Selection: 5 Best Laptops For Data Science

Selection: 5 Best Laptops For Data Science


If you invest once in the purchase of such a laptop, you will make a very profitable investment for years to come. But sometimes you can face such a problem when you choose a laptop, and interesting things are told about it on the Internet, but in fact it turns out to be nonsense.

Laptop Buying Guide: 11 Factors to ...
Laptop Buying Guide: 11 Factors to Find The Best Laptop

So that you do not get into such a situation, this article appeared so that you can know exactly what things to look for when choosing a laptop for data analysis. Of course, he must have a good FullHD screen so that the eyes do not get tired of long-term work. Also, it must have at least 8 GB of RAM, a processor of at least Core i5, and the video card must have at least 2 GB of memory.

Selection: 5 Best Laptops For Data ScienceImagePriceRatingBuy
Asus ROG Strix Scar III is the best laptop for data analysis and machine learningAsus ROG Strix Scar III is the best laptop for data analysis and machine learning$2,799.004.2
Razer Blade Pro 17 is the best laptop for statistical analysisRazer Blade Pro 17 is the best laptop for statistical analysis$1,989.664.2
HP Pavilion is a gaming laptop and the best choice for data analysisHP Pavilion is a gaming laptop and the best choice for data analysis$1,020.964.6
HP15-dy1036nr is the best budget laptop for data science studentsHP15-dy1036nr is the best budget laptop for data science students$552.004.5
Lenovo Legion 5 is the best laptop for data analysisLenovo Legion 5 is the best laptop for data analysis$1,359.004.7

Asus ROG Strix Scar III is the best laptop for data analysis and machine learning

If you are passionate about gaming and data analysis, then this laptop is able to surprise you with its positive qualities.

The first thing to look out for in this machine is the graphics card. NVIDIA GeForce RTX with 8GB vRAM is installed here. This is a very powerful video card that can process large amounts of information very quickly. The large amount of graphics memory turns this laptop not only into a gaming machine, but also into a laptop ideal for machine learning.

Since the laptop is considered a gaming laptop, it has a good display. It has a gorgeous color balance, so you can safely work with programs such as SAS, MATAB, BigML.

For such a massive laptop, there should be good storage, and it is here - an SSD hard drive has 1 TB memory, and this is quite enough for installing games, and for various programs, and for storing data.

As for the processor, here it is the ninth generation, Intel Core i7, which has six cores, and also has 16 GB of RAM. But this is also not the most interesting thing to pay attention to. Since such a beast could get very hot during long work, and Asus has well foreseen this moment. The laptop has two great fans that literally kill the heat.

Specifications:

  • Display size: 15.6 inches;
  • Screen resolution: 1920 x 1080 pixels;
  • Processor: Intel Core i7;
  • RAM: 16 GB;
  • Hard drive: 1 TB;
  • Graphics coprocessor: NVIDIA GeForce RTX 2070;
  • Video card RAM size: 8 GB;
  • Operating system: Windows 10 Home.

Pros / Cons of the model:

  • Excellent FHD display with crisp colors
  • Huge storage;
  • A chic modern processor and a large amount of RAM;
  • Modern graphics card.
  • This laptop is quite expensive;
  • The company has poor customer support.

Razer Blade Pro 17 is the best laptop for statistical analysis

This laptop is specially designed for people who have to analyze a large data stream. Everything from a gorgeous display to perfect performance is perfectly matched in this laptop.

The most interesting thing to note here is a good matte screen, which produces the clearest picture possible. It also measures 17.3 inches, which is the most ideal size for a data analyst.

As for the technical part, I would like to draw your attention to the video card - this is NVIDIA GeForce RTX 2060. This provides unrealistic graphics. The processor is installed six-core, Intel i7, and 16 GB of RAM. All this provides unrealistic performance.

Specifications:

  • Display size: 17.3 inches;
  • Maximum screen resolution: 1920 x 1080 pixels;
  • Processor: Intel Core i7;
  • RAM: 16 GB;
  • Hard drive: 512 GB;
  • Graphics coprocessor: NVIDIA RTX 2070 Max-Q;
  • Video card RAM size: 8 GB;
  • Operating system: Windows 10.

Pros / Cons of the model:

  • Gorgeous display of suitable size and clarity;
  • Latest generation six-core processor;
  • Three Thunderbolt ports;
  • Large amount of RAM and a luxurious 512 GB drive;
  • Powerful graphics card.
  • The first drawback is that the laptop is quite heavy;
  • Plus, it has minimal heating issues that can be solved by purchasing a dedicated fan stand.

HP Pavilion is a gaming laptop and the best choice for data analysis

This is a great option for data analysis, with a mid-range price tag. With it, you can not only play heavy games, but also engage in data analysis.

The first thing I want to note about this laptop is the screen, here it measures 17.3 inches. The display gives excellent results thanks to a special anti-glare technology. With its help, the display shows very bright and clear pictures.

Since this is a mid-range laptop, very demanding games and programs can cause some problems in its performance. It has 8GB of RAM along with a tenth generation Intel Core i5 processor. There is also a good NVIDIA GeForce GTX 1650 graphics card with 4GB of memory. All this provides good performance. For example, you can work with programs such as MATLAB, SAS.

In addition, an interesting feature of this laptop lies in the well-thought-out battery - it is able to work in autonomous mode for about 12 hours.

Specifications:

  • Display size: 17.3 inches;
  • Maximum screen resolution: 1920 x 1080 pixels;
  • Processor: Intel Core i5;
  • RAM: 8 GB;
  • Average battery life: 10.25 hours;
  • Operating system: Windows 10 Home.

Pros / Cons of the model:

  • Good quality display with white LED backlighting;
  • Powerful enough graphics card;
  • Ergonomic keyboard;
  • Modern tenth generation processor;
  • Good amount of RAM.
  • Very heavy construction, not suitable for carrying from place to place;
  • Very little SSD space.

HP15-dy1036nr is the best budget laptop for data science students

This model is intended for beginners who can study data science with this apparatus. This distinction is due to the fact that HP has created this laptop with special specifications for the basic software.

Since there is often a lot of data to explore, it can be difficult to constantly look at the screen. HP has taken good care of this and installed a WLED FHD anti-glare display on this model. This is one of the coolest displays you can find.

For the continuous science student, the portability of his device is very important. Therefore, the laptop fits perfectly in a backpack, and is light enough to carry it around with you.

The performance of this device is also excellent. It has a modern tenth generation Core i5 processor and 8 GB of RAM. This is quite enough to process data quickly and efficiently. It will handle programs like Python, BigML, etc.

In terms of battery life, this laptop is perfect for this, it is capable of withstanding up to 10 hours of battery life, and it also supports fast charging.

Specifications:

  • Display size: 15.6 inches;
  • Maximum screen resolution: 1920 x 1080 pixels;
  • Processor: Intel Core i5;
  • Graphics coprocessor: Intel UHD Graphics;
  • Average battery life: 10.25 hours;
  • Operating system: Windows 10 Home.

Pros / Cons of the model:

  • Adequate price;
  • Gorgeous anti-glare display;
  • State-of-the-art 10th generation processor;
  • Good battery life.
  • HP is considered to have poor technical support;
  • Unlike laptops from other brands, these are not very durable.

Lenovo Legion 5 is the best laptop for data analysis

Legion 5 primarily stands out for its stylish design, but this is not the only thing you can notice about this model. The screen is very well thought out, it has a clear FullHD resolution, so you can spend a long time studying data science without worrying about your eyes.

As for the video card, here it is of an average level, but at the same time very productive - NVIDIA GeForce GTX 1660Ti. Thanks to it, the laptop works well with basic tools at optimal speed.

If you have previously had some program that constantly freezes while working, or even was difficult to open, then on this laptop you will not face such a problem, since this model has 8 GB of RAM. In terms of storage space, there is a very fast 512GB SSD and a chic modern AMD Ryzen 7 processor.

Specifications:

  • Screen size: 15.6 inches;
  • Maximum screen resolution: 1920 x 1080 pixels;
  • Processor: AMD Ryzen 7;
  • Hard drive: 512 GB;
  • Graphics coprocessor: NVIDIA GeForce GTX 1660Ti;
  • Video card RAM size: 6 GB;
  • Average battery life: 5 hours;
  • Operating system: Windows 10 Home.

Pros / Cons of the model:

  • Bright high-quality display;
  • Stable 8 GB RAM;
  • Modern powerful processor;
  • Simple and comfortable keyboard.
  • Quite mediocre speakers, as they say, could have been better;
  • Very short battery life.

Special mention: ASUS Zenbook 13 as the best budget laptop for Data Science

However, we must also include a special mention in this comparison. The ASUS Zenbook 13 is probably, for 2022, the best laptop you can get for data science at a competitive price.

ASUS Zenbook 13 review

This is due to the fact that it hosts more power than any laptop on the market, unless you want to spend an incredibly unnecessary amount of money. With 32GB RAM, 1TB SSD, an amazing processor and more, it is by far the best laptop you can get for MS Office, however it might be difficult to find it actually for these exact reasons. However, you can still get great variations with 16GB RAM and 512GB SSD.

Specifications:

  • Display : 13.3” OLED FHD NanoEdge Bezel
  • Processor : Intel Core i7-1165G7
  • RAM & Speed : 16GB
  • Storage : 512GB SSD
  • GPU : Intel Iris Plus Graphics
  • Keyboard : Backlit/IR Camera/NumberPad
  • WiFi/Audio/Streaming Features : WiFi 6 (802.11ax) + BT 5.0
  • Operating System : Windows 10 Pro
  • Accessory : Sleeve, Adapter
  • Weight (lbs): 2.45

Pros / Cons of the model:

  • The thinnest bezels of the screen, but the display still remains full;
  • The most powerful processor for smooth operation;
  • A very good location of the keyboard, so when typing your hands will not get tired;
  • Large capacity storage for all your important data.
  • Overheating is a very common problem;
  • The model costs a little more than expected, but is worth the investment as it will pay off quickly.

The Best Laptop Buying Guide for Data Science Fans

If you have never faced such a task as choosing a laptop for data analysis, then here is a short guide, which includes the main points that are worth paying attention to.

Laptop portability. Of course, this is not the most important point, but it is worth paying attention to. Some laptops can have excellent technical characteristics, but at the same time have disgusting battery life. It should also be light enough and small enough to fit easily in a backpack.

Display size and technology. This is a rather important nuance, because data analysis requires a lot of concentration of attention on the monitor, and after such work, the eyes should not hurt.

Performance. A good laptop for data analysis and training should have approximately the following characteristics: a FullHD display, at least 8 GB of RAM, a processor of at least Intel Core i5 / AMD Ryzen 5, and a video card with at least 2 GB of memory.

Storage space. Since data analysis is a rather expensive process, the laptop should have at least 512 GB of storage capacity.

Budget problems. Everyone has them, of course, but it's better to spend a few hundred dollars more than settle for a lower quality laptop.






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