Numpy for Data Science
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Numpy for Data Science

  • Master the go to/most popular library for complex mathematical operations.

Created by Selva Prabhakaran

  •  29 Video Lessons

  • English

  • English captions

What you will learn

01

Reading
and Writing Arrays

02

Working with
Arrays

03

Data
Manipulation

04

Data
Aggregation

05

Mathematical
Operations

06

Broadcasting
data

07

Statistical
Analysis

08

Handling
Dates

Course Curriculum

Requirements

  • Courses Page1 Designed for absolute beginners. No prior experience required.
  • Courses Page1 Logical Reasoning
  • Courses Page1 Curiosity and intent to learn

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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