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About

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection

About

IBM SPSS Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems. • Addresses all facets of the analytical process from data preparation and management to analysis and reporting • Provides tailored functionality and customizable interfaces for different skill levels and functional responsibilities • Delivers graphs and presentation-ready reports to easily communicate results Organizations of all types have relied on proven IBM SPSS Statistics technology to increase revenue, outmaneuver competitors, conduct research, and data driven decision-making.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and teams interested in a data science notebook solution to make data science teams more productive

Audience

Companies that need a powerful data platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Starter: Free
Pro: $12/month
Enterprise: $99/month
Free Version
Free Trial

Pricing

$99/month
IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 4.4 / 5
ease 4.4 / 5
features 4.3 / 5
design 4.0 / 5
support 4.4 / 5

Pros & Cons from Real Users

Pros

  • SPSS offers an intuitive interface that simplifies complex statistical analyses. Its powerful data management features allow efficient handling of large datasets, while comprehensive reporting tools enable clear visualization of results. The software's versatility in supporting various data formats and its regular updates with new statistical methods enhance its functionality for both beginners and experienced users.
  • SPSS 20 is an industry-standard statistical software that has earned its reputation for being an essential tool for data analysis, particularly in fields like social sciences, medical statistics, and research. Having used SPSS 20 during both my undergraduate and postgraduate studies, I can confidently say that the software stands out for several reasons. 1. User-Friendly Interface SPSS is known for its intuitive interface that allows even those with minimal statistical training to perform complex analyses. The drag-and-drop functionality for data manipulation, along with its clean layout, makes the software accessible and easy to navigate. As a student, I found that SPSS 20 enabled me to quickly adapt to its features without a steep learning curve. 2. Comprehensive Statistical Tools SPSS 20 offers a wide range of built-in statistical techniques, from basic descriptive statistics to advanced predictive models. It caters to a variety of fields, including medical statistics, where its functionality has been incredibly useful in handling large datasets. For tasks such as regression analysis, ANOVA, and hypothesis testing, the software provides robust and reliable results. 3. Customizability and Scripting One of the strengths of SPSS 20 is its ability to integrate custom scripts using syntax, allowing users to automate repetitive tasks and customize their analyses. This feature is particularly beneficial for more advanced users who need to streamline workflows or conduct specialized analyses not covered by the standard menu options. 4. Data Visualization The software excels at producing clear and professional charts and graphs. From histograms to scatter plots and bar charts, SPSS 20's graphical capabilities allow users to visually interpret their data with ease. This has been especially useful in presenting research findings, as the software’s output can be easily exported to reports and presentations. 5. Reliability and Support During my undergraduate studies, I experienced a seamless experience with SPSS 20. The software handled large datasets and complex analyses without issues. Additionally, the software is backed by strong user support and an active community, making it easier to find troubleshooting tips and resources when needed. 6. Cross-Platform Compatibility SPSS 20 can import and export data in multiple formats, including Excel, CSV, and Stata, making it versatile and compatible with other data management tools. This feature ensures smooth data handling across different platforms, an advantage in academic and research settings where data comes from various sources.
  • High cost for individual users. Steep learning curve for advanced features. Limited customization options.
  • I would like to say this SPSS program is great. Good quality and Easily for beginners for research or statistics. Great job!!!
  • I have used SPSS for a long time now and I appreciate its capabilities. The tool makes data analysis, presentation nd integration easy. The software can handle different types of data.

Cons

  • While SPSS is user-friendly, some advanced features may require a learning curve for beginners. Additionally, the software can be resource-intensive, which may lead to performance issues on older machines.
  • As a postgraduate student pursuing a Master’s in Medical Statistics at the University of Kelaniya, Sri Lanka (2024 September), I have found SPSS 20 to be an invaluable tool for both my academic work and research projects. I have been using this version for the past two months, initially provided by the university as a temporary 14-day activation. During the first week of use, SPSS 20 ran smoothly, helping me manage complex statistical analyses efficiently, which is crucial for my coursework and ongoing research. However, midway through the activation period, I began encountering a persistent error: "A fatal error has occurred and the client can no longer communicate with the server." This issue rendered the software unusable. Despite attempting to uninstall and reinstall SPSS 20, the problem persisted, preventing further access. This was disappointing, especially since I had used SPSS previously during my undergraduate research at the University of Peradeniya without any major issues. In terms of usability, when functional, SPSS is straightforward and highly effective, offering a range of statistical functions that suit my needs as a medical statistics student. However, this technical error interrupted my workflow and was quite frustrating, as I had come to rely on the software for my studies. If other users have encountered similar issues, I hope this review offers some clarity and perhaps opens a conversation about potential solutions or workarounds for these technical problems. Overall, SPSS 20 is a great tool when it works, but resolving such errors is essential for seamless academic use.
  • Comprehensive statistical tools. User-friendly interface. Efficient data management. Good integration with other software.
  • Sometimes, I cannot fill data. Maybe due to my internet or my computer. In this SPSS version 29.
  • My only concern with SPSS is that it is not easy to understand especially with the layman person. It requires lots of practice to master the tool.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deepnote
Founded: 2019
United States
deepnote.com

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/spss-statistics

Alternatives

Alternatives

Harmoni

Harmoni

Infotools
JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
Stata

Stata

StataCorp LLC

Categories

Categories

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science Features

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

AccessOwl
Alteryx
Amazon Athena
Askia
Docker
GitHub
Google Cloud BigQuery
Google Cloud Container Security
Google Cloud Platform
JMP Statistical Software
Modelbit
MySQL
PyCharm
SOCRadar Extended Threat Intelligence
ShareCRF
SurveyXact
data.world
icCube
neptune.ai

Integrations

AccessOwl
Alteryx
Amazon Athena
Askia
Docker
GitHub
Google Cloud BigQuery
Google Cloud Container Security
Google Cloud Platform
JMP Statistical Software
Modelbit
MySQL
PyCharm
SOCRadar Extended Threat Intelligence
ShareCRF
SurveyXact
data.world
icCube
neptune.ai
Claim Deepnote and update features and information
Claim Deepnote and update features and information
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