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Numpy Practice Test : Python Certification Mock Test

Numpy Certification Mock Test
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Numpy Practice Test for Students who completed Python Course : Challenge your Python knowledge NumPy is a Python package which stands for ‘Numerical Python’. It is the core library for scientific computing, which contains a powerful n-dimensional array object, provide tools for integrating C, C++ etc. It is also useful in linear algebra, random number capability etc. NumPy array can also be used as an efficient multi-dimensional container for generic data

The Python practice online Test is for those trying to become a Data Scientist.

Entry Level (0-4 yrs Experience) Data Scientist earn on an average $95,000, Mid-level (4-8 yrs Experience) Data Scientist salary is average $128,750, Senior level (8-10 yrs Experience) expect salary $150,000.

If you have skilled in Deep Learning , AI , Big Data you can bet that you will pay handsomely.

But if you done most your work in excel it will be difficult to get very high salary.

To get this position there is some skills you should master ,

1. Python or R Programming,

2. Big Data

3. ML and AI

4.Tools like Tablue

To setting algorithm, doing Mathamatical Predictions, Solving Statistical Errors Numpy and Scipy Library of Python is Used.

In This Test We given questions which test your Knowledge.


This Practice test gives you real exam like environment, and question much like the questions of the Data Science certification Exam.


We covers below topics in this test as you see like syllabus below,

1. Numpy Ndarray Objects

2. Numpy Data Types

3.  Array Attribute

4. Array Creation Routines

5. Array from Existing Data

6. Array from Numerical Ranges

7. Indexing Slicing Broadcasting

8. Iterating over array

9. Operators

10. Functions

11. Byte Swapping

12. Linear Algebra

13. Matplotlib

14. Histogram Using Matplotlib

There will not any limit to attempt this test, but ideally if you learn python and numpy from anyy Bootcamp or taking any online/offline course , you must attain 75% in both test.

There is no limit to gain knowledge, try practical resources , build small projects , solve open challenges, earn reward using kaggle, using this kind of practices you are very close to your destination to become Data Scientist.


Thank you so much taking interest in me and taking my challenge to solve my Practice set which is very hard to beat made by me with making time of 3 months for Certification in Python.



Numpy Practice Test : Python Certification Mock Test
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