Top 6 Best Laptops for Data Science – 2022

Data science is a field where you have to face a lot of data, like collecting data, filtering, and interpreting data. If you are a data scientist you must know how much data can data scientist handled on daily basis. To handle such a large amount of data you need powerful laptops for it. In This Article, we will the share  Required Configuration for data analysis Laptops and the Top 6 Best laptops for data science.

At a Glance:

Laptop Requirement for Data Science

RAM: RAM is the Essential part of every Laptop. The question is how much RAM is suitable for a Data Analysis laptop. Try to get a computer having at least 8GB Minimum RAM. It will be greater if you go for a 16GB Laptop as sometimes working on a cloud-based system need a more efficient laptop.            

Processor: The processor is the most crucial part, especially when dealing with many data. In Data Science, we have to face a large number of data and perform some heavy tasks sometimes, which need a powerful Processor to Increase Performance. We would strongly recommend you to go with Latest Generation Processor. Our Recommendation is Intel core i7 of the 7th Generation. You can buy i5 of 7th Gen if you have a low budget but not below this.

SSD Storage: You Need a storage disk to store data. We Strongly recommend you to have an SSD on a Laptop of at least 256GB. You can get high if you need more Storage in the computer for your data. SSD helps you fast your Laptop and give extra speed to your data. Don’t go for HDD.

Graphics Card: Somehow data scientists need to work with machine learning and deep learning, which require an advanced and latest graphics card to perform your task smoothly. It is essential to choose a laptop that supports the latest Graphics. Our Recommendation is an Nvidia GTX series GPU of at least 2GB. Suppose you have a gaming laptop or wish to buy then gaming is working fine for data science. The Internal Laptop GPU is Also working fine for data scientists. If you have a low budget and can’t afford the GPU Laptop, go for any latest Processor.

Display: Data scientists deal with different data types and use additional data science software. You need a Good Display size while working on this software to analyze and see your data. Display size matters a lot when working on gigantic data, Table data, or data charts to see it clear and Perform the action.Our Recommend Display size is a 15.6 Inch FHD Display. Pick up at least a 13.3-inch FHD display laptop.

Battery: The battery is also essential for a laptop—most laptops consume more power on a high workload. It would be best if a computer had a battery life of at least 6 hours.

Our Recommendation Laptop for data science

AwardDesignLaptopsRetailer
Best Laptop for Data Analysis
Best PickASUS ZenBook 15 Ultra-Slim
Check Price
Best Business Laptop
Staff PickASUS ROG Strix G15
Check Price
Best Cheap Laptop for data science
Budget PickLenovo Ideapad L340 Laptop
Check Price
Best with 17-inch Display Laptop
Newest HP Envy 17t
Check Price
Best MacBook Laptop for Data science
Apple MacBook Pro with Apple M1 Chip
Check Price
Best Laptop Under 800
Acer Swift 3 Thin & Light Laptop
Check Price

ASUS ZenBook 15 Ultra-Slim

Best Pick
Asus zen 15 ss

Our First and Best Laptop for data science and Machine Learning is Asus Zenbook 15 Ultra-slim laptop. This Laptop has a unique style of creativity with Great Processing power.

It comes with a 15-inch display which helps the user see extensive data. The Intel comet Lake processor keeps the Laptop fast while doing heavy tasks like Machine Learning, data visualization, and databases. The processor Intel core i7-10510U helps the data scientist finish any job efficiently without any workload on Laptop. You will not face any delay hanging issues while performing high-level work. The NVIDIA GeForce GTX 1650 Max-Q GPU helps in data visualization and Graphic processing.

It has Memory which is required for a data science laptop. The 16GB RAM increases the Laptop speed and has 512GB SSD storage for data storing. Asus Zenbook 15 has 4k Ultra HD panels that can boast 178 degrees.

Nano edge display technology is used. The size of the screen is 15.6 Inches resolution 1920 x 1080 pixels. The touchpad of the Asus Zenbook features screenplay 2.0 technology. This screen app provides an app switching feature that quickly helps the data scientist access all the tabs.

Features

  • CPU: 1.8GHz Intel Core i7-10510U
  • RAM: 16GB
  • Storage: 512GB SSD
  • Display: 15.6-inch 4K UHD (1920 x 1080)
  • GPU: 4GB NVIDIA GeForce GTX 1650 Max-Q
  • Battery: Up to 10 hours

Pros

  • 10th gen processor
  • Brilliant 4K display on a budget
  • Innovative Screenpad 2.0
  • Long battery life

Cons

  • High Price
Staff Pick

ASUS ROG Strix G15

Asus Rog strix G15 2.jpg

The Asus ROG Strix G15 combines Nvidia Geforce RTX 3070 GPU with a top-notch AMD Ryzen Processor. AMD Ryzen R9-5900HX chipset with clocking speed up to 4.6Ghz. The powerful CPU and GPU combination make it as strong as gamers also use it. The Strix G15’s have AMD Ryzen 7 5800H, which consists of 8 cores with a speed of 4.4GHz. Asus Rog Strix G15 has 16GB of Memory RAM and up to 1TB SSD ROM which helps data scientists store large numbers of data. The Peak Power has 130W; it has dual-band wifi 6 and Gigabit Ethernet.

The Rog Strix G15 is our staff pick Recommended Laptop for data analysis. All from AMD Ryzen 7 processor to RTX 3070 GPU is Great for data scientist students. You can go for it if you have a healthy Budget. Besides data science, if you are a Pc gamer lover, it will Intertain you. 

All the best components are there, which we discuss above the average Computer Requirement for data science. 

Features

  • CPU: 3.3GHz AMD Ryzen R9-5900HX
  • RAM: 32GB
  • GPU: 8GB NVIDIA GeForce RTX 3070
  • Storage: 1TB SSD
  • Display: 15.6-inch FHD Touch (1920 x 1080)
  • Battery: Up to 6 hours

Pros

  • 15.6-inch screen Display
  • AMD Ryzen R9-5900HX chipset
  • turbo clocking speed of up to 4.6GHz

Cons

  • GPU could be better

Lenovo Ideapad L340 Laptop

Budget Pick
Lenovo IdeaPad

Are you looking for the best cheap Laptop for data science with excellent Performance? You read cheap is not mean low quality or low Processor. Lenovo Ideapad L340 offers the best laptops in the market at a considerable price. The Lenovo Ideapad L340 offers a powerful processor with a clock speed up to 4.5 GHz. The Laptop comes with a 9th Gen intel core i7 -9750H Processor and a 12MB cache for fast processing, which help the data scientist to finish any task on time. The Lenovo IdeaPad L340 has 15.6 Inch screen size that delivers a stunning full HD IPS display with a resolution of 1920 x 1080.

The Lenovo Ideapad L340 is not lacking from RAM. It comes with a capacity of 16 GB RAM. The Laptop that I am reviewing has 8GB RAM with 2 slots. You can add another 8GB RAM if you need it. 8GB RAM is enough for data science students to work. Storage capacity in the Laptop has 512 GB Nvme SSD that gives extra fast speeding to your Laptop rendering the data. 

Lenovo Ideapad L340 comes with a build-in GPU  NVIDIA GeForce GTX 1650. This laptop help gamer as well to play HD games. NVIDIA GeForce GTX 1650 – GDDR4 offers a base frequency of 1485MHz and a 1665MHz boost frequency.

Features

  • CPU: 2.4GHz Intel Core i5-9300H
  • RAM: 8GB
  • GPU: 4GB NVidia GeForce GTX 1650
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD IPS (1920 x 1080)
  • Battery: Up to 9 hours

Pros

  • intel core i7 -9th Processor
  • NVIDIA GeForce GTX 1650
  • 8GB RAM with 2 slots

Cons

  • Underwhelming RAM support
  • Simple Design

Newest HP Envy 17t

Best with 17-inch Display Laptop

Envy

HP Envy 17T is a touchscreen laptop with excellent performance with an Intel Core i7 10th Gen Processor. HP Envy 17T has a 17.3 Inch display with 4k Resolution. The Nvidia Geforce MX250 GPU makes it more powerful, making it possible for a data scientist to do neural networking and other learning activities a student needs. It has 4 gigs of VRAM, which further boosts Graphics Performance.

HP Envy 17T has come with 16GB RAM, which helps handle big data operation easily. The Laptop has a dual-storage facility with 256GB SSD fast Memory and a 1TB storage HDD for extensive data storage. SSD of the Laptop helps boost up the data Rendering the system.

When it comes to battery life, the 4k laptops previously had low time, but things now improved. The battery life is typical for this kind of Laptop. I have a UHD display that lasts for 6 hours, suitable for any data science task. Although it did not come in the 10 hours category, 6 hours is enough for average users.

Features

  • CPU: 1.3GHz Intel Core i7-1065G7
  • RAM: 16GB
  • Display: 17.3-inch FHD IPS Touch (1920 x 1080)
  • GPU: 4GB NVIDIA GeForce MX250
  • Storage: 256GB SSD + 1TB HDD
  • Battery: Up to 10 hours

Pros

  • NVIDIA GeForce MX330 graphics processor
  • Intel iCore 7 1065G7 processor
  • 16GB DDR4 dedicated RAM

Cons

  • The latest version of Windows 10 OS is not compatible with the older versions.

Apple MacBook Pro with Apple M1 Chip

Best MacBook Laptop for Data science

Macbook pro

Apple Company stands out among the brand. We listed Apple MacBook for data scientists who are brand loyal. Most data science applications and visualization applications are designed to run the best on macOS. Apple Macbook Pro with Apple M1 chip is our Apple brand choice for you. 

Apple-designed M1 chip for a giant leap in CPU, GPU, and machine learning performance. The Apple Processor has 8 core units with a Great Performance and a clocking speed of 3.2 GHz. As the Data science work Requires multiple Cores, This MacBook pro has 8 cores that help boost the overall Processing of the Laptop. 

Apple Integrate 8GB Ram, which lend decent support to the chipset. There is 256 GB SSD which helps improve more speed and keep things going for data scientists. Apple Macbook Pro comes with a 13-inch display featuring 2560x 1600 Pixels. The screen is featured with advanced Retina technology liquid crystal enhancement. The MacBook Pro battery life lasts for 20 hours, which is beyond the limit for data science tasks. 

Features

  • CPU: Apple M1 8-Core
  • RAM: 8GB
  • Storage: 512GB SSD
  • Display: 13.3-inch FHD Retina (2560 x 1600)
  • GPU: Integrated 8-Core
  • Battery: Up to 17 hours

Pros

  • M1 Chip
  • 3.5x graphics Radeon performance.
  • 394 GB/S memory bandwidth space.
  • smart Touch Bar and ID

Cons

  • Only the newer version comes with a Touch Bar and ID.

Acer Swift 3 Thin & Light Laptop

Best Laptop Under 800

acer swift 3

The Acer Swift 3 is a slim Laptop with Great components at a Responsible price. We select this for those looking for a low budget with a decent performance laptop. It has come with Intel Core i7 with 11th Gen, is really gonna help you finish any task related to data science. It has 16 GB RAM and 512GB SSD storage space. The ultra-thin design and 14-Inch IPS FHD display make it attractive to its user. 

The Acer Swift 3 has good sound quality. The audio is clear and offers lower audio ranges. You will get a backlit keyboard with a fantastic touchpad—Excellent connectivity of wifi and Bluetooth. Fingerprint scanners give security to your personal Laptop. The Acer’s swift battery life is lasting for 14 hours which is enough for any data science student who works up to 14 hours non-stoppable. The overall Performance and components show that it is good for data scientists looking for a laptop with a friendly budget.

Features

  • CPU: 2GHz AMD Ryzen 7 4700U
  • RAM: 8GB
  • Display: 14-inch FHD IPS (1920 x 1080)
  • GPU: Integrated AMD Radeon
  • Storage: 512GB SSD
  • Battery: Up to 5 hours

Pros

  • 14-inch Full HD screen
  • 512GB SSD storage unit
  • dual-channel RAM support of 8GB
  • turbo clocking speed 4.1GHz

Cons

  • Average Battery Life
  • Low Graphics Support

Summary

AwardDesignLaptopsRetailer
Best Laptop for Data Analysis
Best PickASUS ZenBook 15 Ultra-Slim
Check Price
Best Business Laptop
Staff PickASUS ROG Strix G15
Check Price
Best Cheap Laptop for data science
Budget PickLenovo Ideapad L340 Laptop
Check Price
Best with 17-inch Display Laptop
Newest HP Envy 17t
Check Price
Best MacBook Laptop for Data science
Apple MacBook Pro with Apple M1 Chip
Check Price
Best Laptop Under 800
Acer Swift 3 Thin & Light Laptop
Check Price

Conclusion

Data scientists are highly innovative professionals with high-end data processing requirements. Unless the data scientist always uses a remote server to get the job done, a powerful laptop will continue to be required.

Data scientists mostly use Remote servers to finish the job, but a Powerful laptop continues to be a Requirement of every data science student. If you have a reasonable budget in hand and looking for high-speed processing, RAM, and Storage, then our high Recommended ASUS ZenBook 15 ultra-slim laptop. If you are looking for MacBook, nothing beats the Performance of the Apple Macbook Pro M1. However, if you are looking for Good Laptop with a friendly budget, go for the Lenovo Ideapad L340 that has a low price with Good Requirements.  

Frequently Asked Questions

How Much RAM do I need for data science?

At least 8 to 16 GB RAM is Recommended for data science on Laptop. Data science needs a more powerful Laptop for heavy software. Minimum 8 GB RAM, but 16 GB is sufficient for heavy use of machine learning

Is MacBook Good for data science?

The Macbook is a good Laptop for data science and machine learning application. It consists of a powerful M1 chip for excellent Processing. Apple Macbook Pro with M1 chip is a suitable choice for Data science tasks.

Can I Gaming laptop used for data science?

As gaming laptop is more powerful Laptop from average Laptop, we use. Gaming laptops have all the powerful components that data science laptops need

Is Laptop Necessary for data science?

If you are learning data science and machine learning, you need a laptop because you need to write and run code to get practice. The laptop is portable instead of a desktop.


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