Laptop for data science

Introduction

Being an information scientist is not easy. Dealing with a lot of data can be very tedious, especially when it comes to collecting, collecting and analyzing a lot of information, so it requires a good laptop for data science. In this article, you can see some good laptops for data knowledge in 2020.

It does not even include providing information in a way that benefits a business or organization.

However, a good laptop can make things a lot easier. This guide breaks down some of the best laptops for data knowledge on the market and analyzes why they stand out.

I want to show you some laptops that are the best and most suitable for a data scientist and you can choose the option you want according to your budget.

Review of Laptops for data science

Choosing a laptop for a data scientist can be difficult because you have to consider several aspects. However, before proceeding, you should know that most specific data activities start on a remote server, and the computer acts primarily as an intermediary.

However, if you do not have an internet connection, you need to be blurred when you need a responsive operating system, a faster processor (but not an Intel Core i9) and an enviable storage space for more balanced performance. Also, if you are a student, most of the work is done by your own computing machine (not all universities provide remote server access.)

In addition, data scientists use several programs and tools to analyze datasets, databases, and more. Things like Tableau require a lot of processing to visualize the data or the Terminal or connect the device to the Data Server. Many professionals often need SQL management resources such as Workbench and prototyping tools such as Anaconda to simplify their work.

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To begin with, the operating system is a key factor when choosing the right device for data science. If you are connected to a remote server, macOS works best, however, you can always choose a Windows 10 machine but have Linux.

If you end up using a remote server for your work, you will not need a very powerful device. However, to make the most of the tools mentioned, the device must have a powerful, multi-core processor, convenient and fast SSD-based storage space, and considerable RAM. In addition, the device should also have a decent screen, followed by an ergonomic keyboard and a coherent set of usable ports.

Only if you work alongside neural networks, machine learning and entertainment in parallel computing, you need to choose a device with a powerful GPU. However, since the graphics card is not expandable, you should always choose one that can do the job for you (do not worry about raising the budget, because what is the use of buying a laptop that can not do your job? Has) I bought it for?)

Data science laptop specs 

Storage

Storage is one of the most important features of any data scientist looking for a new laptop. Likewise, always know which hard drive you prefer: HDD or SSD.

The HDD drive takes longer to work and has a lot of moving parts. For this reason, it is better to provide a device that has SSD storage space.

As long as it comes with an SSD, you can handle the HDD. Never buy a device with HDD alone.

operating system

Choosing your operating system is a matter of personal preference.

If you are an avid Mac OS user, you can go for MacBook Pro or MacBook Air. If you like Windows, work with it instead.

GPU

Data scientists can not do their job without a strong graphics card. Always look for cars that have advanced graphics.

This not only allows you to work without any delay, but also allows you to play certain games.

Screen size

Screen size is another factor that should be considered before preparing a new laptop.

You need to know how suitable it is for your work as a data scientist, especially if you do not want to strain your eyes.

Most professionals choose a 15-inch screen. However, if you analyze the data only as a part-time job, you can go for a smaller 13-14-inch laptop like the MacBook Air.

Portability

If you are not going to work in an area where you have to move a lot, you no longer have to worry about the size and weight of your laptop.

However, if your job requires a lot of travel, then you should consider going with a lighter model.

Processor

Many of today’s laptops come with Core i3, Core i5 or Core i7 processors. Data scientists want laptops with Core i7 processors because they have more power.

Such systems are capable of heavy tasks such as design or editing. Core i5 laptops also offer quality performance.

other

You will use external monitors and keyboards for your daily tasks.

As mentioned, an HP full-size keyboard with at least a 15-inch screen is standard in the data science world. The best data science laptops also provide flexibility.

You can also consider a convertible model from the list of the best laptops for data analysis.

They let you choose from several work modes, such as tent or stand mode for storytelling, tablet mode for one-on-one sharing, or laptop mode for low, dirty work time.

Read more:

• Lenovo vs Dell: Which Brand is better?
• Asus Vs. Acer: Which Brand is better?
• Lenovo vs HP – Which Brand is better?
• Top 5 laptop with SSD

Top laptops for data science in 2020 

Dell XPS 9570  

This is equipped with the latest 8th generation of Intel Core i7 processor that can push some incredible processing power. 

It is equipped with the latest generation 8 Intel Core i7 processor that can boost incredible processing power.

It works in combination with 16 GB of RAM, 512 GB of SSD memory and a dedicated NVIDIA GeForce graphics card.

Data scientists enjoy the Infinity Edge IPS display with the ultimate focus during their work days.

Not only does it provide a comfortable view from different angles, but it also offers a narrow bezel that improves the overall ratio.

Wherever you go, you want to take the XPS 9570 with you.

This is a very slim laptop for data science that hides all the computing power in its lightweight body.

The slim bezel display is added to the overall glossy design along with the matte carbon design.

Finally, I can conclude that if you are looking for the best laptops for data science and data analysis but also for personal use – there is no better option than the Dell XPS 9570.

This is a very sturdy laptop that is very lightweight for powerful configuration and hides the inside with a beautiful design.

Pros 

• Quad-core processor 
• Powerful processing power 
• Infinity Edge IPS 
• Durable aluminum design 
• Dedicated graphics card 

Cons 

• Fan can get a bit noisy when doing heavy work 

Apple MacBook Pro 

Apple’s famous Retina display has always been improved, and the Apple MacBook Pro includes True Tone technology that optimizes the screen to suit the user’s eye for the most comfortable viewing experience.

The Apple MacBook Pro delivers stunning images with great viewing angles.

For easy and versatile work, Apple’s innovative touch bar allows data scientists to be more productive.

Instead of holding the mouse every time, data scientists can easily switch between tabs or applications by touch – and much more.

Apple will never disappoint them, especially with the Apple MacBook Pro which has a super-fast 256GB SSD, dual-core Intel Core i5 processor, 2.3GHz, 8GB of RAM and Intel Iris Plus Graphics 640.

Apple MacBook Pro reduces downtime and helps you speed up file transfers

As a result, when it comes to data scientists’ adaptability – there is no better laptop than the MacBook Pro running Apple Mac.

Apple MacBook Pro offers a very convenient and very beautiful configuration and durable design. Not only does this laptop perform well, but it will be very attractive wherever scientists use it.

Pros 

• Retina display 
• Thunderbolt 3 ports 
• Dual-core Intel Core i5 processor 
• Intel graphics card 
• Up to 10 hours of battery life 

Cons 

• Keyboard might not be a great fit for everyone for data science purpose 

Dell Inspiron 15 5000

There is no better way than to trust two storage drives that work together for optimal speed and space.

Therefore, the Inspiron 15 5000 has both HDD and SSD memory, Intel Core i7-8550U processor, 1.8 GHz, 8 GB of RAM and 128 GB of SSD + 1 TB HDD memory, which offers fast and fast performance.

Although touch screens are not very common in data science, more efficient cutting corners and multitasking may be helpful.

This full HD IPS touch screen is very responsive and you can even use it with any screen pen.

You will never have to worry about connecting to this laptop because you will be equipped with many ports.

It includes 3 USB ports, headphone / microphone, HDMI port and even a dedicated battery storage space.

If you have to stick to your budget and think you do not have many options.

On this occasion, the Dell Inspiron 15 5000 is one of the best laptops for science because it has a very convenient configuration that can be upgraded and at the same time provides greater value.

Pros 

• Ultra-low voltage performance 
• High processing power 
• Turbo Boost Technology 
• Touchscreen display 
• Decent battery life 

Cons 

• Sound quality is an average 

Read more:

• Dell vs HP: Which Brand is Better? Why?
• Is Acer a good brand?
• Best Core i7 Processor Laptops in 2020

Microsoft Surface Pro 6 

Wherever you go and wherever you work – you will enjoy using Microsoft Surface Pro 6, which is slim and light due to its 3 modes of use.

You can use it in a standard model, which is laptop mode, in a studio mode, which is ideal for presenting data science, or as a tablet, which you separate the keyboard cover for better access.

Data scientists often confuse this laptop as a tablet due to its very thin and slim design.

If you’re someone working – you’ll enjoy the lightweight Surface Pro 6 offer.

Still, the design is solid and durable with the 1.3 GHz Intel Core i5-8400T processor, 8 GB of RAM, 128 GB of SSD and Intel UHD 620 graphics card.

Additional accessories must be purchased, but Microsoft offers custom accessories that you can choose from.

They include a keyboard / cover, stylus or mouse – and yes, they are well worth the extra investment.

Having a laptop, instead of adapting yourself to a laptop, fits your needs, and that’s what Microsoft Surface Pro 6 has to offer.

It is a very light and lightweight laptop that still offers powerful packages and is one of the best laptops for science data.

Pros 

• Ultra-slim and light design 
• All-day battery life 
• Powerful processing power 
• Custom accessories available for purchase 
• Different ways of use 

Cons 

• Speakers aren’t very quality 

ASUS ROG Strix Scar II 

This is one of the most powerful laptops on the market right now. It may even be much more expensive than other laptops.

The ASUS ROG Strix Scar II has a configuration that does not slow you down and offers a great experience.

ASUS offers a slim display that increases aspect ratio, offers a better viewing angle and is more comfortable in the eye – no matter how long you stare at the screen.

It even gives you a very fast 144Hz refresh rate so you never notice a delay.

If you rely more on Wi-Fi, you’ll love the Range Boost multi-antenna feature that ASUS has introduced to improve connectivity.

Uploading and downloading files has never been easier, thanks to technology that improves Wi-Fi speed and improves connection reliability.

So, when money is nothing, the ASUS ROG Strix Scar II is the laptop you should be looking for.

With a core kernel processor and a powerful dedicated graphics card, it takes things to the next level. Surely, this laptop has given every scientist a dream.

Pros 

• Most high-end laptop configuration 
• Hexa-core processing power 
• IPS type display 
• Dual storage drive 
• Hypercool Pro thermal system 

Cons 

• Battery life is sacrificed because of ultra-powerful performance 

 Huawei Mate Book X Pro 

The Huawei Mate Book X Pro, also known as the budget version of the Apple MacBook, is all about built-in.

This sleek device comes with the same specifications that Apple has put in its cars, including the same graphics card, screen resolution and battery life.

It also has a battery life of 9 to 10 hours. A great choice for people who travel a lot.

Plus, it has a great battery life of up to 9 to 10 hours, making it an ideal choice if you travel a lot.

This laptop is light and very slim, two features that increase its comfort and usability.

Pocessor:1.8 GHz Intel Core i7-8550U Quad-Core 

RAM: 16GB LPDDR3 |  

Storage: 512GB NVMe PCIe SSD 

Display: 13.9″ 3000 x 2000 Multi-Touch  

Graphics: NVIDIA GeForce MX150 (2GB GDDR5 

Pros 

• High performance 
• Portable 
• Lightweight 
• Extended battery life 

Cons 

• Laptop fans can run loud at times 

Dell 15.6″ 

If you are a data scientist and you work mostly in video software, you will be very interested in using NVIDIA GeForce GTX 1050 Ti for this laptop.

In addition, the Dell 15.6 is also equipped with a quad-core Intel Core i5-8300H, 2.3 GHz to 4.00 GHz, 16 GB of RAM and 512 GB of SSD + 1 terabyte of HDD.

What is also worth noting is that this is a Ti version that can be added even for a higher level of performance.

For the safest file transfer, storage space and data science reliability – Dell has two storage drives.

One of them is SSD, which is ideal for operating systems and some software, and then you have an HDD that is suitable for storing all data knowledge.

Dell has a very convenient and powerful configuration inside a beautiful and slim design made of durable plastic.

In this way, both visual and durability are considered. Also, believe us, you will love the touch of this laptop – just great.

Accuracy of storage space has never been easier than with the help of the 2019 Dell 15.6 ″ laptop, which combines both SSD and HDD memory and gives users plenty of space to perform well.

Pros 

• Dual storage 
• High-end performance 
• Increased connectivity 
• Lean and sleek design 
• Long-lasting battery life 

Cons 

• Can overheat during gaming 

Final words 

This guide should give you a better idea of ​​where data science laptops are.

But whatever option you decide to choose from this list, it is ideal if you are looking for the best laptops for science that fit your specific needs and budget.

The above list includes the best knowledge laptops available on the market these days. With some great specs, these laptops have a multifaceted personality.

You can use these for countless other activities such as fast browsing, enjoying games, video chat, as well as running various data science related programs.

As a complex field of technology, data knowledge requires laptops built with agile features.

So be sure to choose one that fits your needs and travels a long way with you!