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. So, give a few minutes to this article and find out the best data analysis laptop for you.
Best Laptops for Data Analysis
Table Of Contents
- Requirements for Data Analysis Laptops/ Data Analyst Laptop Requirements
- Summary of Laptop Requirements for Data Analytics
- Best Laptops for Data Analysis
- Summary of theBest Laptops for Data Analysis
- FAQ
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 least8 GB of RAM. But I recommend getting at least16 GB of RAMif you can afford it. Because RAM is important to deal with a large dataset. But if you think a16 GB RAMlaptop is a bit costly for you, you can go with8 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 anNvidia 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 thei7 processor(7th generation). This is more powerful and can easily perform some quitelarge tasks. Thei5 processorlaptops also have good performance but it’s not good as i7. So if you are buying a laptop forseveral years, then go with ani7 or i9 processor.
Minimum Requirement-Intel Core i5
Recommended Requirement-Intel Core i7
4. Storage
Storage is animportant factorwhen you are searching fordata analytics laptops. But if you are working in acompany, where everything is stored onremote servers, then storage is not that important for you. But if you are doing yourown work or doing work locally, then storage becomes themost important requirement for a laptop.
So I recommend going withSSD (Solid State Drive). SSD is a bitexpensive but much faster. SSD ismemory-based hard drivesinstead ofdisk-based hard drives. Especially when it comes to reading and writing the data off the disk, these aresignificantly faster.
However, if you think SSD is a bit expensive for you, you can go withHDD. HDD is much cheaper than SSD. But I personally recommend SSD.
If you are going withHDD, I would recommend1 TB of storage spaceand if you are going withSSD, I would recommend at least256 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 theless 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 understood the requirements. Now, let’s find the Best Laptops for Data Analysis-
Best Laptops for Data Analysis
1. 2024 Lenovo ThinkPad T490
- CPU-Intel Core i5-8265U up to 3.9 GHz
- RAM-16GB DDR4 RAM
- GPU-Don’t have dedicated GPU
- Storage-256GB-2TB SSD (Varies from Model to Model)
- Desktop-14” TN FHD
- Weight: 3.41 lbs
This is the best laptop for data analysis. And this laptop is capable of holdinga Unix-Like environmentsmoothly along with all the powerful specs required to runlarge data sets.This is the perfect choice for those who want to installLinux Distros on a Windows laptop.
In this laptop, you can configure theRAM (8-40GB)andprocessordepending upon your needs. But this laptop isnot good for thosewho want to work onparallel computing for Deep Learning/Machine Learning/Neural networks.Because ThinkPads do not have adedicated GPU.
As the storage unit of ThinkPads is from256GB-2TB SSD(varies from model to model), so you can test your code with as much data you can fit into its hardware resources.
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 a512 GB SSD, which is too fast and providesenough capacity for data scientists and analysts.
The GPU of this MacBook isAMD Radeon Pro 5300Mwhich works closely with4 gigs of built-in VRAM. In terms of Display, Apple wins with the16-inch screen featuring 3072×1920 pixels. This MacBook Pro is also known for itsexcellent Retina Display technology, supporting deepest blacks, liquid crystal enhancement, and precise visual alignment.
It has a powerful battery that lasts up to11 hours.
In a nutshell,Apple MacBook Prois good fordata scientists, data analysts,anddata analysis students. It’s the mostuser-friendly optionfor those people getting into the field too. The best part of the Apple MacBook Pro is its excellent graphics support.
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 anIntel Core i7-9750 processoron this laptop, so no issue of slow speed. Besides that, this laptop hasNVidia GeForce GTX 1650 GPUwhich is powerful and grouped with4 gigs of VRAM support.
For OS, you getWindows 10. This laptop has16 gigs of RAM, which is good to handlecomplex statistical analyseseasily. The15.6-inch screen sizeis good enough. The weight of this laptop is merely4 poundsand featuresUSB 3.0, Thunderbolt, and other productive ports for improved functionality.
Dell also provides aresponsive fingerprint scanner and excellent Wireless supportto improve the security and connectivity of data analysts. This laptop has a powerful battery that lasts up to 14 hours.
In a nutshell, thisDell XPS 15 7590is perfect for those data analysts, who wantfaster performance and excellent display quality.
4. Asus ROG Strix G
- CPU-Intel Core i7-9750H
- RAM-16GB DDR4
- GPU-NVIDIA GeForce GTX 1650
- Storage-1TB PCIe Nvme SSD
- Display-15.6” IPS Type FHD
This laptop has16 GB DDR4 RAMandNVIDIA GeForce GTX 1650GPU. Do you know thatGeForce GTX 1650is 2 times faster thanGTX 950and up to 70% faster thanGTX 1050…?
But its896 CUDA coremakes it less preferable than theGTX1060. But if you are looking for a laptop under a restricted budget, then you can consider this laptop.
What I like about this laptop is that it has ahigher bus width and 12 threadswhich helps in carrying out many tasks at once. And that is suitable for machine learning projects.
But the battery backup of this laptop is not good and has only4 hours of backup.
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)
ThisRazer Blade Pro 17has atop-notch Intel Core i7-9750H chipset. If you are working ondeep learning and sentiment analysis, this laptop hasNVidia GeForce RTX 2060 GPUgrouped with6 gigs of functional VRAM.
Besides this, there isa12 GB of SSDstorage unit that is fast and comes withdual-channel upgradeability. The display of this laptop is17.3-inchwhich is a good addition for data analysts. Most people work on additional screen space, but this laptop hasa 17.3-inch 1080p panelwhich is the best alternative for the additional screen.
The additional features of this laptop areface unlock, IR sensor, and Windows Hello compatibility.
In a nutshell, this laptop is good for those data analysts who are looking forscreen size, cooling, and processing power.
6. Acer Swift 3
- CPU-1.8GHz Intel Core i7-8565U
- RAM-8GB DDR4
- GPU-2GB NVidia GeForce MX150
- Storage-256GB SSD
- Desktop-14-inch FHD IPS (1920 x 1080)
- Clock Speed-Can go up to 4.6GHz
- Weight-2.97 lbs
If you are a beginner in Data analysis and looking to explore thecaveats of data visualization, mining, and prototyping, then thisAcer Swift 3is the perfect laptop to invest in. This laptop has anNVIDIA GeForce MX 150unit that can support up to2 gigs of VRAM.
The storage unit256GB SSDis also efficient and supports the quickest possible boot-ups. This laptop has apowerful batterythat lasts up to12 hourswithout requiring a recharge. The8 GB RAMhelps you to handlebasic statistical tasks, CRM alignment, and data visualization easily.
In terms of display, this laptop has a14-inch Full HD screenwith extraordinary clarity. The display resolution of this laptop is1920 x 1080 pixelswhich also makes excellent visual quality.
7. MSI GS65
- CPU-Intel Core i7-9750H
- RAM-32 GB RAM
- GPU-NVIDIA GeForce RTX2070
- Storage-1TB NVMe SSD
- Display-15.6″ Fhd
TheMSI GS65is the perfect laptop for data analysis and its specifications match the specifications of data analysis laptops. This laptop has32 GB of RAMandIntel Core i7-9750H.
This laptop is specially designed for deep learning and machine learning and hasCooler Boost Trinitythat helps in increasing the airflow and pressure for enhanced cooling execution.
In this laptop, there is a glass touchpad with a fantastic surface area that looks amazing. ForGPU, there are two alternatives available- one isRTX 2070, and the second isGTX 1070.
Summary of theBest Laptops for Data Analysis
For your convenience, I have created a table so that you can easilycompare the laptop’s configurations-
| Laptop Name | CPU | RAM | GPU | Storage | Price |
| 2024 Lenovo ThinkPad T490 | 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) | Check here |
| Apple MacBook Pro | 2.6GHz Intel Core i7 (9th gen) | 16GB | AMD Radeon Pro 5300M Graphics with GDDR6 memory | 512GB SSD | Check here |
| Dell XPS 15 7590 | 4. 5 GHz Intel Core i7-9750h | 16 GB | 4 GB Nvidia GeForce GTX 1650 | 256GB SSD | Check here |
| Asus ROG Strix G | Intel Core i7-9750H | 16GB DDR4 | NVIDIA GeForce GTX 1650 | 1TB PCIe Nvme SSD | Check here |
| Razer Blade Pro 17 | 2.6GHz Intel Core i7-9750H | 16GB | 6GB NVidia GeForce RTX 2060 | 512GB SSD | Check here |
| Acer Swift 3 | 1.8GHz Intel Core i7-8565U | 8GB DDR4 | 2GB NVidia GeForce MX150 | 256GB SSD | Check here |
| MSI GS65 | Intel Core i7-9750H | 32 GB RAM | NVIDIA GeForce RTX2070 | 1TB NVMe SSD | Check here |
And here the list ends!. So these are the7 Best Laptops for Data Analysis in 2024. Now it’s time to wrap up.
Conclusion
I hope you have found your best laptop among these7 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!
FAQ
How much RAM do you need for data analysis?
The amount of RAM needed for data analysis depends on the size and complexity of the data you’re working with. Generally, having more RAM is better because it allows for faster processing and handling of larger datasets. For small to medium-sized datasets and basic analysis tasks, a computer with 8 to 16 GB of RAM should suffice. This will ensure smooth performance and efficient processing. However, if you’re dealing with larger datasets or performing complex analyses like machine learning or advanced statistical modeling, it’s recommended to have 16 GB or more of RAM, ideally 32 GB or higher if possible. By considering the specific requirements of your analysis, you can allocate the right amount of RAM to ensure smooth and efficient data processing.
Which processor is best for big data analysis?
When it comes to big data analysis, one of the highly recommended processors is the AMD Ryzen Threadripper 3990X. This processor offers exceptional performance and is specifically designed for high-demand computational tasks. With a whopping 64 cores and 128 threads, it provides immense processing power, allowing for efficient handling of large datasets and complex analysis tasks.
Is Core i5 good for data analysis?
Certainly! A Core i5 processor can indeed be a good choice for data analysis, depending on your specific needs. While Core i5 processors typically have fewer cores and threads compared to higher-end options, they still offer ample processing power for small to medium-sized datasets and basic analysis tasks. If you’re not dealing with extremely large datasets or running complex analyses, a Core i5 processor can handle your requirements without any issues.
How much SSD is needed for data science?
For most data science projects, a minimum of 500 GB to 1 TB of SSD storage is recommended. This capacity allows you to store and manipulate datasets efficiently without worrying about running out of space. However, if you work with more extensive datasets or require extensive storage for multiple projects, opting for a higher capacity SSD, such as 2 TB or more, would be beneficial.
Is a graphics card necessary for data science?
In most cases, having a dedicated graphics card is not a necessity for data science. The primary workhorses for data analysis and modeling tasks are the CPU and RAM. However, there are situations where a graphics card can be advantageous. If you’re dealing with complex visualizations or working on tasks like 3D plotting, interactive dashboards, or deep learning with GPU acceleration, a dedicated graphics card can significantly enhance performance and speed up computations.
What kind of computer do you need for data analytics?
For data analytics, you need a computer with a fast brain, lots of memory, and a quick storage space. This helps you work with data easily. If your work is complex, choose a powerful computer. If it’s not too complex, a regular one can work
What laptop is best for SQL?
The best laptop for SQL should be speedy, have at least 8GB of memory, and use a solid-state drive. It should run the system you like, like Windows, macOS, or Linux, and have a comfy keyboard and screen for working with data.
Which is best laptop for coding?
The best laptop for coding needs to be fast, with at least 8GB of memory and a good keyboard. Choose a clear screen and pick an operating system like Windows, macOS, or Linux that you like to work with.
Is 8 GB RAM enough for data analyst?
Having 8GB of RAM is okay for simple data analysis, but if you work with big or complicated data, having more (16GB or even more) is better. It helps your computer handle the work smoothly.
How many cores for data analysis?
You should aim for a computer with at least 4 CPU cores for data analysis. If you can get one with 6 or 8 cores, that’s even better and will make your work faster.
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