6 Best Laptops for Data Science Students and Professionals

Are you inquisitive to know what are the best laptops for data scientists and data science students? I know I would be. Because it entails an investment into a laptop where you can enjoy best speed with impeccable performance by processor and stunning visuals to get rid of boredom while analyzing tedious statistical equations and mathematical calculations.

Before unfolding about what are the top best laptops for data science students and professionals, I want to give you a quick-to-understand glimpse of what is data science so that you can understand if this article is useful for you or not.

According to Wikipedia:

“Data Science is an Interdisciplinary field that uses scientific methods, processes, and algorithms to extract knowledge and insights from unstructured and structured data.”

IBM seems more quick, linear and easy-to-grasp when it comes to data science whose definition of this subject goes like:

“Data science combines scientific methods, math and statistics, specialized programming, advanced analytics, Artificial Intelligence, and Storytelling to uncover business ideas and insights hidden in the data.”

On the other hand, Oracle is precise in its definition of data science which seems to be emphasizing on data collection and data analysis, and it is like this:

“Data science is the combination of multiple fields such as statistics, scientific methods and specialized programming to extract value from data.”

If the definitions describe you and your field of study, then read on to uncover what are the best laptops for data science students and professionals.

What are the Best Laptops for Data Science Students and Professionals?

Following are the six effective laptops for data science students and professionals. They are well-designed and contain impressive GPU and CPU to come handy for all people inside the domain of data science:

  1. TensorBook
  2. Microsoft Surface Pro 7
  3. Apple MacBook Pro 16″
  4. Lenovo C930
  5. Acer Predator Helios 300
  6. MSI GL62M

Let’s start with the first one and the rest will follow.

1. TensorBook

Features

TensorBook is purely a deep learning laptop with a deep-rooted focus on data science and machine learning. Therefore, it tops my list for the best laptops for data science students and professionals.

TensorBook by Lambda is a reliable laptop computer for data science students and aspiring data scientists. It is packed with tech specs to help you develop algorithms for quick and detailed analysis of data, code in R/Python, or develop models for machine learning.

It comes with Lambda stack: a software tool, to manage installations of TensorFlow (A Free and open -source software Library for machine learning), Keras (The Python deep learning API), PyTorch (An open-source machine learning framework), Caffe and Caffe 2 (Deep learning frameworks), Theno (A Python Library), CUDA (A parallel computing platform and programming model), and cuDNN (CUDA Deep Neural Network library). An advantage of using this laptop is that when a new version of any framework is released by the authors, Lambda Stack is capable of managing the upgrading dependencies i.e., cuDNN, etc.

A list of more impressive features include:

  • Processor: This laptop comes with Intel Core i7-10875 with 8 Cores, 16 threads, and 16 MB Cache.
  • Video Card: It is equipped with GPU powered by NVIDIA RTX 2080 Super Max-Q along with 8 GB GDDR6 and 3072 CUDA cores, plus, 1080 MHz base clock.
  • Memory: TensorBook comes with 64 GB of DDR4 SO-DIMM. This memory is more than enough to help you in completion of detail-oriented data science projects for your clients timely.
  • Storage: TensorBook is not just a laptop but also a data science lab because it contains 2 TB of storage for its users.

Although TensorBook is expensive ($3,000+), this price is nothing against the performance you will enjoy on this GPU laptop built for data science and deep learning.

CPU Benchmark

GPU Benchmark

Specification

Standing screen display size 15.6 Inches
Screen Resolution 1920×1080
Max Screen Resolution 1920 x 1080 Pixels
Graphics Coprocessor NVIDIA RTX 2080 Super Max-Q
Chipset Brand NVIDIA
Card Description Dedicated
Graphics Card Ram Size 8.00

Pros

  • GPU Laptop
  • Impressive video graphics card
  • High performance processor
  • Big storage capacity (2TB)

Cons

  • Very expensive
  • Portability issues
  • Only for tech geeks and IT experts

2. Microsoft Surface Pro 7

Features

Data Science is all about transforming structured and unstructured data into insights to help organizations optimize their efficiency, productivity and business goals. And, this is definitely an attainable achievement if you’ll embark on your journey with Microsoft Surface Pro 7.

Microsoft Surface Pro 7 is a portable, easy-to-use and pocket-friendly laptop capable of accommodating into your data science ecosystem. This is one of the most sought after laptops in the communities of data scientists and students pursuing their careers in the field that is on the verge of disrupting all other industries. Let’s look at its specs more closely to understand this:

  • Equipped with Intel Iris Plus, this laptop is supremely suited to fulfil your data virtualization needs (in particular, when you’re using specialist software such as Tableau, etc.) because it has no overheating issue when you have to deal with graphically-challenging tasks.
  • As it is packed with Intel Core i7-1065G7 10th Gen, this laptop has noticeable technological advancements that are hard to witness in the previous processors of Intel. This processor consists of advanced technologies such as Intel Deep Learning Boost, Virtualization, and Intel TurboBoost to generate top-notch performance for professional data scientists and data science students and academicians.
  • Analyzing numerous data is excruciating activity mentally and physically. To mitigate boredom and uplift your mood, Microsoft Surface Pro not only can be used as a laptop, but you can also transform it into a tablet to give you ease of use in a way you want. Especially if you’re doing a task which consumes energy overwhelmingly such as coding in Python for a data science project, etc. This customized workstyle with this laptop will elevate your efficiency with zero boredom.
  • It is a 2-in-1 laptop made perfectly with data scientists and data analysts in mind. Therefore, It is the absolutely best combination of aesthetics and logic.

That’s why Microsoft Surface Pro 7 is one of the best laptops for Data Science students and professionals in 2021 that is worth your investment.

CPU Benchmark

GPU Benchmark

Specification

Standing screen display size 12.3 Inches
Screen Resolution 2736 x 1824
Max Screen Resolution 12.3 Pixels
Graphics Coprocessor Mac
Chipset Brand Intel
Card Description Integrated
Graphics Card Ram Size 0.01 GB
Wireless Type Bluetooth
Number of USB 3.0 Ports 2

Pros

  • Convertible Laptop (2-in-1)
  • Zero overheating issue
  • Reliable video graphics card and process

Cons

  • I don’t see any cons in this laptop for data science students and professionals

3. Apple MacBook Pro 16”

Features

Apple MacBook Pro 16’’ is the game changer and top-notch notebook designed for big data analytics, data science, and data virtualization to make it easy for data scientists, students and businesses to understand cumbersome and large amounts of data easily.

You’re going to find the best tech specs in this world-class laptop when you talk about performance and video graphics making it the most appropriate laptop in 2021 for data science students and professionals.

Its features include:

  • You will get an Intel Core i9 processor comprising 8 cores and 16 threats to deliver the best performance. This processor generates a processing power capable of handling system-heavy tasks i.e., compiling lots of data from various sources, testing python code and working on machine learning projects without wasting much time. Wolfram Mathematica – the most innovative and modern technical computing system – runs like a flashlight in Apple MacBook Pro 16’’. With 85% faster CPU benchmark performance this system is the most sought after in the communities of data scientists, students and machine learning experts, etc.
  • Packed with AMD Radeon Pro 5000M series, your laptop turns into a design studio( if you’re a creative AutoCad specialist ), into a data lab ( if you’re an expert data scientist). Plus, You will be surprised to know that Apple MacBook Pro 16’’ has a GPU that’s twice as good and faster than last generation base models. Also, you can upgrade this MacBook Pro with Radeon Pro 5600M to enjoy desktop-like graphical performance on your MacBook Pro.
  • If you’re concerned about battery life, this MacBook Pro is equipped with the highest-capacity battery to provide you 11 hours of non-stop power with zero glitches. And, what else can you expect when you have a 100-Wh Lithium-polymer battery in a laptop.

CPU Benchmark

GPU Benchmark

Specification

Display 16.0-inch (diagonal) LED-backlit display with IPS technology; 3072×1920 native resolution at 226 pixels per inch with support for millions of colors
Processor 2.6GHz 6-core Intel Core i7, Turbo Boost up to 4.5GHz, with 12MB shared L3 cache
Graphics and Video Support AMD Radeon Pro 5300M with 4GB of GDDR6 memory and automatic graphics switching, Intel UHD Graphics 630
Charging and Expansion Four Thunderbolt 3 (USB-C) ports with support for: Charging, DisplayPort, Thunderbolt (up to 40 Gbps), USB 3.1 Gen 2 (up to 10 Gbps)
Wireless Wi-Fi, 802.11ac Wi-Fi wireless networking; IEEE 802.11a/b/g/n compatible, Bluetooth 5.0 wireless technology
In the Box 16-inch MacBook Pro, 96W USB-C Power Adapter, USB-C Charge Cable (2 m)

Pros

  • Eye-Catching 16-Inch Retina display
  • Matchless graphics capability
  • Magic Keyboard where keys are at a distance of 1 mm for comfortable typing
  • Praiseworthy battery life and so much more

Cons

  • Only con I find in this laptop is that it is very expensive.

4. Lenovo Yoga C930

Features

Lenovo Yoga C930 is a versatile and a handy 2-in-1 laptop made with impressive design and tech specs for incredible performance for data miners, machine learning engineers, and data scientists, etc.

Like Microsoft Surface Pro 7, Lenovo Yoga C930 can be converted into a tablet to adjust into your surroundings, if you’re bored of working while sitting, etc. What I like in this convertible laptop is 4K clarity and ultra vivid imagining. Designed to be aesthetically-alluring and easily portable, this laptop has everything for data science students and professionals for maximized productivity and enhanced results.

It is built with Intel Core i7- 8550U 8th Gen processor with a base frequency of 1.8GHz to 4.0 GH along with Turbo Boost, 4 Cores, and 8 Threads to speed up processing while you’re working on big data. This laptop is supremely useful if you’re prone to multi-tasking, for example, if you’ve to ponder over large data along with coding an algorithm, this machine has got you covered.

Lenovo Yoga C930 comes with Intel UHD graphics 620 which is more than enough to handle programming, models training or pulling, merging and analyzing data; you’re not going to encounter any difficulty at all in your daily work.

You will love to use 1TB PCIe SSD, 12 hours of battery life and 16 GB DDR4 RAM, and that too at a reasonable price.

CPU Benchmark

GPU Benchmark

Specification

Standing screen display size 13.9 Inches
Max Screen Resolution 3840 x 2160
Graphics Coprocessor Intel
Chipset Brand Intel
Card Description Integrated
Wireless Type Bluetooth

Pros

  • Convertible Laptop (2-in-1) to accommodate into your workstyle
  • Good in visual capability
  • Battery life of over 14 hours (This is worth-noting)

Cons

  • Using this laptop gets irksome due to overheating
  • Expensive laptop with old-styled body

5. Acer Predator Helios 300

Features

If you want a laptop that could be your digital companion, then I would recommend you to pick Acer Predator Helios 300. It is a laptop to ease up datasets analysis and finding patterns and changes through algorithms and tools.

Acer Predator Helios 300 comes with Nvidia GeForce GTX 1060 along with 6 GB RAM to be able to run system-heavy software for big data such as Tableau, coding in R or Python, or while you’re using Apache Spark: an analytics engine for big data processing, etc without any lagging issue.

It has Intel Core i7 – 9750H as a processor for speedy and impressive processing power.

This best laptop for data analysis has a backlit, RGB-customized keyboard with 4th GEN Aeroblade 3D technology and Predator Cool Boost to mitigate noise and reduce heat when you’re working unstoppably.

Though, Predator Helios 300 is widely known as a ‘gaming giant’ but tech specs of this laptop make it highly favorable for data science projects and assignments. In the end, this machine will take your productivity as a professional data scientist and student to the next-level.

CPU Benchmark

GPU Benchmark

Specification

Standing screen display size 15.6 Inches
Max Screen Resolution 1920 x 1080 Pixels
Memory Speed 3.8
Graphics Coprocessor NVIDIA GeForce
Chipset Brand NVIDIA
Card Description Dedicated
Graphics Card Ram Size 6 GB
Wireless Type 802.11ac
Number of USB 2.0 Ports 2
Number of USB 3.0 Ports 2
Average Battery Life (in hours) 7 Hours

Pros

  • Red backlit Keyboard
  • Nvidia GeForce GTX 1060: A graphic card powered by NVIDIA Pascal for top-notch performance
  • Predator Cool Boost technology to avoid overheating

Cons

  • Poor battery life of 7 hours (Worst thing for a laptop that is worth over $1000)
  • Bulky

6. MSI GL62M

Features

MSI GL62M contains all best features and functions to help you work on your data science projects with zero difficulty. Some of its best features are:

  • In processor, it comes with a unique Intel i7-7700 with optimizable base frequency of 2.8 GHz to 3.9 GHz.
  • Commercially, it is popular as ‘the best laptop for video games i.e. Overwatch’ because of reduced lagging issues as it contains a dedicated GeForce GTX 1050 Ti (graphics processor). Likewise, it can be of significant help for data science students and professionals in completing their college and university assignments and freelance projects for their clients.
  • Undoubtedly, a storage capacity matters most in laptops for students and professionals in the field of artificial intelligence, machine learning and data science because they have to work on bulk data. It is the reason that MSI is on my list of the best laptops for data science students and experts in 2021 because it has 1TB of hard drive and 128GB M.2 SATA to assist you at each step of your academic and professional life.
  • You will get 8GB RAM with Intel i7-7700 making it one of the ‘speedy’ laptops and you are free to multitask while studying or working on your important projects.
  • Rest assured — you will not have to complain about the ‘overheating’ issue as it has eight heat pipes to keep your laptop cooled down.

CPU Benchmark

GPU Benchmark

Specification

Standing screen display size 15.6 Inches
Max Screen Resolution 1920×1080 Pixels
Memory Speed 2400 MHz
Graphics Coprocessor NVIDIA GeForce GTX 1050
Chipset Brand NVIDIA
Card Description Dedicated
Graphics Card Ram Size 2 GB
Wireless Type 802.11ac
Number of USB 2.0 Ports 1
Number of USB 3.0 Ports 3

Pros

  • Impressive graphics capability with GeForce GTX 1050 Ti
  • Extended storage capacity
  • No ‘overheating’ due to Cool Boost 4 Technology

Cons

  • Terrible speaker quality
  • Unsatisfactory battery life

Final Words - What are the Six Best Laptops for Data Scientists and Students?

In this blog of laptopify.net, we dealt with the six best laptops for data scientists and students in which I talked about the most effective and high-end laptops, such as:

  • TensorBook
  • Microsoft Surface Pro 7
  • Apple MacBook Pro 16’
  • Lenovo C930
  • Acer Predator Helios 300
  • MSI GL62M

All of these laptops are likely to meet your needs of good video card performance and impeccable processing power. Plus, they will help you get the knack of complexities of data science and machine learning by understanding key insights to create future possibilities for companies and businesses.

In the end, on this list of six best laptops for data science students and professionals, my favorite one is TensorBook by Lambda.

Which one is your favorite laptop for data science projects? Don’t forget to tell me; until then

—- Keep analyzing. AND. Keep laptopifying—-

Jimmy Cohen
[email protected]

Jimmy Cohen is a laptop enthusiast with a passion for tech. Among his hobbies are exploring and writing on niches related to tech such as mobile apps and laptops. He can be reached on the following email address.