Top 10 Data Analysis Tools

It’s safe to say that, in today's world, companies that aren’t making business decisions based on insight gathered from data are already losing out to the competition. While data is a fundamental necessity in business today, it’s also essentially useless in raw form. There is often a lot to sort through and it takes a qualified data analyst who is proficient in the latest big data tools to take that data, use what’s important, make it easy for others to understand, and create a plan of action. Depending on your needs and goals and what types of data analysis you need to do, it’s worth learning about the various options you have when it comes to data analysis tools. 

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Let’s look at some of the useful data analysis tools available today.

1. Content Grabber Enterprise (A Sequentum Product)

If you need an advanced data extraction tool for web crawling, CG Enterprise from Sequentum is an excellent tool that enables development, testing, and production. Users can also control and debug the crawler with C# or VB.NET, or they can write scripts. However, this data tool may be a bit overwhelming for those who only know the fundamentals of data analysis and programming. As such, if you’re a beginner, you may want to hold off on using CG Enterprise initially. 

2. Orange

An open-source, machine learning toolkit that’s suited for all skill levels, Orange enables data professionals to visually present data that in an interactive way. It’s a versatile tool that’s compatible with three different operating systems, including Linux, Mac, and Windows. 

3. Looker

Cloud-based Looker provides has an intuitive drag-and-drop interface that’s easy to use. It provides data analytics and management, business intelligence, and advanced visualization capabilities. The tool’s multi-cloud strategy supports the use of various data sources and deployment methods. Looker also easily connects with an array of databases, including Snowflake and Redshift. 

4. KNIME

This open-source data analysis tool enables users to leverage powerful scripting languages like R and Python to build data science apps. It provides in-memory processing, as well as multithreaded data processing. IT’s drag-and-drop GUI is simple to navigate and easy to learn for beginners to coding. 

5. Lexalytics

For businesses that want to gain an understanding of the customer or employee experience with their products and services, Lexalytics collects information from their posts, tweets, and comments. It helps identify attitudes and feelings through a combination of text analytics, machine learning, and natural language processing, and more.

6. MariaDB

MariaDB is an open-source relational database that can be used for analytical, transactional purposes or both. A community-developed server, MariaDB takes data and turns it into structured information in a wide range of applications. Its SQL interface also makes it easy for users to access data in on-premises and cloud environments. 

7. RapidMiner

RapidMiner is a popular choice for data analysis software, as it allows users to improve productivity through automated machine learning. It doesn’t require users to write code manually and provides built-in security controls. It also facilitates team collaboration and includes a visual workflow designer for Spark and Hadoop. 

8. OpenRefine

If you’re looking for a free data cleaning and transformation tool, try OpenRefine.  Formerly known as Google Refine, this open-source data analysis software is highly secure. Once the big data is cleaned, data analysts can extend the dataset to external web services. OpenRefine is available in multiple languages.

9. Weka

To perform various data mining tasks, look no further than Weka. This collection of machine learning algorithms provides different tools for a wide array to enable model building, including clustering, classification, visualization, regression, and more. It is open-source software that also supports deep learning. 

10. NodeXL

Referred to as the “MSPaint of Networks,” this tool comes in two versions: NodeXL Basic and NodeXL Pro. The Basic version is a free, open-source tool that enables data scientists to visualize and analyze network graphs in Microsoft Excel. The pro version has additional features that extend to social media network data, and AI-powered text and sentiment analysis capabilities.

While this list is hardly exhaustive, it’s a good starting point.  In some cases, you may actually need to use a combination of different data analysis tools and techniques. One thing is clear, however, data science and analysis is already an essential practice for businesses that want to thrive in the modern world.

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If you’re looking for a data analytics course that prepares you for your certification, look no further than our Data Analyst Master’s Program. Upon completion, students are equipped with a new set of skills and a certificate that allows them to pursue a career as a data analyst. This course — co-developed with IBM — teaches students how to create data visualizations, work with SQL databases, use statistical tools, and different programming languages, such as Python and R. This course also covers a wide range of data analytics tools, such as SciPy and Tableau Partner.

Students in this accredited program have the opportunity to work on more than 15 real-world industry projects, which gives them the chance to receive practical training in this complex field. The course also includes lifetime access to self-paced learning, 30+ in-demand skills, and $1,200 worth of IBM cloud credits. 

The course prepares students for their certifications, which actually includes two different certificates from both IBM and Simplilearn. In today’s competitive job market, having credentials will make you stand out in the crowd. Our comprehensive program prepares students for a variety of related careers. Aside from a career as a data analyst, graduates of this course may also be qualified to work as a business intelligence engineer, business intelligence analyst, analytics manager, and in various managerial roles, just to name a few. 

Learn more about our Data Analyst Master’s Program and get started by enrolling today!

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