Best Laptop for Data Science 2020 – Top 10

Data science is the field of the present and the future, and isn’t going anyway anytime soon. Data science involves the study of both structured and unstructured data that is done with the help of many a tools available currently for data science including Python and R. For using those tools, one must have a solid laptop/desktop with great hardware requirements. So, in this article, we’ll discuss the best laptop for data science 2020.

In these days, to specify the probability and apply various statistical models on data, one has to go out and use several machine learning algorithms. The addition of neural networks for modeling has further put an emphasis on a stronger GPU.

That gets Keras and Tensor Flow in the game that require high specifications to run properly and model the data. So, having a strong and powerful laptop is obligatory if you see yourself as a professional data scientist in the times to come.

Hardware to look for in a Laptop for Data Science

For data science, one must have a laptop with good specs as written above. If we’re talking about the recommended system requirements, a laptop having a Core i7 processor (8^th gen or above) is optimum for Data Processing. Having a RAM of over 8GB is super cool and a strong GPU with a minimum VRAM of 2GB like the Nvidia GTX or RTX series would be recommended.

Best Laptop for Data Science 2020

Data Science requires good hardware specifications and a laptop for that much be chosen with care depending on the strain and nature of your data scrutiny/visualization graft. So, following are the ten best laptop for data science 2020.

1. Asus ROG Strix Scar III

Whenever you think about moving from a desktop to a laptop for portability, the first thing that comes to your mind is, “can a laptop replace a desktop?” The answer to that is yes if you’ve chosen to buy the Asus ROG Strix Scar III.

This laptop is primarily a gaming laptop but just about every good gaming laptop can be utiziled as a high-end Data Science notebook as well. It comes with an Intel 9^th Generation powerful processor (core i7) with sixteen GB of RAM. An SSD of 1TB is included as well that increases the speed of the laptop by several fold as compared to a traditional SATA HDD.

The display of 1920×1080 means you can analyze everything well and see things properly. With a battery of just over six hours on average, it makes for a good package. But, the best thing about the laptop is its GPU, which is an Nvidia GTX 2070 8GB, which really kicks the power into every software and makes sure that you love doing your Data Science tasks on your laptop.

Pros:

• RTX 2070
• 9^th Gen i7-9750H
• 16GB RAM
• Great Resolution for Viewing

Cons:

• Battery should be a bit better but isn’t

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2. Razer Blade Pro 17 Gaming Laptop

Interested in getting a look at the best 17 inch laptop 2020 for data science? The Blade Pro gaming beast by Razer 17 is a very good choice in that case. Gaming laptops are always fancied to do high-performance needing tasks, and this laptop isn’t any different.

The Razer Blade has a 9^th-gen core i7 processor and a 16GB RAM. The GTX 2060 6GB really kicks power into the laptop and helps it to crush most heavy tasks with considerable ease. With the great 17.3 inch screen at the helm, the feeling that one gets from after using this laptop is one to savor.

The SSD that emanates with the notebook is a 512GB Solid State Drive. The battery can last for 8 hours, which is a very good battery timing for a laptop at this price. Overall, this laptop is arguably the best 17 inch notebook in 2020 that you can find with the afore-mentioned specifications.

Pros:

• Great Processor
• Storage is easily Upgradable
• Fantastic 1920×1080 17 inch resolution
• Professional Design with a durable construction

Cons:

• A bit heavier than some other laptops in the same category

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3. New Apple MacBook Pro

There are so many data scientists out there that favor to proceed with a MacBook for their daily data analysis tasks than Windows-powered devices. The reason is the convenient data processing in Mac OS X due to it UNIX architecture. This is something that that’s a huge advantage MacBooks have over conventional Windows-powered machines.

The new Apple MacBook Pro 16 comes with a huge 16-inch display and a Core-i7 9^th generation processor. The graphics processing unit in the notebook is the Radeon Pro by AMD (5300M-4GB). With a 3072×1920 retina screen, a 512GB Solid State Drive, and a battery that lasts over 10 hours, the new MacBook Pro 16 is a rugged option for data science passionate people.

Pros:

• Great GPU
• Awesome Battery Life
• Modern Processor
• Apple Retina Display with a High Resolution

Cons:

• 512GB Storage isn’t enough for Professional Data Scientists

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4. Dell XPS 15 7590 Laptop

If you want us to recommend the best laptop for IT professionals, then the Dell XPS 15 7590 would be an extremely worthy selection. With a 9^th-gen Core i7 processor and a juiced up 4GB GTX 1650 to power it all up, the package you’re getting is very enticing without a doubt.

A 16GB RAM, a 256GB SSD, a 4K 3840×2160 fantastic display with a battery that comfortably lasts over 12 hours, there aren’t many laptops that can match the specs that the Dell XPS 15 7590 laptop offers to its consumers.

Pros:

• Great 4K Display
• OLED Screen
• Powerful Battery
• Modern and Strong Processor

Cons:

• Storage Capacity not up to scratch

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5. Asus ZenBook 14 Ultra-Slim Laptop

Even though one might be an expert data science fanatic, he might decide to choose a notebook that not only personifies style but is also the best value for money laptop. In that case, the Asus ZenBook 14 Ulta Slim is a choice not numerous people can disagree with.

This laptop has its own style, swag, and offers way more than just hardcore performance. With the strength of a notebook workstation and the look of a stylistic computer, it is a great choice without a doubt. Nothing gets better than a Core i7 10^th Generation processor, and with a 2GB Nvidia MX250 at the helm alongside a 512GB SSD, it’s a great overall package.

Add to these features the great battery performance that this machine delivers, and the package suddenly becomes complete. The Asus ZenBook 14 Ultra Slim laptop is only for those data scientists that want performance but also beauty.

Pros:

• Great Sleek, Modern Display
• Modern Intel Core i7 Processor
• Long Battery Life

Cons:

• Not Ideal for Neural Network Modeling (Due to a weaker Nvidia Card)
• Storage could be improved (1TB SSD would be ideal)

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6. Lenovo ThinkPad P53s 20N6001UUS

The Lenovo ThinkPad P53s is an influential workstation ideal for heavy-duty tasks that require a significant amount of multi-tasking. It emanates with an 8^th gen Intel core i7 processor and with the added multi-tasking capability of the Nvidia Quadro P520, which is a great heavy-duty tasks performing GPU. Although not ideal for high-end gaming, the card delivers a wonderful performance.

The 16GB RAM and the 1920×1080 15.6 inch LCD that come with the laptop make the overall performance very good. The battery timing, although not the greatest, gives a decent 6 hours per charge on average. This workstation hardware; however, marks this solitary product as the best laptop for data mining.

Pros:

• Solid GPU for Pros
• 1080p Display
• Good Storage Capacity

Cons:

• Design similar to all other ThinkPad laptops
• Battery timing not optimal for Pros

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7. HP Envy 17t Touch Quad Core Laptop

The HP Envy 17t is a solid midrange laptop, which makes it one of the best touch screen laptop for students. It has a 10^th generation core i7 processor, an Nvidia MX250 4GB hardcore, heavy-duty GPU, and 16 gigabytes of RAM.

The display is a huge 17.3 inch IPS 1080 screen, and with a backing of a battery that easily lasts over 8 hours and a 256GB SSD+ 1TB SATA HDD, the overall package is a very good one. Add to it the touch screen features and everything starts looking great. For data science pupils, this might be the ideal laptop.

Pros:

• Perfect for Data Science Pupils
• Affordable (Midrange)
• 16GB RAM
• 1080p IPS LCD
• SSD+HDD
• 10^th generation i7 Processor

Cons:

• Speakers not up to the mark (Unfortunately)

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

The Acer Swift 3 is the least expensive laptop in the list and falls in between the low to midrange category. The specs it offers are very attractive though, as an 8^th gen i7 with an 8GB RAM, an Nvidia MX150 graphics card unit, a great battery, and a solid display brands it as a wonderful selection for most.

The laptop is only recommended for those who are just interested in buying a laptop for occasional data science tasks, like students do. It is inexpensive, affordable, and delivers more than decent performance to be an awesome notebook overall. The laptop is also used for great video editing.

Pros:

• A powerful MX150 2GB
• 256GB SSD
• Over 10 Hours of Battery Life per Charge

Cons:

• Graphics could be a bit better

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9. Lenovo – Yoga 730 2-in-1 15.6″ Touch-Screen Laptop

Are you seeking one of the best 2-in-1 laptops under $1000? The Lenovo Yoga 730 flawlessly fits the bill. With an 8^th gen core i5 processor embedded inside, some might suggest it’s not good enough but trust me, the way the processor handles day to day data science tasks is so good.

The GPU is the Intel HD Graphics 620 that is a solid integrated graphics processing unit. It takes less power than a dedicated laptop and hence gives the battery performance a boost. The lack of dedicated graphics makes things a bit tricky but with a robust 256GB SSD, it somewhat makes up for the lack of greater graphics power.

Pros:

• Stunning Design
• Portable
• Beautiful and Crystal Clear Display

Cons:

• Battery doesn’t perform better even with integrated graphics
• Storage Capacity Not Up to Scratch

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10. New Apple MacBook Pro 13 Laptop

When we talk about a midrange Apple machine, the new Apple MacBook pro 13 is a must-have in the conversation. It boasts an 8^th gen i5 alongside integrated Intel Iris Graphics. The display (2560×1600) is outstanding as you’d expect with Apple laptop displays, and the battery is very decent given it lasts over 7 hours on a regular basis.

The graphics processing is one area where we think the laptop could do better, and the laptop struggles in data visualization processes due to a less-powerful GPU. But, if you’re looking for a midrange laptop and only want a Mac, then the laptop will prove to be a solid choice without a doubt.

Pros:

• Great Apple Display
• Powerful Processor
• Decent Battery Capacity

Cons:

• RAM not worth it for a $1000+ laptop
• GPU not up to the mark by far

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Final Verdict

In the list above, we discussed laptops belonging to some of the biggest names in the IT industry. The best laptop for you; however, depends on your financial power and how much Data Science work you do. If you work 8 hours a day daily on data science tasks, then buying a laptop with a higher performance ceiling would be optimal. For casual data science processes, one could go for a more affordable option.