions
    Preview .
  • Subset, Slice, Index and Iterate through Arrays
    Preview .
  • Sorting of an Array
    Preview .
  • Numpy Array Manipulation
    Preview .
  • Combine & Split an Array
    Preview .
  • Numpy Set Operations
    Preview .
  • Linear Algebra
    Preview .
Project
0 Lessons 00:00:00 Hours
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About instructor

Karan Arora

64 Reviews | 1956 Students | 52 Courses
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