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tech consumer guide

Last updated on September 1st, 2020 at 03:41 pm

6 Best Laptops For Data Analysis in 2020

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Last updated on November 24th, 2020 at 11:27 am

Data Analysis is a broad field.

Data analysis is all about using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

More often than not you will need the help of computers to extract information. In this article, we list the best laptops for Data Analysis.

We also have a guide at the end of the article is looking for a laptop for data analysis. If these don’t fit your needs.


Position
First Place
Runner Up
Also Great
Snapshot
Lenovo ThinkPad X1 Carbon 7th Gen 14" WQHD (2560x1440) Ultrabook - Intel Core i7-10510U Processor, 16GB RAM, 512GB PCIe-NVMe SSD, Windows 10 Pro 64-Bit
New Apple MacBook Pro (16-inch, 16GB RAM, 512GB Storage, 2.6GHz Intel Core i7) - Silver
Acer Swift 3 Thin & Light Laptop, 14" Full HD IPS, AMD Ryzen 7 4700U Octa-Core with Radeon Graphics, 8GB LPDDR4, 512GB NVMe SSD, Wi-Fi 6, Backlit KB, Fingerprint Reader, Alexa Built-in, SF314-42-R9YN
What You Need To Know About The Laptop

A GREAT keyboard, performance and battery life. The Lenovo ThinkPad X1 Carbon is one of the best laptops.

A Unix based OS, fast processor, solid build quality and plenty of RAM make the Apple MacBook Pro a solid option.

The Acer Swift 3 is the best budget laptop for data science and analysis. Because its performance is only found in premium laptops.

Prime
-
Rating
-
-
-
Position
First Place
Snapshot
Lenovo ThinkPad X1 Carbon 7th Gen 14" WQHD (2560x1440) Ultrabook - Intel Core i7-10510U Processor, 16GB RAM, 512GB PCIe-NVMe SSD, Windows 10 Pro 64-Bit
What You Need To Know About The Laptop

A GREAT keyboard, performance and battery life. The Lenovo ThinkPad X1 Carbon is one of the best laptops.

Prime
Rating
-
Position
Runner Up
Snapshot
New Apple MacBook Pro (16-inch, 16GB RAM, 512GB Storage, 2.6GHz Intel Core i7) - Silver
What You Need To Know About The Laptop

A Unix based OS, fast processor, solid build quality and plenty of RAM make the Apple MacBook Pro a solid option.

Prime
Rating
-
Position
Also Great
Snapshot
Acer Swift 3 Thin & Light Laptop, 14" Full HD IPS, AMD Ryzen 7 4700U Octa-Core with Radeon Graphics, 8GB LPDDR4, 512GB NVMe SSD, Wi-Fi 6, Backlit KB, Fingerprint Reader, Alexa Built-in, SF314-42-R9YN
What You Need To Know About The Laptop

The Acer Swift 3 is the best budget laptop for data science and analysis. Because its performance is only found in premium laptops.

Prime
-
Rating
-

Last update on 2020-11-26 at 09:55 / Affiliate links / Images from Amazon Product Advertising API


Preview
Name
Rating
Processor, GPU & RAM
 
Lenovo ThinkPad X1 Carbon 7th Gen 14' WQHD (2560x1440) Ultrabook - Intel Core i7-10510U Processor, 16GB RAM, 512GB PCIe-NVMe SSD, Windows 10 Pro 64-Bit

Intel Core i7, Intel HD Graphics, 16GB
New Apple MacBook Pro (16-inch, 16GB RAM, 512GB Storage, 2.6GHz Intel Core i7) - Silver

Intel Core i7, AMD Radeon 5300M, 16GB
2019 Dell XPS 15 7590 Laptop 15.6' Intel i7-9750H NVIDIA GTX 1650 512GB SSD 16GB RAM FHD 1920x1080 500-Nits Windows 10 PRO (Renewed)

Intel Core i7, NVIDIA GTX 1650, 16GB
Lenovo_ThinkBook_15 Professional 15 Inch Notebook (Intel Core i7, 16GB RAM, 512GB NVMe SSD, 15.6' FHD, Windows 10 Pro) Business Laptop Computer

Intel Core i7, Intel HD Graphics, 16GB
Acer Swift 3 Thin & Light Laptop, 14' Full HD IPS, AMD Ryzen 7 4700U Octa-Core with Radeon Graphics, 8GB LPDDR4, 512GB NVMe SSD, Wi-Fi 6, Backlit KB, Fingerprint Reader, Alexa Built-in, SF314-42-R9YN

AMD Ryzen 7, AMD Radeon RX Vega 10, 8 GB
ASUS VivoBook 15 X512FA - 15.6' FHD - i7-8565U - 12GB - 256GB SSD - Silver

Intel Core i7, Intel HD Graphics, 12GB

Here Are The Best Laptops For Data Analysis


Pros

  • Great battery life
  • Top-notch keyboard
  • Lightweight
  • Great display

Cons

  • Pricey
  • Not the best speakers

CPU: Intel Core i7 | Graphics: Intel HD Graphics | RAM: 16GB | Screen: 14″ WQHD (2560×1440) IPS, 300 nits, anti-glare Display | Storage: 512GB SSD 

Lenovo ThinkPads are known to have one of the best keyboards in the laptop market. They have the right tactile feedback and key travel.

As a data scientist, a typing session can be long and a good keyboard helps a lot. You are able to type much faster and feel more comfortable.

In addition, the 14-inch WQHD (2560 x 1440) IPS which is anti-glare. Nice viewing angles, colour accuracy and reproduction along with an anti-glare display makes it easy on the eye.

Battery life is long about 10-11 hours of normal usage, close to half a day.

The Lenovo ThinkPad X1 Carbon also goes strong in the performance department. It basically fulfils are the requirements to handle large datasets up to a point that is.

A decent amount of RAM and a 512 GB PCIe NVMe SSD large enough to store your data files and access data very fast. The port selection is balanced – two Thunderbolt 3 ports and two USB 3.1.

Because the Lenovo ThinkPad X1 Carbon is a high-end machine, it comes with a hefty price tag.

The Lenovo ThinkPad is a solid laptop. It offers a lot in terms of its keyboard, battery life, portability, and performance. This makes it the best Lenovo Thinkpad laptop for data analysis.


Pros

  • Lightweight and thin
  • Great battery life
  • Solid build quality
  • Excellent performance

Cons

  • No type-a ports, you need a dongle
  • Pricey

CPU: Intel Core i7 | Graphics: AMD Radeon 5300M | RAM: 16GB | Screen: 16″ Retina Display | Storage: 512GB SSD 

The Apple MacBook Pro is one pricey workstation. And it’s also powerful.

An Intel Core i7 six-core processor, 16 GB RAM and an AMD Radeon Pro. The specs and operating system makes it great for data analysis, bioinformatics or deep learning.

Another great thing about the MacBook Pro is its battery life. It is able to last 9-10 hours of normal usage. On top of that, it weighs almost 4 pounds and a little over an inch thick.

You also have a 16-inch Retina display (3072×1920) which is gorgeous and bright.

The Apple MacBook Pro has four Thunderbolt ports which you can connect to an external GPU or high-resolution monitors. There are no USB Type-A ports so you need a dock to connect to other external devices.

The Apple MacBook Pro is a powerful workstation. Along with its solid build quality and customer support from Apple makes it a futureproof laptop. One of the best laptops for processing large amounts of data.

The only downsides are the price tag and Thunderbolt 3 ports.

Overall, the Apple MacBook Pro has solid build quality, great battery life, and performance to be considered the best data analysis laptop.


Where To Buy

$1,499.66

Buy On Amazon

Pros

  • Lightweight
  • Great battery life
  • Great performance
  • Linux compatible

Cons

  • Runs hot

CPU: Intel Core i7 | Graphics: NVIDIA GTX 1650 | RAM: 16GB | Screen: 15.6″ Full HD (1920 x 1080) IPS | Storage: 128GB – 512GB SSD 

The Dell XPS 15 is a Linux compatible laptop that can handle data analysis well. It has a solid build quality thanks to its aluminum design and weighs 4 pounds and less than an inch thick. One of the lightest laptops around.

Powered by an Intel Core i7 six-core processor and 16GB RAM. You have plenty of performance to run demanding tasks. And it has a 512GB PCIe SSD which will take a while to run out of space.

The display is vivid, bright and colour accurate. It’s a 15.6-inch Full HD (1920 x 1080) IPS with a brightness level of 500 nits.

The Dell XPS 15 has decent battery life. On average it is able to last 9-10 hours of normal usage.

It’s a solid laptop, but unfortunately it runs hot due to its powerful hardware. The good news is that it only happens when you play games.

Overall, the Dell XPS 15 is one of the best laptops for data analysis.


Pros

  • Solid build quality
  • Best price-to-performance ratio
  • Lightweight
  • Comfortable keyboard

Cons

  • Not the best display
  • Not an 8-hour battery life laptop

CPU: Intel Core i7 | Graphics: Intel HD Graphics | RAM: 16GB | Screen: 15.6″ Full HD (1920 x 1080) | Storage: 512GB SSD 

The Lenovo ThinkBook 15 is a great value laptop and a solid alternative to the Lenovo ThinkPad Carbon.

The keyboard is almost as amazing as the ThinkPad series. It has the right amount of travel and tactile feedback. This allows you to type for long periods.

Furthermore, it is also well-built, thin and lightweight. A mix of plastic and aluminum that offers good stability. It also weighs 4 pounds (2 kg) and less than an inch thick.

When it comes to performance, the Lenovo ThinkBook is a capable laptop. Powered by an Intel Core i7, 16GB RAM and a super-fast 512GB SSD. You have a laptop that is responsive, fast and efficient.

Battery life last about 6-7 hours. Although it is below average, it is still more than enough for a day’s work. However, 8 hours or more could have been better.

The display is also subpar. A 15.6 inch Full HD (1920 x 1080) that has low brightness and so not recommended for outdoor use. The colour accuracy is also below average. Fortunately, in data analysis. You are not dealing with colours.

Overall, the Lenovo ThinkBook 15 has a great price-to-performance ratio. Plus, it has a great keyboard. Highly recommended if you want the best computer for data analysis.


Where To Buy

$776.59

Buy On Amazon

Pros

  • Easy on the wallet
  • Good keyboard
  • Great performance
  • Solid build quality

Cons

  • Not the best speakers
  • Bloatware

CPU: AMD Ryzen 7 | Graphics: AMD Radeon RX Vega 10 | RAM: 8 GB | Screen: 14″ Full HD (1920 x 1080) IPS | Storage: 512GB SSD 

The Acer Swift 3 is the best budget laptop for data scientists and students. A solid aluminum body and a keyboard that delivers a comfortable typing experience. It is also light weighing 3.5 pounds.

Performance is great too even better than most expensive ultrabooks. Powered by an AMD Ryzen 7, 8GB RAM and a fast 512GB SSD drive. The perfect hardware configuration that will be able to provide you consistent great performance.

The battery life is also decent averaging 8-9 hours of normal usage.

A 14-inch Full HD (1920 x 1080) IPS. It is a glossy display so definitely there will be some reflections and viewing angles are also narrow.

All in all, the display is not much of a problem unless you work with a lot of colours. For the ports, it has two USB 3.0, a USB 3.1 and USB Type-C.

Overall, the Acer Swift 3 is a lightweight ultrabook that offers great performance at an affordable price. This makes it one of the best cheap laptops for data scientists and students.


Pros

  • Affordable
  • Thin and light
  • Solid performance
  • Good battery life

Cons

  • Not the best display

CPU: Intel Core i7 | Graphics: Intel HD Graphics | RAM: 12 GB | Screen: 15.6″ Full HD (1920 x 1080) IPS | Storage: 256GB SSD 

The ASUS VivoBook 15 is a solid budget laptop for data analysis. An Intel i7 quad-core, 12GB RAM, and 256 GB SSD, enough performance to do handle most of your data processing needs.

On top of that, the keyboard is backlit and provides a comfortable typing experience. It has the right amount of tactile feedback and travel.

The port selection is decent, a USB Type-C, USB 3.0 and USB 2.0. Talking about thin and light, the ASUS VivoBook weighs almost 4 pounds and it is just a little over an inch thick.

Battery life is also above average lasting 8-9 hours of normal usage. Even though, ASUS claims the display is colour rich in the specifications, it is really average.

The VivoBook sports a 15.6-inch Full HD (1920 x 1080) which has average colour accuracy and reproduction. Sharpness and brightness are decent.

Nevertheless, the ASUS VivoBook is a great laptop to start learning data analytics if you are a student or looking for something more affordable to buy.

You can always rely on cloud computing services if you think datasets need more computing power.

Overall, the best budget laptops for data analysis.


Is MacBook Air Good For Data Analysis

No, MacBook Air is not good enough for Data analysis because their hardware isn’t powerful enough.

Is Mac or Windows Better For Data Analysis?

Anyone is good for data analysis. It depends on your personal preference. All data analysis tools are highly compatible with Mac. When it comes to Windows, you need to install Ubuntu/Linux in addition to get the most out of it.

Are Gaming Laptops Good For Data Analysis

Yes, gaming laptops can be used for and offer great performance when it comes to data analysis. If you don’t mind the subpar battery life. They are a good choice.

What Kind Of Computer Do I Need For Data Analysis

Here are a few things to know when getting a laptop for data science and analysis.

What Processor Is Best For Data Analysis?

Since you will be working with datasets a CPU with sufficient or better processing speed is needed. The latest Intel or AMD processors are recommended. For Intel, i5 or i7. For AMD, Ryzen 5 or Ryzen 7.

Is Graphics Card Necessary For Data Analysis?

No, graphics cards are not necessary for data science and analysis unless it’s AI, machine and deep learning.

How Much RAM Do I Need For Data Analysis?

A minimum of 8 GB RAM. Always go for more RAM if your budget allows it.

RAM allows you to work with large datasets and also multitask without causing freezes or lagging in system performance.

Display

Since you will be looking at screens all day anti-glare displays are recommended because they are much easier on the eyes.

For information on what type of display to get you can read which laptop display is best? Matte or Glossy.

Budget

Budget is the first thing you should consider. It is what tells you how much you are willing to spend on a laptop. Therefore, you will look for the best if it’s within your price range.

Normally, the best laptops are expensive and cheap laptops have a lot of compromises. It is best to strike a balance between price and compromises.

Final Thoughts

Depending on the dataset, you might need a lot of processing power to run software for data analysis. Fortunately, the laptops listed in this article are more than enough.

That’s it for the best laptops for data analysis.

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