Login with Facebook

Data Science: Fundamental tools for data analysis

Data Science is a recent science, which is conquering the digital world. Many companies use Data Scientist which produces reports on market trends on customer needs, to improve their products. Data Scientists manage large amounts of data, more or less structured and make use of tools and programming languages ​​for Data Science. In this article, we will share some of the Data Science tools most used by Data Scientists to carry out their data operations.


 Why use a Data Science tool?

The advantages of using Data Science tools are that they are the tools that generally do not need programming and provide GUI (Graphical User Interface). So anyone with a minimum knowledge of algorithms can use these tools to create high-quality machine learning models.


Many companies have recently launched GUI-based Data Science tools. These tools simplify various aspects of data science such as data archiving, manipulation and modeling. The tools facilitate the work of data strategists, gaining speed, quality and process management.

 

The best tools for Data Science

 

1. Apache Spark

 

Apache Spark, or simply Spark, is a powerful analysis engine and is among the most used tools in the field of Data Science. It is software that facilitates the writing of executable programs on computers, called workers. Each worker is entrusted with the task of retrieving data from a source, processing it and relating it to other workers, extracting a set of data deriving from processing.


Spark is specifically designed to manage the processing of data on a database, or in streaming; continuously processing the data at the time it is collected. It comes with many APIs that facilitate Data Scientist repeated access to data for Machine Learning, Storage in SQL and can perform predictive analysis. The tool is very valid for the ability to manage Big Data streams in real-time compared to other analytical tools that only process historical data. Spark also offers various programmable APIs in Python, Java, and R.

 

2. SAS

 

 

SAS is one of those tools for data science that are specifically designed for statistical operations. SAS is proprietary closed source software used by large organizations to analyze data. SAS uses a basic programming language that allows you to perform statistical modeling. It also offers numerous statistical libraries and tools to use for data modeling. SAS is reliable and has excellent customer support, but is not inexpensive and has libraries and SAS packages that must be purchased separately. SAS is also statistical programming software that simplifies code writing operations. Its market is mainly geared towards larger companies. However, there are open-source tools that have the same characteristics.

 

 

3. BigML

 

 

BigML is another popular Data Analytics tool. BigML provides a fully interconnected cloud-based GUI environment that can be used for processing machine learning algorithms. BigML provides standardized software that uses cloud computing for data management. Through this, Data Science specialists can analyze data from various company departments. The software can be used to make sales forecasts, risk analysis, and product innovation, as it is programmed for predictive modeling. It widely uses algorithms that perform clustering, classification and time series forecasting.

 

4. MATLAB

 

MATLAB is a numerical computing and statistical analysis environment written in C language and allows us to process numerical information. It is closed-source software that allows manipulation of matrices, algorithmic implementation and statistical modeling of data. MATLAB is widely used in different scientific fields. In relation to Data Science, MATLAB is used to simulate neural networks and fuzzy logic. Through the proprietary graphics library, it is possible to create very valid visualizations. MATLAB is also used in image processing using computer algorithms to create process, transmit and display digital images. 

 

5. Excel

 

Excel is a powerful analytical tool for Data Science. Excel comes with various formulas, tables, filters, and tools. You can also directly create custom functions and formulas. Although Excel cannot handle large amounts of data, it is still an ideal choice for creating visualizations. You can also link Excel with SQL, the well-known database management language, and use it to manipulate and analyze data. Many Data Scientists use Excel for data cleaning, as it provides an interface that can be interfaced with a graphical interface to easily pre-process information.

 

6. Tableau

 

Data is transformed into value only if presented in an easily understandable way. Tableau is leading data visualization software in the field of Data Science, equipped with powerful graphics to create interactive dashboards. It is widely used in the representation of statistical data and the field of Business Intelligence. The most important aspect of Tableau is its ability to interface with databases, spreadsheets, and OLAP (Online Analytical Processing) cubes. In addition to these features, Tableau can display geographic data and draw maps with longitudes and latitudes. Tableau also has a data analysis tool. Tableau uses an active community and you can share your creations on the online platform. Tableau is paid software but has a free version called Tableau Public.

 

7. Jupyter

 

Project Jupyter is an open-source IPython-based tool that allows you to program open-source software and experiment with interactive processing. Jupyter supports multiple languages, including Julia, Python, and R. It is a Web application tool used to write real-time code, visualizations, and presentations and is very common in those dealing with Data Science. The tool presents an interactive environment through which Data Scientists can perform all their activities. It is also a powerful narrative tool as there are several presentation features. Jupyter takes care of executing functions such as data cleaning, statistical calculation, visualization and creation of predictive models based on Machine Learning. 

 

8. Matplotlib

 

Matplotlib is a plotting and display library developed for Python. It is a tool widely used for the generation of complex graphs, derived from the analyzed data, using simple lines of code. Matplotlib facilitates the generation of bar charts, histograms, scatter charts and other forms of visualization. Matplotlib has several essential modules, one of the most used is pyplot, which can be interfaced with MATLAB and is, therefore, an open-source alternative to the graphic modules of MATLAB.

The fact that it is a Python library makes Maptplotlib easily integrated with the most well-known programming software, widely used in data science. It is, therefore, an ideal tool for beginners in learning data visualization in a Python environment.

 

9. TensorFlow

 

TensorFlow is a machine learning tool that provides optimized modules for programming algorithms with different functions, both perceptual and language comprehension. It has APIs that interface it to Google products like speech recognition, Google Photo, Gmail, and the search engine. The tool is widely used to develop advanced machine learning algorithms and AI, used mainly in Deep Learning. It is an open-source and constantly evolving toolkit, known for its performance and high computational capabilities. TensorFlow can work on both CPU and GPU. This feature gives a great advantage in terms of the processing power of advanced machine learning algorithms. For Data Scientists specializing in Machine Learning, Tensorflow is an indispensable tool.

 

10. Weka

 

Weka is the automatic learning software written in Java. It is a collection of various Machine Learning algorithms for data mining. Weka includes various machine learning tools that operate in classification, clustering, regression, visualization and data preparation.

Weka is open-source GUI software that allows easy implementation of machine learning algorithms through the platform and allows activating the machine learning activity without having to write a line of code. It is ideal for less experienced Data Scientists.

 

Conclusions


Data science requires a wide range of tools, which perform data analysis, allow you to create pleasing and interactive visualizations and powerful predictive models using machine learning algorithms. Most Data Science tools offer different data analysis functions with a single tool. This makes it easier for the user to implement data science features without having to write the code from scratch. We presented the most popular Data Science toolstools for data analysis, aware of the fact that every week many other tools are created that allows performing data analysis functions.


Comments




Send Comment

Need a custom
essay?

We will write it for you.
Order now

Free Essay Examples

Free essays:

All you need to know about the ACA Code of ethics
Architecture and Democracy: An Introduction
Architecture and Democracy: Democratic Values
Architecture and Democracy: Democratic Procedures
All You Need to Know About a Synthesis Essay
An essential guide to understanding Film Theory
Application of Artificial Intelligence in Cyber Security
Applications of electrical engineering
Augmented reality: what it is, how it works, examples
Advantages And Disadvantages Of Social Networking
All you need to know about Cryptography
Applications of astrophysical science
All you need to know about architecture engineering
Applications of geological engineering
Artificial intelligence and medicine: an increasingly close relationship
An insight into Computational Biology
ACA code of conduct
A Rose for Emily
Applications of Mathematics in daily life
Architecture mistakes to avoid
All you need to know about Toxicology
All you need to know about Holistic Medicine
All you need to know about linguistics
An introduction to Linguistics and its subfields
All you need to know about Anxiety disorder
All you need to know about Drones
A Brief Insight into Political Science
Assumptions related to feminism
All you need to know about Byzantine emperors
All you need to know about labour economics
An insight into xenobots -the first-ever robots
Biomedical engineering trends to look out for
Bionic Limbs and Technology: Advancements Improving Patients' Lives
Bipolar disorder: Symptoms, causes, diagnosis and treatment
Biochemistry of neurotransmitter
Brain-Computer Interface systems with EEG signals
Consequences of racial discrimination in urban housing development
Cryptocurrency: Advantages and Disadvantages
Character Archetypes: The Good
Character Archetypes: The Bad
Contemporary art trends
Commonly Confused Words
Commonly Confused Words: Part 2
Characteristics of the byzantine architecture
Data Visualization: What it is and why it matters?
Data Science: Fundamental tools for data analysis
Different forms of dance you should know about
Digital Imaging: What Is It?
Dynamic Systems Modeling with Machine Learning
Eat To Live or Live To Eat
Everything you need to know about WiMAX
Everything you need to know about Data Science
Everything you need to know about Virtual memory
Entrepreneur trends to know about
Effects of Different Environmental Factors on Artworks
Film styles and the types of styles for shooting a film
Famous African American literature authors
How to Write a Personal Essay
Housing Needs in America
How to Write a Description Essay
How to Create an Excellent Scholarship Essay?
How to write a cause and effect essay
How to Hire the Best Essay Writing Service Provider?
How to Write a College Application Essay?
How to get the most out of your English lectures
How to write Expository Essay
How to succeed in your psychology class?
How to Write an Academic Essay in the Shortest Time?
History of Journalism
How Different Sectors are Using Artificial intelligence (AI)
How to write an informative essay
How to deliver persuasive essays?
How to Give a Convincing Presentation
How to write an essay on leadership?
Historical Art Still Around Today
Humanoid robot: what it is, how it works and price
History of Chemistry
Healthcare Advanced Computer Power: Robotics, Medical Imaging, and More
Healthcare AI: Game Changers for Medical Decision-Making and Remote Patient Monitoring
How to understand different types of English
How to Cope with Chronic Pain
How African American choreographers and dancers have influenced American dance
How mobile robot can do in logistics or in production
How To Become a Successful Entrepreneur
History of the Philosophy of Feminism
How is the climate changing?
How to Track Your Content Marketing ROI
How to Gun control In the USA?
Historical and contemporary role of labour in the modern world
Introduction to Urban Studies
Importance of dance in education
InMoov: how to build an open source humanoid robot
Importance of KYC verification to making the Blockchain secure
Importance of Rhythm
Importance of dance student evaluation
I/O control methods -types and explanations
Identity theft: what to do?
Know about the history of science
Know about the different forms of traditional African dances
Latest dance trends
Latest technology trends
Modern sociology trends you should know about
Modern Art that the Past Would Have Scorned
Modern Art that the Past Would Have Scorned, Part 2
Memory Management in an Operating System
Misconceptions About the Word “Introvert”
Major healthcare trends
Nuclear fusion: What it is and how it works?
Neural networks: what they are and what they are for
Philosophy of Art: Written Forms as Art
Robotic Integration into Our Lives: Now and the Future
Role of a neuroscientist
Risk management, meaning, and importance for companies
Role of gender studies
Role of a digital artist
Should You Start a Career Or Enter University At 18?
Smoking Should Be Banned
Should You Go Digital?
Standard finance terms to know about
Social robots
Schizophrenia - a rare psychiatric illness | Essay
The Looming Energy Crisis in America
Top benefits of performance-based engineering
The More Languages You Know, The More Times You Are a Man
Things to consider while writing an Argumentative Essay
Top Ways to Improve Your Academic Writing Skills
Tips to Excel in Creative Writing
The origins of films in the early 19th century
Top career options in Architecture
The Elevator Pitch
Top finance trends 2020
The basic Structure and functionality of robots
The Way to Success
The election system of the President in the United States of America
Two-party System in United States of America
Top trends in urban design
The history and theory of African American filmmaking
Top benefits of creative writing
Tinnitus Guide: Common Symptoms and Treatment Options
The language of dance
The digital image processing management
Top famous politicians of the World
Top methods of political science!
The history of the feminist movement
Understanding the sociology of Race & Ethnicity
Urban planning in the US
Virtual reality, what it is and how it works
Various theoretical perspectives of sociology
What is a Definition Essay?
What are diagnostic essays?
What is the relation between art structural engineering?
What is a Narrative Essay
What are robotics and intelligence systems?
What are the benefits of studying health sciences?
What is artificial intelligence and why it matters?
What is comparative Literature?
Why study neuroscience
What is Wi-Fi and how does it works
What is French history famous for?
What are Humanistic Studies?
What is covered in Biophysics?
What is modern journalism?
What is Virtualization? Benefits & Applications
What are modern public relations?
What is plasma physics?
What is teacher preparation?
What is rapid prototyping for 3D printing?
What is contemporary European Politics?
Why should you learn American Ballet?
What is engineering physics?
What is the purpose of African American Literature?
Ways to learn the Rhythm
What is digital art used for?
What are Enzymes and how do they work
Who is the father of political science?
Why Study Political Science - Job?
What is the Philosophy of Feminism?
What is a quantum computer?
Ways B2B Startups Streamline Their Conversion Strategies
Why do biomedical signals need processing?
What are the long term effects of climate change?
Why study labour relations
4 Facts about Origin of Mathematics!
5 techniques to create an animation
13 Best colleges for political science in the world