Are you looking for the Best Laptops for Data Analysis?… If yes, then this article is for you. In this article, I will share the required configuration for data analysis laptops and the 7 best laptops for data analysis.
These are Trending Data Analytics Laptops in 2024. So, give a few minutes to this article and find out the best data analysis laptop for you.
Best Laptops for Data Analysis in 2024
Let’s start with the required configuration for data analysis laptops. In data analysis, you have to deal with data, analysis, and interpretation. So the requirements for data analysis laptops are-
Requirements for Data Analysis Laptops/ Data Analyst Laptop Requirements
1. RAM-
Any laptop for data analysis should have at least 8 GB of RAM. But I recommend getting at least 16 GB of RAM if you can afford it. Because RAM is important to deal with a large dataset. But if you think a 16 GB RAM laptop is a bit costly for you, you can go with 8 GB RAM, but don’t go below 8 GB.
Minimum Requirement- 8 GB RAM
Standard & Recommended Requirement- 16 GB RAM
2. GPU
If you are going to work on some machine learning & deep learning task, always look for advanced and newer graphics cards. My recommendation is an Nvidia GTX series GPU with at least 2GB VRAM. So the laptops that are good for gaming are often good for data science and data analysis.
Minimum Requirement- Intel Integrated UHD 620
Recommended Requirement- Nvidia GTX series GPU with at least 2GB VRAM
3. Processor
When it comes to the processor, I would recommend the i7 processor (7th generation). This is more powerful and can easily perform some quite large tasks. The i5 processor laptops also have good performance but it’s not as good as the i7. So if you are buying a laptop for several years, then go with an i7 or i9 processor.
Minimum Requirement- Intel Core i5
Recommended Requirement- Intel Core i7
4. Storage
Storage is an important factor when you are searching for data analytics laptops. But if you are working in a company, where everything is stored on remote servers, then storage is not that important for you. But if you are doing your own work or doing work locally, then storage becomes the most important requirement for a laptop.
So I recommend going with SSD (Solid State Drive). SSD is a bit expensive but much faster. SSD is memory-based hard drives instead of disk-based hard drives. Especially when it comes to reading and writing the data off the disk, these are significantly faster.
However, if you think SSD is a bit expensive for you, you can go with HDD. HDD is much cheaper than SSD. But I personally recommend SSD.
If you are going with HDD, I would recommend 1 TB of storage space and if you are going with SSD, I would recommend at least 256 GB of storage space.
Minimum Requirement- 1 TB HDD or 256 GB SSD
Recommended Requirement- 512 GB SSD or more.
5. Operating System-
When it comes to OS, it’s up to your preference. If you are a MAC lover or want to purchase their products, then it’s a great option for you.
But if you prefer Windows, that’s perfectly fine too. Many people choose Linux. So whatever OS you choose, almost all the applications and programming languages work perfectly fine.
NOTE- If your budget doesn’t allow you to meet all the requirements that I have discussed, so the less important requirement is storage. Because it’s easy to add on or upgrade later. And if you are accessing remote servers for your work, then you don’t need much storage.
Summary of Laptop Requirements for Data Analytics
| Requirement | What to Look For | Importance |
|---|---|---|
| Speed | A fast processor (like Intel i7 or AMD Ryzen 7). | Most: Speed is crucial for quick data analysis. |
| Memory (RAM) | At least 16GB of RAM for smooth data handling. | Most: Sufficient RAM ensures you can work with large datasets comfortably. |
| Storage | A spacious SSD (256GB or more) for quick access. | Most: An SSD accelerates data retrieval and software responsiveness. |
| Graphics | Integrated graphics are okay; a dedicated GPU for complex visuals. | Less: While helpful, advanced graphics are not as vital as other features for typical data analysis. |
| Software | Ensure it’s compatible with your data analysis tools. | Most: Compatibility with your software is essential for productive work. |
| Battery Life | 6 hours or more for on-the-go work. | Less: Longer battery life is nice but not as critical if you work primarily from a power source. |
| Portability | Consider size and weight for mobility. | Less: Portability matters less if you work in one location. |
| Durability | A well-built laptop for long-term use. | Less: Durability is important but not the top priority for most data analysts. |
| Budget | Find one that fits your needs and budget. | Most: Staying within budget is crucial; find a laptop that meets your requirements without overspending. |
| Connectivity | Check for the right ports (USB, HDMI). | Less: Having the right ports is useful but less critical compared to other factors. |
So, these are the requirements that you should keep in mind while choosing the best laptop for data analysis. I hope you understand the requirements. Now, let’s find the Best Laptops for Data Analysis-
Best Laptops for Data Analysis
1. Lenovo ThinkPad X1 Carbon
- CPU- Intel Core i5 or i7 processor (8th, 9th, or 10th generation)
- RAM- 8GB or 16GB LPDDR3 or LPDDR4X RAM (expandable up to 32GB)
- GPU- Integrated Intel UHD Graphics
- Storage- 256GB, 512GB, or 1TB PCIe SSD storage options
- Desktop- 14-inch IPS display FHD
- Weight: 1.09kg (2.4 lbs)
The Lenovo ThinkPad X1 Carbon is a really fast and lightweight laptop that’s perfect for people who need to work with lots of data. It has a good memory and storage, so you can do your work without any problems. The screen is nice and clear, which is important for looking at data and finding important information.
It also has lots of ports, so you can connect to other devices easily. It can connect to the internet really fast, which is great for downloading data and sharing your work with others.
The battery lasts a long time, so you can work for hours without needing to charge it. Plus, it’s thin and easy to carry around, so you can take it with you wherever you go.
Overall, the Lenovo ThinkPad X1 Carbon is a great choice for people who need to analyze data because it’s fast, reliable, and easy to use.
Drawbacks-
- Not great for heavy graphics stuff.
- Can’t upgrade much.
- Some might not like the keyboard.
2. Apple MacBook Pro
- CPU- 2.6GHz Intel Core i7 (9th gen)
- RAM- 16GB
- GPU- AMD Radeon Pro 5300M Graphics with GDDR6 memory
- Storage- 512GB SSD
- Display- 16-inch Retina Display with True Tone technology
As a data analyst, you have to focus on processors with multiple cores and the new MacBook Pro has 6. This MacBook Pro has a 512 GB SSD, which is too fast and provides enough capacity for data scientists and analysts.
The GPU of this MacBook is AMD Radeon Pro 5300M which works closely with 4 gigs of built-in VRAM. In terms of Display, Apple wins with the 16-inch screen featuring 3072×1920 pixels. This MacBook Pro is also known for its excellent Retina Display technology, supporting deepest blacks, liquid crystal enhancement, and precise visual alignment.
It has a powerful battery that lasts up to 11 hours.
In a nutshell, Apple MacBook Pro is good for data scientists, data analysts, and data analysis students. It’s the most user-friendly option for those people getting into the field too. The best part of the Apple MacBook Pro is its excellent graphics support.
Drawbacks-
- Not many plug options.
- Costs a lot.
- Can’t change much inside.
3. Dell XPS 15 7590
- CPU- 4. 5 GHz Intel Core i7-9750h
- RAM- 16 GB
- GPU- 4 GB Nvidia GeForce GTX 1650
- Storage- 256GB SSD
- Display- 15.6-inch 4K UHD OLED (3840 x 2160)
This is the perfect laptop for you if you are looking for a laptop that can handle technical and academic needs. There is an Intel Core i7-9750 processor on this laptop, so no issue of slow speed. Besides that, this laptop has NVidia GeForce GTX 1650 GPU which is powerful and grouped with 4 gigs of VRAM support.
For OS, you get Windows 10. This laptop has 16 gigs of RAM, which is good to handle complex statistical analyses easily. The 15.6-inch screen size is good enough. The weight of this laptop is merely 4 pounds and features USB 3.0, Thunderbolt, and other productive ports for improved functionality.
Dell also provides a responsive fingerprint scanner and excellent Wireless support to improve the security and connectivity of data analysts. This laptop has a powerful battery that lasts up to 14 hours.
In a nutshell, this Dell XPS 15 7590 is perfect for those data analysts, who want faster performance and excellent display quality.
Drawbacks-
- Might get too hot under pressure.
- The screen might drain the battery fast.
- Not many plug options.
4. Microsoft Surface Laptop 4
- CPU- Up to 8-core Intel Core i7 or AMD Ryzen 7 processor
- RAM- Up to 32GB LPDDR4x RAM
- GPU- Integrated AMD Radeon Graphics or Intel Iris Xe Graphics
- Storage- Up to 1TB SSD storage
- Display- 13.5-inch or 15-inch PixelSense touchscreen display
The Microsoft Surface Laptop 4 is a really strong and versatile computer that’s great for doing lots of different things, like analyzing data. It has a powerful brain called a processor, which helps it run programs smoothly, even when dealing with large amounts of data. Plus, it has plenty of memory and storage space, so you can store all your data and work on it without any problems.
The screen is really clear and sharp, which is important for looking at data and understanding it well. It also has good graphics, so everything on the screen looks nice and easy to read.
You can connect to the internet really quickly and easily, and it has different ports for plugging in other devices like a mouse or a USB drive. The battery lasts a long time, so you can work for a whole day without needing to charge it.
It’s also really light and thin, so you can easily carry it around with you wherever you go. And it comes with Windows 10, which is easy to use and familiar to most people.
Overall, the Microsoft Surface Laptop 4 is a great choice for anyone who needs a reliable computer for working with data because it’s powerful, easy to use, and has a long-lasting battery.
Drawbacks-
- Not many plug options, and no fast port.
- Can’t upgrade the memory.
- Costs more than others with similar stuff.
5. Razer Blade Pro 17
- CPU- 2.6GHz Intel Core i7-9750H
- RAM- 16GB
- GPU- 6GB NVidia GeForce RTX 2060
- Storage- 512GB SSD
- Display- 17.3-inch FHD (1920 x 1080)
This Razer Blade Pro 17 has a top-notch Intel Core i7-9750H chipset. If you are working on deep learning and sentiment analysis, this laptop has NVidia GeForce RTX 2060 GPU grouped with 6 gigs of functional VRAM.
Besides this, there is a 12 GB of SSD storage unit that is fast and comes with dual-channel upgradeability. The display of this laptop is 17.3-inch which is a good addition for data analysts. Most people work on additional screen space, but this laptop has a 17.3-inch 1080p panel which is the best alternative for the additional screen.
The additional features of this laptop are face unlock, IR sensor, and Windows Hello compatibility.
In a nutshell, this laptop is good for those data analysts who are looking for screen size, cooling, and processing power.
Drawbacks-
- Costs more than others.
- The battery doesn’t last long.
- Looks more like a gaming laptop.
6. HP Spectre x360
- CPU- Up to Intel Core i7 processor
- RAM- Up to 16GB DDR4 RAM
- GPU- Integrated Intel Iris Xe Graphics
- Storage- Up to 2TB PCIe SSD storage
- Desktop- 13.3-inch FHD or 4K OLED touchscreen display
The HP Spectre x360 is a really strong laptop that can do lots of different things, including analyzing data. It has a fast processor that helps it handle data tasks without slowing down, even when dealing with lots of information. With options for different memory and storage sizes, you can store all your data and work on it easily.
It has good graphics, so everything on the screen looks clear and easy to understand, which is important for looking at graphs and charts. Plus, the touchscreen display is really colorful and sharp, making it even easier to see your data.
This laptop is also lightweight and easy to carry around, so you can take it with you wherever you go. And the battery lasts a long time, so you can work for hours without needing to charge it.
Overall, the HP Spectre x360 is a great choice for data analysts because it’s powerful, easy to use, and has a clear and colorful display that makes working with data a breeze.
Drawbacks-
- Might get too hot under pressure.
- Not as strong as regular laptops.
- Costs more than some others.
7. ASUS ZenBook 14
- CPU- Up to AMD Ryzen 7 processor
- RAM- Up to 16GB DDR4 RAM
- GPU- NVIDIA GeForce MX450 with 2GB GDDR6 VRAM
- Storage- Up to 1TB PCIe SSD storage
- Display- 14-inch NanoEdge display
The ASUS ZenBook 14 is a handy laptop that’s good for lots of things, like analyzing data. It’s got a fast processor that helps it handle data tasks without any problems, even when there’s a lot of information to deal with. You can store all your data easily because it comes with different memory and storage options.
The screen is really clear and colorful, so it’s easy to see and understand your data, which is important for looking at graphs and charts. Plus, it’s lightweight and easy to carry around, so you can take it with you wherever you go.
Overall, the ASUS ZenBook 14 is a great choice for data analysts because it’s powerful, easy to use, and has a clear and colorful display that makes working with data simple and convenient.
Drawbacks-
- Not great for heavy graphics stuff.
- Might not like typing on it.
- Harder to fix if something goes wrong.
Summary of the Best Laptops for Data Analysis
For your convenience, I have created a table so that you can easily compare the laptop’s configurations-
| Laptop Name | CPU | RAM | GPU | Storage |
|---|---|---|---|---|
| Lenovo ThinkPad X1 Carbon | Intel Core i5-8265U up to 3.9 GHz | 16GB DDR4 RAM | Don’t have a dedicated GPU | 256GB-2TB SSD (Varies from Model to Model) |
| Apple MacBook Pro | 2.6GHz Intel Core i7 (9th gen) | 16GB | AMD Radeon Pro 5300M Graphics with GDDR6 memory | 512GB SSD |
| Dell XPS 15 7590 | 4. 5 GHz Intel Core i7-9750h | 16 GB | 4 GB Nvidia GeForce GTX 1650 | 256GB SSD |
| Microsoft Surface Laptop 4 | Intel Core i7-9750H | 16GB DDR4 | NVIDIA GeForce GTX 1650 | 1TB PCIe Nvme SSD |
| Razer Blade Pro 17 | 2.6GHz Intel Core i7-9750H | 16GB | 6GB NVidia GeForce RTX 2060 | 512GB SSD |
| HP Spectre x360 | 1.8GHz Intel Core i7-8565U | 8GB DDR4 | 2GB NVidia GeForce MX150 | 256GB SSD |
| ASUS ZenBook 14 | Intel Core i7-9750H | 32 GB RAM | NVIDIA GeForce RTX2070 | 1TB NVMe SSD |
And here the list ends! So these are the 7 Best Laptops for Data Analysis in 2024. Now it’s time to wrap up.
My Suggestion
I suggest Dell XPS 15 7590, based on my personal experience. This laptop has been my go-to companion in the world of data analysis, and here’s why:
With its Intel Core i7 processor and Nvidia GeForce GTX 1650 GPU, the Dell XPS 15 7590 is a powerhouse. It handles data analysis tasks with ease, crunching numbers and running calculations without any lag.
The 15.6-inch 4K UHD OLED display is stunning, making it easy to see and understand my data. It’s like having a high-definition view of my numbers, which has greatly improved my analysis process.
Battery life is impressive, lasting for hours on end. I can work on my data analysis projects all day without needing to worry about finding a power outlet.
Plus, the Dell XPS 15 7590 has plenty of ports for all my accessories, making it a versatile tool for my work.
Overall, the Dell XPS 15 7590 has been my reliable companion in the world of data analysis, offering power, clarity, and versatility. If you’re looking for a laptop to tackle your data analysis tasks, I highly recommend giving it a try.
Conclusion
I hope you have found your best laptop among these 7 Best Laptops for Data Analysis. I have listed all the laptops that meet the minimum requirement for data analysis. If you know of any other laptop that is best for data analysis, let me know in the comment section.
All the Best!
Happy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.