NumPy, Pandas, & Python for Data Analysis: A Complete Guide

Coupon Verified on May 19th, 2026


Students : 18,300
Duration : 8 hrs
Avg Rating : 4.6
Original Price : $119.99
Discount Price : 100%OFF
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
Discount Price : 100% OFF       Rating : 4.3 (46 ratings)
Duration: : 4.5 hours
Instructor / Provider :

What you’ll learn

  • Basics of Numpy, Arrays, Lists.
  • Basic Mathematics (arithmetic, trigonometry, etc.)
  • Advanced Indexing and Boolean Masking
  • Data analysis using python
  • Data cleaning
  • Correlations

Who this course is for:

  • Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
  • Students and professionals who wants to do data analysis using python.
  • Python developer who wants to do analysis of tabular data.
  • Anyone interested in learning more about SQL, PostgreSQL, or basic data analysis!
  • Anyone who wants to learn about database and data management systems
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Deal Score+4
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Yes, NumPy, Pandas, & Python for Data Analysis: A Complete Guide coupon code is time-limited and may have limited redemptions. Once the coupon expires or reaches its usage limit, it will no longer be valid.

Is NumPy, Pandas, & Python for Data Analysis: A Complete Guide free download available?

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Can I get a refund for the NumPy, Pandas, & Python for Data Analysis: A Complete Guide course, If I purchased with a coupon?

Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.

If enrollment is done using a discount coupon, will a certificate be provided?

Yes. A certificate of completion is issued for NumPy, Pandas, & Python for Data Analysis: A Complete Guide after successful completion, as it is a paid Udemy course, regardless of whether enrollment was completed using a discount coupon.

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