Data Science in Hindi (02 Numpy)

Why learn it?

Interested in the field of Data Science & Machine Learning? Then this course is 3nd step in that direction for you!

Data Science and Machine learning is everywhere. And If you want to learn it, then After Gaining Knowledge Of Python Programming, Numpy Programming Language is the One of the Basic but important building block in the field of Data Professional.

As Data science and data analytics become popular and specialized, Need for working with data array has exploded and Numpy Makes it easy to work with it.

Why ?

Because Numpy Helps analyzing and working with data with very simple ways.

In this course, you will learn how Numpy Library from Vary Basic So you can execute programs in most simple but Robust way.

This course has been designed by team of professional Data Scientists so that we can share our knowledge and help you learn Tool required to start with Data Science.

We Will Start with Understanding what are arrays !

We Will Then know how to print array in efficient ways.

Once we gain understanding of these basics then we will start performing more Operation in upcoming Demo/Practical .

We Will move on with Basic Array Operations !

Then we will find out what are Universal Functions !

we will also see how to perform Indexing and Slicing Arrays. alone with it we will perform Iterating Over Array,Reshaping Arrays.

Then we will perform Splitting Arrays Horizontally and Vertically.

Once we gain understanding how array operations are performed then we will Manipulate Image .

After this we will start looking at Advanced Concepts.

We will perform Shallow Copies Of Arrays using View,

Then we will perform Deep Copies of Arrays.

After this we will perform Indexing Arrays Using Arrays, along with Real world Data set.  We will perform Fancy Indexing with GDP Data.

then we will move on to understand Indexing with Boolean Arrays and Arrays with Structured Data.

After this we will understand most important concept called Broadcasting . We will visually see how arrays are Broadcasting happens in memory.

Once we gain understanding using animation, then we will perform Broadcasting Scalars and Arrays , Automatic Reshaping , Stacking Arrays.

After this we will see how visually see our arrays/data using Histogram.

We will also discover Miscellaneous Operations performed in Data Science world.

We will see get overview of Pandas Library along with Scipy Library.

and Finally we will find out what is Vectorization ?