Best Laptop For Data Scientist in India 2022[Latest Top Pick]

Q.1 How Much Ram Does A Data Scientist Need?

Now Ram cost is cheaper than any other component of the laptop and all the latest laptops come with at least 8 Gb of Ram.

The Size of the Ram is totally depended on how much data set you to want to process.

Use The Cloud Services

You can manage your work without any problem with smooth multitasking by using cloud service. You can simply load or create a reasonable amount of data into your system by using 8 Gb of Ram.

 Use Your Laptop Only

Here the size of the Ram is totally depended on the size of the data set that you want to create.

Is 8 GB ram is enough for data science?

A data set with 10k to 20k record sets can easily handle by a 4 Gb of Ram. The size of such kind of data is around 300MB. This is a small data set.

An 8 Gb Ram can handle 30 times the above mentioned data set. On the other hand, some statistics software like R and Python work great with 8 GB of ram, it would be better to have at least 16 Gb of memory. 

16 Gb of Ram (Perform Faster & Take Less Time)

With more memory, you can complete your data analysis work in less time.

Example: An algorithm with a large data set can complete the processing 80% faster with 16 GB of Ram than it gets completed in 8 GB of Ram. 16 GB of Ram is a must for the best computer for data analysis.

Q.2 Is Graphics Card Required For Data Science?

Data set is a combination of multiple things like it contain numbers, images, videos, etc. The best computer for data science must have a CUDA core architecture based dedicated GPU with at least 4 GB of VRAM.

Data is a collection of all these things so, for processing all type of data especially images and videos, you need a powerful GPU. 

Parallel processing requires the Graphics Processing Unit(GPU).  Some data analytic software demand GPU. 

Not every GPU perform great in this situation. In the market, AMD and Invidia launched their GPU and some budget-oriented laptops come with integrated GPU. 

Here a GPU with Cuda core perform the job well, which is only manufactured by Nvidia.  

All the laptop in this article come with 4 Gb of dedicated Nvidia GTX 1650 or 1650 TI GPU. They are come with decent amount of cuda core that is perfest for any king of data analysis.

Which application requires a  GPU?

Some data analysis software demands GPU to process images and videos fast. CPU is unable to process such kind of data.

Machine Learning & Deep Learning

Machine learning and deep learning software have libraries that utilize GPU to process data fast.

Most of the deep learning applications work on GPU and they are designed in such a manner that can not be handle by the CPU.

Specially CUDA core-based Nvidia GPU perform well in Machine learning and deep learning. 

What GPU to use for data science?

Simply the more CUDA core in a GPU the more performance you will get. all laptops in this article come with Nvidia GTX 1650 or 1650 Ti come with 800 to 900 CUDA cores that are enough for data analysis.

You can also go higher if your budget allows. It totally depends on the nature of the work and on your budget.

Which processor is best for a data scientist?

There are two players in the market that manufacture CPU:

1. Intel 
2. AMD

Intel is very popular for data science laptop but now AMD also introduces some CPUs which come with all the necessary instruction set required for data science.

Is Ryzen processor is best for data science?

Even in most cases, AMD processors provide the best value in terms of performance. AMD processors are cheaper than Intel but provide equal or some cases far better performance at less price.

For data science, a Ryzen 5 and Ryzen 7, 3rd or 4th Gen processor is the best value for money. The

Is i5 enough for data science?

Definitely, the Intel i5 10th or 11th gen processor is enough for data science. All the laptops in this article come with an intel i5 10th gen processor available in all the budget segments. 

Which is the best OS for data science?

Mac & Linux

Mac is very popular among data scientist. If you ever use a mac for programming so you know well that how it is easy to code o a MacBook than on a window based laptop.

The problem is MacBook is an expensive machine and most data scientist can’t afford it.

Mac is a Unix based system and Linux also provides the latest library support than a window laptop.

Window

A window machine requires more tweaks to run the code that’s not a problem with macOS or a best Linux based os for data science.

On the other hand, Microsoft Excel is a widely used software for data analysis. it performs well in the window and struggles a little bit in macos.

There are many advantages to using a window-based machine. 

A window machine provides better upgradable functionality than a mac based machine. You can buy a window based laptop with the same hardware configuration half of the price than Macbook.