8 Best Laptops for Data Science (2020) Review

by Amelia Grace | Last Updated: October 10, 2020

Having the best laptop for data science can remove your worries regarding the mediating functions that they are going to perform for you. If you are a student, your work must demand one because of the absence of remote servers in many cases.

All it requires is a faster and energetic processing system, a responsive operating system, tons and tons of storage, and all the facilitations one demands. However, it can test your patience because the pre-requisitions may vary according to the work type.

All being said, data science can be demanding in terms of time and money as well. So, you must be willing to pay the worth for the good and quality product in your hands. Moreover, outlining the necessary functions with the work demands can assist you in choosing the right product.

However, specific requirements must not be compromised, such as 8GB storage, at least for a better work experience impaired with the CPU, OS, and the processor. This article presents you with the list of best laptops for data science while keeping in mind all the necessary features that can prove beneficial for excellent work experience.

1. Acer Swift 3 SF314-55G-78U1 Laptop

Acer Swift 3

The Acer Swift 3 comes with all-metal quality having the aluminum finish that makes it reliable and concrete. Despite having the metal casing, this doesn’t feel heavy and possesses a lightweight that can help you improve portability. Also, it has a quick responsive keyboard.

The display is the game changer with the perfect blend of vibrancy and the dark screen. It offers a 1080p resolution that can help you with the heavy web pages also. It provides a wide-ranging angular view, but continuous use in the sunlight can be an issues because of the glossy screen.

Keeping in view the price, Acer Swift 3 has a minimalist yet aesthetic appeal which is value for money in this budget. If you wish something more quality build then you might want to check out the best laptop under 1000$.

It offers 8GB RAM and 256GB SSD with the perfect integrated graphics. The roomy storage with brilliant performance is a win-win for the data scientists. Also, it performs absolutely well with its quad-core processor with an impressive amount of time relative to other premium models.

It provides the Type-C ports with HDMI for the massive video output and the perfect SD slot that adds the character and value to the laptop. Given all these features at comparatively affordable prices, it proves better than many expensive and premium laptops.

PROS

  • Innovative design
  • Excellent graphics
  • Roomy storage
  • Brilliant processor
  • Budget-friendly

CONS

  • Short battery life
  • Display issues in daylight

If you are looking for a mid-range product, it is one of the best laptops for data science. It provides excellent graphics with a perfect large room for storing files and a fast processor that can prove significant for data analysis and related work jobs.

2. Lenovo – Yoga 730

Lenovo Yoga 730

The Lenovo Yoga 730 is lightweight and portable with a 13 inches touch screen. If you are looking for a hybrid laptop cum tablet, this Yoga is the best with enhanced portability and weight optimization. You can travel with it by leaving the baggage.

It provides 8GB RAM with 256GB SSD with an Intel i5 core processing system that proves it one of the best. It also offers the perfect interface based on the Samsung model that is absolutely best for data and related tasks. From performance potential, it can be ideal for data science.

The battery hours it provides are remarkable with 10 hours of time with a video playing in the background and the wifi and Bluetooth. It is above average and adds to the working hours of the laptop. Keeping in mind the price range, Lenovo Yoga 730 is ideal for the active battery life.

Its touch has an excellent response system with a brilliant display that contains the IPS (In-Plane Switching technology) that is perfect. The IPS also helps the user with viewing angles. However, the fingerprint in the tablet mode can present minor issues in working.

PROS

  • Highly portable
  • Large storage
  • Fast processor
  • Affordable price
  • Above-average battery
  • Responsive

CONS

  • Average graphics
  • Average display
  • No slot for SD

If you are looking for a laptop that is hybrid with a fast processor and has roomy storage with an ability to respond effectively, this Lenovo Yoga 730 is best at a reasonable price. It is an improved version of the 720 and provides more opportunities for excellent work with efficient battery life and fast charging.

3. New Apple MacBook Pro 16

Apple MacBook Pro 16

The ever-lasting and innovative with improved and modern design, apple MacBook is the perfect and ultimate best laptop for data science. Its enhanced portable with thinner and large 16 inches screen is a blessing for the user. Also, its premium quality is remarkable.

The display is, even more engaging with an OLED screen that also offers touch features with the ultimate blend of colors and its optimization. The most significant selling factor is the pro-macOS Catalina that performs flawlessly with the brilliant capabilities having the sidecar feature that helps to use the iPad as a second screen.

From a performance point of view, the most potent and utmost best product is the Macbook pro 16 with the 8- Intel CPU and 8GB RAM with the 8TB SSD. It is the ultimate product data scientists desire to have in their collection. Also, it offers the i9 Core Intel processor that adds to the character of this device.

It offers six speakers with the boasting sound that is neither distorted nor minimal or muted. It provides the perfect audio quality for a laptop. Also, the 1080p HD resolution on a large screen is a fascination that is qualitative with brilliant graphics.

Moreover, it offers a long battery life. It can work for 11 hours with a 1080p HD resolution video working in the background with increased brightness, and the wifi switched on. The long battery increases the working hours that can also assist the data scientists.

PROS

  • Innovative design
  • Excellent display
  • Long battery life
  • Fast processor
  • Extra-large storage
  • Brilliant graphics

CONS

  • Expensive

The best laptop that can facilitate the data analysis and related processes with its Mac OS and the i9 core processor can be this MacBook Pro. It provides long working hours with excellent display and resolution. The large 16 inches touch screen can be the ultimate fantasy for users with brilliant graphics.

4. Asus ROG Strix Scar III

sus ROG Strix Scar III

The ASUS Strix Scar III is the aluminum-based casing with vertical and slanting pattern meeting on a logo that adds elegance to the outlook. Also, the copper is added on the keyboard to support the ports and slots. In essence, it is tangible and concrete with improved durability.

The display overall is above average with brilliant color optimization. It offers 1080p HD resolution with blending colors. Also, sunlight exposure does not have a significant influence over brightness. So, the user is able to work entirely outside with less intelligence.

It offers 16 GB RAM and the i7 core processor that is above average for the data analysts to work on. Also, it provides 1080 p resolution with 1TB SSD that can further enhance the storage and is one of the best for data science.

The keyboard is bouncier and provides the perfect sensation of typing. Also, the background light is ideal for typing. Moreover, the touchpad is smooth and responsive, with excellent tracking. That is why it is appreciated among the user for quality service.

The overall battery life is above the average laptop out there and hence, can prolong the working hours. So, the user feels at ease and convenience to use it without the availability of a charger 24/7. Also, the user can use it with average local video in the background with wifi on.

PROS

  • Durable
  • Brilliant graphics
  • Fast processor
  • Large storage
  • Above-average battery

CONS

  • Lack portability
  • Absence of webcam

If you are looking for a typical, conventional, yet useful laptop for data science, it is ideal for you. It offers large storage with a perfect and energetic processor having prolonged working hours. Also, it contains brilliant graphics with a decent display that adds to the value of this ASUS ROG Strix Scar III.

5. Acer Nitro 5

Acer Nitro 5

It comes in a conventional and typical design, nothing innovative yet efficient in working with a matte finish containing plastic as the dominant material. It has a lightweight that promotes portability but can not be called travel friendly. It also includes ports that are Type A, B and C with an HDMI port and the SD card slot.

The display is above average with 1080p HD resolution having the IPS technology. The IPS technology can assist the laptop in color optimization with the brilliant application of popping colors. Also, the dark screen and mode are excellent, with everything bright with a better resolution.

The Acer Nitro 5 contains 8GB RAM with the 2.4 GHz Core i5 processor that can run the laptop smoothly without any apparent hurdle. It has the capacity to run 25 webpages at the same time, providing no barrier to surfing. Also, its roomy space can help data scientists to work efficiently.

Overall, it claims a long battery of 7 hours that is well-equipped. On working with the wifi-on and the brightness with web surfing, the battery can last up to 4 hours and 45 minutes. That is also a milestone considering the price and features of this laptop.

It comes with a webcam having a 720p resolution that is not bad for a laptop camera. However, the speakers are not up-to-the-mark in performance, having the distorted sound that can be a problem for a few users but not a major one.

PROS

  • Excellent display
  • Long battery life
  • High performance
  • Concrete design
  • Above-average webcam
  • Budget-friendly

CONS

  • Audio issues
  • Conventional design

If you are in search of a typical and conventional design within the specific mid-range price, this Acer Nitro 5 is the best for you. It can provide excellent features, including the large space, fast processor, and the long battery life that can be the concern for any data scientist or working in the respective field.

Read Our Latest Reviews: Best Laptops for Writers

6. Acer Aspire 5

Best Laptops for Data Science

It comes with an innovative and modern aluminum and silver design with a logo that appeals to the eyes with the type A, C, HDMI, and the SD card slots that also adds to the characters of the laptop. Also, it is lightweight, portable that makes it user-friendly and best for traveling.

It contains a 15.6 large screen with an excellent display having a 1080p HD resolution that is perfect for color optimization and any video experience. Also, it has the ideal color optimization with the intelligent black or dark mode that shows everything clear and without any blur graphics.

From a performance point of view, it is above average in comparison to the competing models in the market. It is equipped with the Intel Core i5 processor that works efficiently with 4 GB RAM that may not be excellent for the data related work. But, have the capacity to add external storage that can solve the problem.

It not only provides an edge in the performance and graphics but contains a large battery having an experience of 8 hours and approximately half hours above with wifi on with webpages. It can uphold the capacity of 30 webpages that is efficient from performance potential as well as battery.

It also provides a webcam with a 720p resolution that can pop the colors beautifully with any grainy structure on the screen. Also, the heat up system is not over powering, and that is what makes the laptop brilliant in working. It only goes up to 88 degrees Fahrenheit, that is not bad, and don’t mess with the working.

PROS

  • Innovative design
  • Excellent display
  • Performance potential
  • Webcam
  • Long battery life

CONS

  • Lack of quality material
  • Average graphics

If you are searching for the laptop that is worth the money and provides a better experience for data analysis and data storage, this Acer Aspire is right for you. It is one of the best laptops regarding the data related work with its fast processor coupled with the perfect performance potential and long battery life.

7. Apple 13″ MacBook Air

Apple MacBook Air

The best and modern design of the Apple Macbook Air is aluminum material within gold, silver, and gray color that has a large 13 inches screen. It is also lightweight and concrete that makes it travel as well as user-friendly. The slim and thinner design with rounded edges makes it more appealing to the user.

It has the perfect display with Apple’s True Tone feature that optimizes and displays perfect color optimization and blend without any blurry graphics. Also, it is equipped with 343 nits brightness that is enough to be categorized as premium and works perfectly fine for dim light as well.

It has excellent performance potential and works efficiently with its 8GB RAM and the Intel Core- i5 processor that is one of the proficient and potential processors. It is one of the best laptops for data science and related analysis with up to 30+ web pages and high resolution.

It has a proficient long battery with an excellent working experience overall. It provides 8 hours and 15 minutes long battery life with wifi on and web surfing, including the sharp brightness level. Hence, its long battery life adds excellent value to the MacBook Air.

It offers a 0.7 Megapixels camera that provides it an edge in performance and does not allow the grainy structure to ruin the pixels. Also, the laptop does not heat up and can go up to a maximum of 91 degrees Fahrenheit that is not bad and cools down instantly with a masterful performance.

PROS

  • Modern design
  • Large storage
  • Brilliant display
  • Excellent webcam
  • Long battery life

CONS

  • Expensive than usual

If you are in constant search of a laptop that can facilitate you in the best way for a performance point of view and the battery life, this MacBook Air is best for you as someone working for data-related projects. It offers an excellent display with brilliant technology having the perfect battery life, roomy storage, fast processor, and the long working hours.

8. Razer Blade Stealth 13

Razer Blade Stealth 13

It comes with an intensely thin and lightweight model that enhances the portability of the laptop. Despite being less stylish and conventional, it is made up of hard and high-end aluminum that makes it reliable and concrete. Hence, it is user-friendly as well as durable.

It comes with a 13 inches screen with a 4K display that promotes excellent display features. Its brilliant collection contains perfect color optimization without any blur pixels. Also, it enables sharp graphics that promote 48 frames at a time. It is perfect, keeping the range in mind.

It comes with an Intel Core i7 processor that is perfect for data science, analysis, and related work realms. It works on Windows 10 with enough storage to support the related projects having the ideal efficiency.

It provides a long battery life that extends the working hours to promote quality working. It has the best battery performance of 10 hours without wifi technology and dark mode. Having wifi on and certain webpages working on the background, it works for 8 hours. Certainly, that is extraordinary in this case.

Although this is considered to be the best laptop in this category but this is a little expensive. This is the reason that we have also listed best laptops under $600.

PROS

  • Innovative design
  • Brilliant display
  • Large storage
  • Fast processor
  • Large battery

CONS

  • Ports issues

If you are in search of the perfect and efficient laptop for data science or relative fields, this Razer Blade Stealth 13 is ideal for you. It provides excellent storage with a fast Core i7 processor that can fulfill all your needs from performance potential. Also, the large battery life can work efficiently, extending the working hours.

FAQs

Which laptop is best for data science?

New Apple MacBook Pro 16 is the best laptop for data science with its fast processor, spacious and roomy storage, perfect OS, and long battery life. Moreover, its long battery life and the brilliant design adds to the personality of this laptop.

Is the MacBook Air good for data scientists?

MacBook Air is one of the best data science laptops because of its large storage and the fast processor. Its brilliant design and clever performance potential are evident of it being among the best with long working hours and brilliant graphics.

How much RAM do I need for data science?

The RAM can vary from laptop to laptop based on the model and processor the laptop is equipped with. However, the minimum range of 8GB RAM is perfect for anyone who is working in the realm of data analysis and related projects.

Which processor is best for data science?

The processor is dependent on the kind of work it demands. Hence, the laptops ranging from Core i5 to Core i9 can be categorized as ideal for working on data-related work. Here, the best models include the Apple Macbook Air, Macbook Pro, Acer Nitro 5, and Acer Aspire 5.

How do I choose a laptop for data science?

The laptop for data science must have some attributive features, including the fast processing system, large storage space, operating system, and the long battery life that works continuously. However, mostly, the laptops for data science are used as mediating bodies with a large server.

Wrapping Up

The shopping and the struggle of investigating the best laptop for data science can be an uphill task for anyone who is firmly invested in this work. However, having a guide for attributive features can play a vital role in promoting the ease and convenience of buying.

In order to ensure landing in the safest position yet fulfilling your desires related to the dream product, you must need a detailed, comprehensive guide impaired with in-depth research. Here are some recommendations keeping in mind the best potential for the users.

In essence, go with your desires, wants, and in-depth, researched characteristics. It can assist you with the quality and performance potential. Also, never compromise on the features that are necessary for the data analysis, including the processor, OS, and storage. So, it will play their part in the performance.