NumPy for Data Science & Machine Learning: Beginner To Advanced

person icon Pruthviraja L - Team UpGraduate

4.2 ★★★★ ★

NumPy for Data Science & Machine Learning: Beginner To Advanced

Name: NumPy for Data Science &amp; Machine Learning: Beginner To Advanced
Rating: 4.2 (306 reviews)
Author: Pruthviraja L - Team UpGraduate

NumPy from Beginner To Advanced Level

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Pruthviraja L - Team UpGraduate

English [CC]

category icon Development ,Data Science,Machine Learning

Lectures -21

Resources -1

Duration -2 hours

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Course Description

Hi, welcome to the 'NumPy For Data Science & Machine Learning' course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.

So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn, scikit-learn for the machine learning algorithm, you are at the right place and right track. The course contents are listed in the "Course content" section of the course, please go through it.

I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.

Towards your success:

Pruthviraja L

Goals

NumPy For Data Analysis
NumPy For Data Science
Numerical Computation Using Python
How To Work With Nd-arrays
How To Perform Matrix Computation

Prerequisites

Basics Of Python
Anaconda Installation to work with the NumPy and Python
Basic mathematics
Willing to learn data analysis, data science or numerical computation for programming

NumPy for Data Science & Machine Learning: Beginner To Advanced

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction - Installation and Setup

4 Lectures

Preview of The Course 02:37 02:37
What is NumPy? 03:30 03:30
How To Install And Setup NumPy & Pandas 07:00 07:00
How To Work With The Jupyter Notebook 16:56 16:56

NumPy Basics

4 Lectures

Indexing In NumPy

3 Lectures

File Handling In NumPy

1 Lectures

Numerical Computation In NumPy

6 Lectures

Boolean Arrays & Sorting In NumPy

2 Lectures

Instructor Details

Pruthviraja L - Team UpGraduate

Python Training Bootcamp

Hi, I am Pruthviraja L with the Software Training and Solutions Team "UpGraduate", with more than 9+ years of Training and Teaching experience from Technical Institutes, Teaching is my passion. I've obtained my both PG( M. Tech) in Power Systems Engineering and UG(B. E) in Electrical and Electronics Engineering from V. T. U - Belgaum, Karnataka, India.

Our Team is Proficient in visualizing data to execute projects & set rganizations on the path to profitability. 9+ years of teaching experience in engineering institutes with programming skills in Matlab, Python, SAS, R, Tableau, Git & GitHub, Linux OS, Data Analsys, Data Science, Machine Learning, Data Engineer and enthusiasm in developing AI and Machine learning skills motivated us to involve in the dynamic working environment to utilize skills and maximize the profit for the organization.

I'm a Certified Data Analyst. I got certifications from various eLearning centers including Tutorialspoint, Intellipaat-Bengaluru, LinkedIn eLearning center, Coursera-IBM, Tableau, etc.

I've successfully published and presented 6+ research papers in various 'National & International Journals and Conferences'. I'm a member of various National and International Journals including Elsevier and IEEE.

I'm a multi-faceted software professional aspirant with demonstrated capability in deploying analytical and programming methodologies to extract insights for boosting and bolstering user requirements. Adept at conducting statistical analysis and data modeling for transforming raw data into actionable strategies.

I've written a student-friendly textbook in the electrical engineering field titled 'Elements of Electrical Engineering (ISBN: 9789386768001)' under the publication of 'I.K. International Publishing House Pvt Ltd', New Delhi-110016 India. The book is available in many countries including the USA and UK via Amazon and many other seller portals. The book is now started distributing under Wiley India Pvt. Ltd (ISBN: 9789389583939).

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NumPy for Data Science & Machine Learning: Beginner To Advanced

NumPy for Data Science & Machine Learning: Beginner To Advanced