NumPy For Data Science & Machine Learning

From Beginner To Advanced
Rating: 3.6 out of 5 (22 ratings)
3,162 students
NumPy For Data Analysis
NumPy For Data Science
Numerical Computation Using Python
How To Work With Nd-arrays
How To Perform Matrix Computation


  • If students knows Python, that is well & good
  • Anaconda Installation to work with the NumPy and Python
  • Basic mathematics
  • Willing to learn data analysis, data science or numerical computation for programm


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

Who this course is for:

  • Data Analyst Beginners
  • Business Analyst and AI Enthusiasts
  • Python Developers Beginners
  • Who Is Interested In ML, AI and Other Big Data Engineering

Course content

6 sections17 lectures1h 58m total length
  • What Is NumPy
  • How To Install And Setup NumPy & Pandas
  • How To Work With The Jupyter Notebook


Professional Educator, Software Trainer and Author
Pruthviraja L
  • 4.0 Instructor Rating
  • 126 Reviews
  • 36,168 Students
  • 2 Courses

Hi, I am Pruthviraja L, with more than 6+ 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.

I'm a Certified Data Analyst. I got certifications from various eLearning centers including Udemy, Intellipaat-Bengaluru, LinkedIn eLearning center, 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. Proficient in visualizing data to execute projects & set organizations on the path to profitability. 6 + years of teaching experience in engineering institutes with programming skills in Matlab, Python, SAS, R and enthusiasm in developing AI and Machine learning skills motivated me to involve in the dynamic working environment to utilize skills and maximize the profit for the organization.

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).