Which is the Best Laptop For Data Science in 2025? Top 15 Options
By Rohit Sharma
Updated on May 19, 2025 | 19 min read | 24.82K+ views
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By Rohit Sharma
Updated on May 19, 2025 | 19 min read | 24.82K+ views
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Choosing the best laptop for data science hinges on several critical hardware factors. Ideally, you should pick a laptop with at least 16–32 GB RAM, a 6-core CPU, dedicated GPU, fast 1 TB NVMe SSD, and a 1080p+ 14-15" display. Prioritize 8+ hours battery life and under 4 lbs weight for portability. These specifications boost performance, multitasking, and mobility.
Did you know? According to the BLS, employment of data scientists is projected to grow 36% between 2023 and 2033, resulting in approximately 20,800 openings annually through the decade. Naturally, since the duties demand you to handle complex and demanding data analysis, machine learning, and statistical modeling tasks, your laptop needs to live up to the standards too! |
While choosing the best laptops for data science is critical, so is choosing the right data science courses. In order to make the most of the opportunities that exist for skilled professionals, you must pick the right programs with GenAI integrated curriculum and modules or specializations diving deep into Python, Machine Learning, Tableau, and SQL so what you learn today remains relevant in your job.
And this blog will offer you the details on both the fronts: 15 best laptops for data science students and professionals and the best data science courses you can count on to future-proof your career.
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Here’s a carefully chosen tabulated list of 15 best laptops for data science students and professionals. It includes both budgeted and high-end options:
Best Laptop for Data Science Students and Professionals | For Students or Professionals? |
ASUS ROG Strix G17 (Latest 2023 Model) | High-end: For Professionals |
Apple MacBook Air (M2) | Budgeted: For Students and Pros, both |
Apple MacBook Pro With M4 Chip | High-end: For Professionals |
2023 Lenovo ThinkPad T490 | Medium-budget: For Students and Pros, both |
Acer Nitro 5 | Budgeted: For Students |
Razer Blade Pro 17 | High-end: For Professionals |
Lenovo Legion 5 Gen 6 (17″ AMD) Gaming Laptop | Budgeted: For Students |
Dell Alienware M15 R6 | High-end: For Professionals |
MSI GS65 | High-end: For Professionals |
Acer Swift 3 | Budgeted: For Students |
HP ZBook 15 G5 | High-end: For Professionals |
HP Pavilion 15 (AMD Ryzen Model) | Budgeted: For Students |
Lenovo ThinkPad X1 Carbon | High-end: For Professionals |
Lenovo LOQ 15IAX9 | Budgeted: For Students |
Acer Aspire 5 A515-57 | Budgeted: For Students |
Before we walk you through the features that earned these laptops a spot in our list of 15 best laptops for data science students and professionals, let’s walk you through the factors you need to consider when purchasing a laptop for data science.
Choosing the best laptop for data science requires careful consideration of numerous significant factors. Here are some of the most significant considerations when choosing a laptop for data science:
A powerful processor ensures fast and smooth performance, essential for handling complex data analysis and modeling tasks. Upgrading to newer processors can significantly enhance power efficiency, processing power, hardware compatibility, and thermal management.
These are the two best options you can consider:
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Working with large datasets requires ample memory to prevent lagging and ensure seamless multitasking. The best laptop for data analysts and data science students should have at least 16GB of RAM, with 32GB being preferable for advanced applications like deep learning.
Consider a laptop with a Solid State Drive (SSD), which provides faster data access and retrieval than a traditional Hard Disk Drive (HDD). Upgrading to an SSD (Solid State Drive) can significantly reduce boot-up and program launch times.
For deep learning and AI applications, a dedicated graphics card is necessary. The best laptop for data science and AI should include an NVIDIA GPU (such as GTX 1650 or higher) to accelerate machine learning computations and support high-performance modeling.
A high-resolution display is important for data visualization and analysis. Go for a 15-inch or larger laptop with a high resolution, such as 1920×1080 or greater.
Data science involves long work hours, and a laptop with good battery life can ensure uninterrupted productivity. Ensure to go for a laptop with a battery life exceeding 8 hours.
Now that you know the features, let’s explore the ins and outs of the 15 best laptops for data science professionals and students. Dive in!
Did you know? According to CFA UK's guide From Zero to Hero – A Data Scientist's Guide to Hardware, discrete GPUs are essential for deep learning tasks due to their parallel processing capabilities. It also warns that not all GPUs are equally useful for data science, emphasizing the importance of selecting compatible and performant hardware to avoid bottlenecks that reduce productivity. |
Listed below are the top 15 laptops for data science.
The ASUS ROG Strix G17 laptop is one of the best laptops for data science for your data analysis task.
Initially designed for gaming, this laptop can deliver a punch thanks to its processing strength. Due to this, it is preferable to perform comprehensive data analysis for your data science initiatives.
As a data scientist searching for a laptop for data science work, it’s important to look for a device with ample processing power.
Pricing: INR 1,74,990 (the prices vary based on the vendor since official ASUS website does not offer direct selling option in India).
Features | Specifications |
Operating System | Windows 11 pro |
Processor | AMD Ryzen™ 9 7945 HX 16-Core |
Storage | Up to 2TB PCIe® 4.0 NVMe™ M.2 SSD |
RAM | 16GB or 32GB of DDR5-4800MHz |
Battery Capacity | 90 WHR |
The Apple MacBook Air with M2 chip is one of the best laptops for data science students, particularly those who prioritize portability, battery life, and a macOS environment.
The M2 chip offers enhanced CPU and GPU performance over its predecessor, the M1. It's well-suited for tasks like data wrangling, statistical analysis, and running machine learning models using libraries such as pandas, NumPy, and scikit-learn.
Pricing: INR 85,900 for 13.6-inch display
Features | Specifications |
Operating System | macOS Monterey (upgradable to latest versions) |
Processor | 8-core CPU:
8-core GPU and 16-core Neural Engine |
Storage | 256GB SSD (configurable up to 2TB) |
RAM | 8GB unified memory (configurable up to 24GB) |
Battery Life | Up to 18 hours |
If you’re a data analyst, you should focus on CPUs with several cores, and the new MacBook Pro has 10. The 512 GB SSD on this MacBook Pro is overly quick and offers data scientists and analysts more than enough storage space.
Price: INR 1,69,900 for 14-inch display
Features | Specifications |
Operating System | macOS Sequoia |
Processor | Apple M4 chip with 10-core CPU (4 performance cores and 6 efficiency cores) |
Storage | 512 GB SSD (configurable up to 2TB) |
RAM | 16GB unified memory (configurable up to 32GB) |
Battery Life | Up to 14 hours of wireless web usage |
This laptop has all the powerful specs needed to run huge data sets and the ability to support a Unix-like environment smoothly. This is the best option to install Linux Distros on a Windows laptop.
You can customize this laptop’s RAM (8–40GB) and processor to meet your demands. However, those who want to work on parallel computing for deep learning, machine learning, or neural networks should not use this laptop because a dedicated GPU is missing from ThinkPads.
Pricing: INR 1,21,401
Features | Specifications |
Operating System | Windows 10 Professional |
Processor | Intel Core i5-8265U up to 3.9 GHz |
Storage | 256GB-2TB SSD (different for different devices) |
RAM | 16GB DDR4 RAM |
Battery Life | 16 hours approximately |
This isn’t just the best laptop for data science students, it’s also very cost-effective.
The design is simple, with a complete keyboard that is backlit and an HD display that refreshes at a rate of 144Hz.
You can also choose from:
Pricing: INR 64,000
Features | Specifications |
Operating System | Windows 10 |
Processor | Intel i5 11300H |
Storage | 512 GB |
RAM | 8 GB |
Battery Life | 8 hours approximately |
The chipset in this Razer Blade Pro 17 is the top-tier Intel Core i7-9750H. This laptop’s 6 gigabytes of usable VRAM and NVidia GeForce RTX 2060 GPU make it the best laptop for data analytics.
In addition, there is a quick 12 GB SSD storage device with dual-channel upgradeability. This laptop’s 17.3-inch display is a useful addition for data analysts. Most people use an additional screen to work, but this laptop boasts a 17.3-inch 1080p panel, rendering it the finest substitute.
Pricing: INR 3,20,000
Features | Specifications |
Operating System | Windows 10 |
Processor | 2.6GHz Intel Core i7-9750H |
Storage | 1TB |
RAM | 512 GB SSD |
Battery Life | 6 hours approximately |
Lenovo’s new Gen 6 series, which includes the AMD Ryzen™ 5 5600H Processor (upgradable to the 5800H version), guarantees extraordinary processing power.
It wouldn’t be an exaggeration to say that this is the best laptop for data science when it comes to storing massive datasets due to its substantial SSD storage capacity.
Pricing: INR 79,990
Features | Specifications |
Operating System | Windows 10 Home or Windows 11 Home |
Processor | AMD Ryzen™ 5 5600H Processor |
Storage | 512 GB SSD |
RAM | 8GB DDR4-3200 (expandable up to 32GB) |
Battery Life | 8 hours approximately |
Another excellent laptop at a fair price is the Alienware M15 R6, renowned for its command center technology, which gives users more control over the hardware.
This is the only laptop that can match the HD picture quality for streaming or gaming, thanks to the 360 Hz refresh rate.
This is considered amongst the best laptops for data science professionals as it has 8 cores with 16 threads, base clock of 2.3 GHz, and up to 4.6 GHz with Turbo Boost.
Pricing: INR 1,59,990
Features | Specifications |
Operating System | Windows 10 Home or Pro, with upgrade options to Windows 11 |
Processor | Intel i7-11800H |
Storage | 1TB |
RAM | Configurations range from 8 GB to 64 GB DDR4 at 3200 MHz or 3466 MHz |
Battery Life | 4 hours approximately |
The MSI GS65 is the ideal laptop for data analysis as its features make it stand out. The Cooler Boost Trinity on this laptop helps increase airflow and pressure for better cooling performance.
The glass touchpad in this laptop offers an enormous surface area and looks fantastic. The RTX 2070 and GTX 1070 are the two GPU options that are currently available.
Pricing: INR 2,49,390
Features | Specifications |
Operating System | Windows 11 |
Processor | Intel i7-11800H |
Storage | 1TB |
RAM | 32 GB |
Battery Life | 4 hours approximately |
This Acer Swift 3 laptop is ideal if you’re new to data analysis and want to learn more about data mining, visualization, and prototyping limitations. This laptop offers an NVIDIA GeForce MX 150 graphics card with a maximum VRAM capacity of 2 gigabytes.
Pricing: INR 59,999
Features | Specifications |
Operating System | Windows 11 Home 64-bit |
Processor | 1.8GHz Intel Core i7-8565U |
Storage | 1TB |
RAM | 256 GB SSD |
Battery Life | 11 hours approximately |
The HP ZBook 15 G5 is a mobile workstation designed to tackle heavy data science workloads. It offers Xeon® processor options (up to the Intel® Xeon® E-2176M with six cores and Turbo Boost to 4.4 GHz) paired with NVIDIA® Quadro® graphics, which can accelerate GPU-enabled machine learning frameworks such as TensorFlow and PyTorch.
Beyond raw performance:
Pricing: INR 2,77,000
Here are some critical specifications that make it powerful and the best laptop for data science professionals:
Features | Specifications |
Operating System | Windows 10 Pro for Workstations 64-bit |
Processor | Intel® Xeon® E-2176M (2.7 GHz base, up to 4.4 GHz Turbo Boost; 6 cores) |
Storage | 512 GB M.2 PCIe® |
RAM | 16 GB DDR4-2666 |
Battery Life | Up to 5 hours (workstation-rated) |
The HP Pavilion 15 powered by the AMD Ryzen 5 5500U delivers six high-performance cores (up to 4.0 GHz boost) and 12 threads, striking a balance between single-threaded data wrangling and multithreaded data preprocessing.
Its integrated AMD Radeon graphics enable lightweight GPU acceleration for libraries like CuPy or minor model training, while dual-channel 16 GB DDR4-3200 MHz RAM keeps Jupyter notebooks, IDEs, and browser tabs running smoothly.
Pricing: INR 62,990
Here are some critical specifications that make it one of the best laptops for a data science workflow:
Features | Specifications |
Operating System | Windows 11 Home |
Processor | AMD Ryzen™ 7 7730U |
Storage | 512 GB PCIe® NVMe™ SSD |
RAM | 16 GB DDR4-3200 (2 × 8 GB) |
Battery Life | Up to 8 hours (mixed usage) |
The Lenovo ThinkPad X1 Carbon is a premium ultrabook that balances performance and portability for data scientists on the move. It features 12th Gen Intel Core i5 or i7 processors, integrated Iris Xe graphics, and top-tier build quality with military-grade durability.
It’s ideal for data cleaning tasks, complex Excel operations, and iterative model development. The laptop also includes enterprise-grade security features like TPM 2.0 and a fingerprint sensor.
While it's not designed for GPU-heavy machine learning, its support for up to 32GB RAM and blazing-fast SSDs makes it ideal for statistical programming, dashboard development, and cloud-based workflows.
Pricing: INR 2,01,753
Here are some critical specifications that make it powerful and the best laptop for data science professionals:
Features | Specifications |
Operating System | Windows 11 Pro |
Processor | Intel® Core™ i7-1260P (4P + 8E cores) |
Storage | 512 GB M.2 PCIe® NVMe™ SSD |
RAM | 16 GB LPDDR5-5200 soldered |
Battery Life | Up to 9.4 hours (mixed productivity) |
The Lenovo LOQ 15IAX9 is part of Lenovo’s affordable performance line, well-suited for beginners in data science who also want the flexibility for gaming or content creation.
It typically includes Intel Core i5 12th Gen CPUs and dedicated NVIDIA RTX 2050 or 3050 GPUs, offering a solid balance for running Jupyter Notebooks, training ML models locally, or using TensorFlow and PyTorch.
Pricing: INR 62,549
Here are some critical specifications that make it one of the best laptops for data science students:
Features | Specifications |
Operating System | Windows 11 Pro (configurable) |
Processor | Intel® Core™ i5-12450HX |
Storage | Up to 2 TB (2 × 1 TB M.2 PCIe® NVMe™ SSD) |
RAM | Up to 32 GB DDR5-4800 |
Battery Life | Up to 8 hours (web browsing) |
The Acer Aspire 5 A515-57 is a highly popular choice among budget-conscious data science learners. Equipped with a 12th-Gen Intel® Core™ i5-12450H, this laptop provides reliable performance for coding, data visualization, and using libraries like pandas and matplotlib. Its generous port selection and full-HD IPS display add to the usability factor.
Despite its modest pricing, this model often includes upgradable dual-channel RAM and M.2 SSD slots, allowing it to grow with your skillset.
Please note: It’s not built for GPU-accelerated tasks but works well for cloud-based computing and lightweight local experimentation.
Pricing: INR 49,199
Here are some critical specifications that make it one of the best laptops for data science students:
Features | Specifications |
Operating System | Windows 11 Home |
Processor | Intel® Core™ i5-12450H (8 cores) |
Storage | 512 GB PCIe® NVMe™ SSD |
RAM | 8 GB DDR4-3200 (1 × 8 GB; expandable to 24 GB) |
Battery Life | Around 8 hours (light usage) |
As a result of the advancement of data and analytics, data science now requires a laptop that works well regarding CPU power, speed, battery capacity, and other aspects. As a result, the aforementioned best laptops for data science offer exceptional quality and power.
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https://www.apple.com/in/shop/buy-mac/macbook-pro/14-inch-macbook-pro
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