Are you serious about Data Science and looking for a way to learn data science on the go? With the rise of smartphones and mobile applications, it’s easier than ever to pick up a new skill or hobby, including data science.
In this article, we’ll introduce you to the 10 best Android apps to learn data science. From introductory courses to advanced topics, these apps offer a variety of resources to help you become a data science expert.
Best Android Apps to Learn Data Science
- DataCamp
- Coursera
- Udacity
- Tableau Public
- Google Analytics
- Power BI
- TensorFlow
- Keras
- PyTorch
- Kaggle
Why you should learn data science
There are many reasons why someone might choose to learn data science. Here are a few points:
- High demand: Data science is a rapidly growing field, and there is currently a high demand for skilled data scientists. This means that there are many job opportunities available for those with the right skills and knowledge.
- Competitive salary: Due to the high demand for data scientists, salaries in the field are typically quite competitive.
- Versatility: Data science skills can be applied to a wide range of industries and fields, including finance, healthcare, marketing, and more. This means that data scientists can work in many different areas and industries.
- Impactful work: Data science can be used to solve complex problems and make a real impact in many different areas, from healthcare to climate change to social justice.
- Continuous learning: Data science is a field that is constantly evolving, which means that there are always new technologies and techniques to learn. For those who enjoy continuous learning, data science can be a very fulfilling field.
- Improved decision-making: Data science can help organizations make better decisions by providing insights and predictions based on data.
- Creative problem-solving: Data science requires creative problem-solving skills, as well as the ability to think critically and analytically.
Overall, learning data science can be a rewarding and fulfilling experience, with many opportunities for growth and impact in a variety of industries and fields.
1. DataCamp
If you are seriously want to learn Data Science and looking for an App which can help you to learn Data Science then DataCamp is the best option for you.
DataCamp is a popular online learning platform that offers over 350 courses on data science, machine learning, and programming. Their Android app allows you to access these courses on-the-go, as well as track your progress and earn certificates of completion.
- DataCamp’s courses are divided into bite-sized lessons that are easy to understand and follow.
- Courses are interactive, allowing you to practice what you learn through coding exercises and quizzes.
- The developers of the app have provided personalized courses to your skill level, allowing you to start at the right level and progress at your own pace.
- DataCamp’s Android app allows you to access their courses on the go, making it easy to learn anytime, anywhere.
- High-quality courses
- Interactive learning
- Personalized learning
- Certificates of completion
- Limited free courses
- No live support
- Limited interaction with instructors
2. Coursera
Coursera is a well-known online learning platform that offers courses from top universities and companies worldwide. Coursera app allows you to access their courses on the go, as well as track your progress and earn certificates of completion.
- Coursera offers verified certificates for some of their courses, which can be added to your resume or LinkedIn profile.
- It has a global community of learners and instructors, allowing you to connect with people from around the world.
- The app also offers courses in multiple languages, including English, Spanish, French, and Chinese.
- The best and most special feature so the app is it offers some free courses, allowing you to learn without spending any money.
- High-quality courses
- Wide range of topics
- Flexible learning
- Verified certificates
- Expensive courses
- Limited interaction with instructors
- Limited support
3. Udacity
Udacity is another popular app for the person who wants to learn data science. This is an online learning platform that offers courses in technology and business fields. Udacity App allows you to access their courses on the go, as well as track your progress and earn nanodegrees.
- Udacity offers nanodegrees, which are online certification programs designed to prepare you for a specific job.
- The app has partnerships with top companies like Google, IBM, and Amazon, which allows them to offer courses that are relevant to industry needs.
- Udacity’s courses are project-based, which means you’ll learn by doing and completing projects that simulate real-world scenarios.
- The best part of this app is courses are flexible, allowing you to learn at your own pace and on your own schedule.
- High-quality courses
- Career-focused
- Best Support
- Job placement
- Expensive courses
- Limited course selection
Data Analysis and Visualization
4. Tableau Public
Tableau Public is a data visualization software that allows you to create interactive dashboards and reports. Tableau allows you to access your visualizations on the go and share them with others. Tableau Public is free to use.
- Tableau Public allows users to create interactive data visualizations that can be shared online.
- This app also allows users to connect to a wide variety of data sources, including spreadsheets, databases, and cloud services.
- The amazing thing about this app is it has a large and active community of users who share their work and provide support to other users.
- Another best part of Tableau Public allows users to collaborate on projects by sharing workbooks and dashboards with others.
- Interactive visualizations
- Data connections
- Has a large active community
- Collaboration
- Limited data size
- Limited privacy
- Limited customization
5. Google Analytics
Google Analytics is a web analytics service that allows you to track website traffic and user behaviour. Google Analytics allows you to access your analytics data on the go and receive alerts for important events. Google Analytics is free to use.
- Google Analytics provides real-time data on website traffic, allowing users to see the number of visitors currently on their website.
- Users can create customized reports and dashboards to track specific metrics and KPIs.
- Google Analytics allows users to track e-commerce transactions and revenue, providing valuable insights into customer behaviour.
- The app tracks user behaviour across multiple channels, including social media, email, and mobile devices.
- Free to use
- Robust data
- Integration with other Google tools
- Easy to use
- Overwhelming data
- Limited data retention
- Limited customization
6. Power BI
Power BI is a business analytics service that allows you to create interactive visualizations and reports. Power BI app allows you to access your reports on-the-go and share them with others. Power BI offers a free trial and various subscription plans to fit your budget.
- Power BI seamlessly integrates with other Microsoft products, such as Excel and SharePoint, allowing users to easily import and analyze data from these sources.
- This app allows users to ask questions in plain English and get answers in the form of visualizations.
- The best part of this app is, it supports real-time data streaming, allowing users to analyze and visualize data as it is being generated.
- It supports a large number of data connectors, making it easy to connect to and analyze data from a variety of sources.
- User-friendly interface
- Customizable visualizations
- Collaboration features
- Affordable price
- Limited data manipulation
- Steep learning curve for advanced features
- Limited customization
- Limited mobile app functionality
Machine Learning and Artificial Intelligence
7. TensorFlow
TensorFlow is an open-source software library for machine learning and artificial intelligence. Their Android app allows you to access tutorials, code snippets, and pre-trained models on-the-go. TensorFlow is free to use.
- TensorFlow offers a flexible architecture that allows users to deploy computations on CPUs, GPUs, and TPUs (Tensor Processing Units), making it easy to scale up or down as needed.
- The app has a large and active community of users and contributors, offering a wealth of resources and support.
- It includes a number of built-in neural network models that make it easy to get started with deep learning.
- The best part of TensorFlow is it provides high-level APIs for building machine learning models, making it accessible to users with varying levels of technical expertise.
- TensorFlow is highly scalable
- Cross-platform compatibility
- Easy deployment
- State-of-the-art performance
- Steep learning curve
- Limited documentation
- Requires programming experience
- Limited model interpretability
8. Keras
Keras is an open-source software library for deep learning. Keras allows you to access tutorials, code snippets, and pre-trained models on the go. Keras is free to use.
- Keras has a user-friendly API that makes it easy to build and train deep learning models, even for users with limited programming experience.
- The app offers a modular and customizable architecture that allows users to easily add or remove layers, adjust activation functions, and more.
- The best part of this app is backwards-compatible with older versions, making it easy to update existing models without having to rewrite the code.
- Keras also supports multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, and Theano, allowing users to choose the backend that works best for their needs.
- Easy to use
- Fast prototyping
- Keras is highly flexible
- Great documentation
- Limited low-level control
- Less efficient than low-level libraries
- Less community support
9. PyTorch
PyTorch is an open-source software library for machine learning and artificial intelligence. Pytorce allows you to access tutorials, code snippets, and pre-trained models on the go. PyTorch is free to use.
- PyTorch uses a dynamic computational graph, which allows users to make changes to their models on the fly. This makes it easy to experiment with different model architectures and training techniques.
- This app provides detailed error messages that make it easy to identify and fix issues in the code.
- The best part of this app is it uses a Pythonic syntax, which makes it easy to learn and use for developers who are familiar with Python.
- PyTorch has a strong community of developers and users, which means there are plenty of resources and support available.
- Flexible
- Fast prototyping
- Easy to debug
- Good performance
- Steep learning curve
- Less efficient than lower-level libraries
- Fewer pre-trained models
- Memory management issues
Data Science Community and News
10. Kaggle
Kaggle is a platform for data science competitions, datasets, and code sharing. Kaggle allows you to access competitions, forums, and datasets on the go, as well as submit your own code and models. Kaggle is free to use.
- Kaggle hosts a wide range of data science and machine learning competitions, which provide an opportunity for users to work on real-world problems and win prizes.
- This app provides access to a large collection of datasets, which can be used for data analysis, machine learning, and other data-related projects.
- Good part of this app is a cloud-based notebook environment that allows users to create, run, and share code in a collaborative manner.
- Kaggle has a large and active community of data scientists and machine learning enthusiasts, which provides opportunities for networking, collaboration, and knowledge sharing.
- Learning opportunities
- Community support
- Real-world experience
- Data access
- Competition can be intense
- Limited to data-related projects
- Limited control over datasets
- Limited to Python and R
Conclusion
With the help of these 10 Android apps, you can learn data science on the go and become a data science expert in no time. From introductory courses to advanced topics, these apps offer a variety of resources to fit your learning style and budget. So, what are you waiting for? Download these apps today and start your journey to becoming a data science expert.