10 Best Online Data Analysis Tools for Data Analysts

Edited By Nikhil Verma | Updated on Jan 30, 2024 03:33 PM IST | #Data Analysis

Data in itself is just letters and numbers. Each passing day millions of data accumulate and tangle. Data becomes useful when you can analyse it and understand the problems that you are facing. This has led to an increase in the demand for the best online tools for data analysis. Data analysis is considered the process of cleaning, transforming, and modelling data to extract useful information that can play a crucial role in decision-making. Read more about the tools used for data analysis by registering for these best data analytics online courses.

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10 Best Online Data Analysis Tools for Data Analysts

In our data-rich era, a proper understanding of how to analyse and extract accurate meaning from the digital insights available to our business is an important aspect. Demand for data analysts and data analysis tools has increased considerably in the past few years.

Best Online Tools for Data Analysis

Many companies have realised the importance of data analysis in their organisations. Thus they demand professionals who are adept at handling all the best online tools for data analysis. In online data analysis courses, students learn to collect, curate, organise, and analyse the data, which will eventually help them boost their business or the organisation that they are working for. So, here we have compiled some of the best tools for data analysis.

1. Content Grabber Enterprise (A Sequentum Product)

If you are looking for an advanced data extraction tool for web crawling, then CG Enterprise from Sequentum is an exceptionally good tool that allows development, testing, as well as production. Apart from this, Content Grabber Enterprise also allows users to control and debug the crawler with VB or C#. This is one of the best online tools for data analysis for people who are aware of the data analysis field, but in case you are a beginner in this industry, then you can opt for some online data analysis training specialised in Content Grabber enterprise.

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2. Orange

This is one of the best online tools for data analysis. One of the main reasons is that it is an open-source, machine-learning toolkit that allows data professionals to present their data in a more interactive way. It is one of the best versatile data analysis tools and is compatible with three different operating systems, namely Linux, Mac, and Windows.

If you are a candidate interested in learning about data analysis using Orange, then you can opt for both online and offline data analysis certification courses specialised in Orange.

3. Looker

Cloud-based Looker is a great data analysis tool that has been provided with an intuitive drag-and-drop interface that is easy to use. It provides the user with functions such as Data Analytics and management, Business intelligence as well and Advanced visualisation capabilities. The multi-cloud strategy of this data analysis tool supports various data sources and deployment methods. Looker easily connects with an array of databases, for example, snowflakes and Redshift.

Major advantages of Looker data analysis tools are:

Modern BI and analytics
Integrated insights
Data-driven workflows
Custom applications

4. KNIME

This is one of the best online tools for data analysis that allows users to leverage powerful languages like R and Python, which can help them build data science apps. It is one of the most used data analysis tools because it provides in-memory processing and multithreaded data processing. Its drag-and-drop GUI can be navigated quite easily and is very simple to learn for people who are beginners at coding.

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5. Lexalytics

This data analysis tool is quite suited for businesses that are interested in gaining an understanding of the customer or employee experience in terms of their products and services. Lexalytics is a tool that collects information from their posts, tweets, as well as their comments. This is one of the best data analysis courses online that help in identifying the attitudes and feelings of the customers through a combination of text analytics, language processing machine learning, and more.

This is one of the best data analysis tools, and if candidates are really interested in developing a good understanding of it, then they can opt for some data analysis classes that are based on Lexalytics.

6. MariaDB

MariaDB is among the most popular top data analysis tools out there in the market. It is an open-source relational database that is used by companies and organisations for analytical, transactional purposes or both. Maria DB is a community-developed server, which takes data and, thereafter, turns it into structured information. The SQL interface of this data analysis tool makes it very convenient for users to access data in on-premises and other cloud environments.

A good hand at MariaDB can be of great advantage for individuals who are planning to enter the field of data analysis. A data analysis certification course specialised in MariaDB can be a great idea.

7. RapidMiner

RapidMiner is another outstanding choice for data analysis software. This data analysis tool allows users to improve their productivity by use of automated machine learning. The is that the tool does not require users to write the codes manually, but rather it provides built-in security controls. Apart from these features, it also facilitates team collaboration and a visual workflow designer for Spark and Hadoop.

Opting for some data analysis training that has modules providing an overview of Rapidminer can be a great idea for candidates interested in the data analysis field.

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8. OpenRefine

If you are searching for a free data cleaning and transformation tool, then you can definitely go for OpenRefine. Commonly known as Google Refine, this is an open-source data analysis software that is highly secured. The advantage of using this data analysis tool is that after cleaning the big data, it allows the data analysts to extend the dataset to external web services. Also, OpenRefine is available in a variety of languages.

There are a vast variety of online courses available that provide you with a specialisation in various tools of data analytics that is OpenRefine in this case. One can easily opt for them and get a good hand at this data analysis tool.

9. Weka

This data analysis tool is very helpful in performing functions like various data mining tasks. Weka is a collection of machine learning algorithms that provides different tools for a wide array to enable

Model building
Including clustering
Classification
Visualisation

This is one of the best tools in data analytics which is open-source software, and it also supports deep learning. Weka is a great tool, and getting a deep understanding of it can be very helpful. For this, one can pursue any data analysis course that provides a specialisation in Weka.

10. NodeXL

NodeXL is an excellent data analysis tool that comes in two basic versions. Using the free version of this open-source tool allows data scientists to visualise and analyse network graphs in Microsoft Excel. In contrast, the pro version has some additional features that include social media network data, sentiment analysis capabilities, and AI-powered text. NodeXL is positioned as a data interpretation and analysis tool allowing advanced features for professional social networks and content analysis.

If you want to excel in this data analysis tool, then you can choose from the variety of data analysis courses present out there. It will give you an overview of this tool, and at the same time, you will also get a certification that will add to your resume.

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Conclusion

It is estimated that the global data analytics market will reach 24.63 billion dollars in the upcoming years and continue to grow at a CAGR of 25% by the year 2030. So take some of the best data analytics courses for beginners to have an understanding. From there you can move into intermediate and advanced courses. These online courses for data analysis will enable you to become adept at using the best online tools for data analysis available in the market.

Frequently Asked Questions (FAQs)

1. What are some of the examples of data analysis?

Some of the prominent examples of data analysis are Descriptive Analysis, Inferential Analysis, Diagnostic Analysis, Text Analysis, and Predictive Analysis.

2. What do we mean by data analysis tools?

Data analysis tools are the ones that help us in forming a series of charts, maps, and diagrams via which we are able to collect, interpret, and present data for a wide range of applications and industries. These tools basically help in collecting and structuring the data

3. Are data analytics certification courses worth the money and effort?

Yes, they are. Data analysis has grown so much in this modern era and has become such an essential aspect for any company that the demand for data analysts has also increased. So in order to use all of the best online tools for data analysis available in the market you will need high levels of proficiency.

4. What are some of the skills I will learn in data analytics online courses?

You become proficient in statistical programming, data visualisation, machine learning, and critical learning. These are the skills you can acquire from some of the best data analytics online courses.

5. Which platforms offer the best big data analytics courses?

The platforms that offer the best big data analytics courses in the industry are Simplilearn, Cloudera, Big Data University. Hortonworks, and Coursera.

6. Is coding an essential skill for data analysts?

Data analysts do not require very high-level knowledge of coding, but they definitely should know the basics of analytics software, data visualisation software, and data management programmes.

7. Is data analysis a challenging task?

It is not very tough if you are good with numbers and analysis. It becomes easier if you have patience and focus. Equipped with some of the best online tools for data analysis you will become a valued asset in your industry.

8. What are the core subjects offered in the field of data analysis?

The core subjects taught are Data Structures and Algorithms, Probability and Statistics, Relational Database Management Systems, Business Fundamentals, Text Analytics, and the like.