The term 'Data' has been around for a long time. In an era when 2.5 quintillion bytes of data are generated every day, data plays a critical role in business decision-making. But how do you think we'll handle so much data? In today's industry, there are several roles that deal with data to gain insights, and one such critical role is that of a Data Analyst. To glean insights from data, a Data Analyst requires a plethora of tools. This Top Data Analytics Tools article will discuss the top tools that every budding Data Analyst to a skilled professional must learn in 2022.
Programming Languages: R & Python
R and Python are the top programming languages used in the Data Analytics field. R is an open-source tool used for Statistics and Analytics whereas Python is a high-level, interpreted language that has an easy syntax and dynamic semantics.
Products: Both R and Python are completely free and you can easily download both of them from their respective official websites.
Companies using: Companies such as ANZ, Google, Firefox use R, and other multinational companies such as YouTube, Netflix Facebook use Python.
Recent Advancements/ Features: Python and R are developing their features and functionalities to ease the process of Data Analysis with high speed and accuracy. They are coming up with various releases on a frequent basis with their updated features.
Microsoft Excel
Microsoft Excel is a platform that will help you get better insights into your data. Being one of the most popular tools for Data Analytics, Microsoft Excel provides the users with features such as sharing workbooks, working on the latest version for real-time collaboration, and adding data to Excel directly from a photo, and so on.
Products
Microsoft Excel offers products in the following three categories:
- For Home
- For Business
- For Enterprises
Few of the versions are available for free for 1 month. All these products have various versions which differ in features and their pricing options.
Companies using: Almost all organizations use Microsoft Excel on a daily basis to gather meaningful insights from the data. A few of the popular names are McDonald’s, IKEA, Marriot.
Recent Advancements/ Features: The recent advancements vary on the basis of the platform. A few of the recent advancements in the Windows platform are as follows:
- You can get a snapshot of your workbook with Workbook Statistics
- You can give your documents more flair with backgrounds and high-quality stock images absolutely for free.
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Tableau
Tableau is a market-leading Business Intelligence tool used to analyze and visualize data in an easy format. Being named as a leader in the Gartner Magic Quadrant 2020 For the eighth consecutive year, Tableau allows you to work on a live data set and spend more time on Data Analysis rather than Data Wrangling.
Products: Tableau Product Family includes the following:
- Tableau Desktop
- Tableau Server
- Tableau Online
- Tableau Reader
- Tableau Public
Out of all, Tableau Public is a free Tableau software that you can use to make visualizations but you need to save your workbook or worksheets in the Tableau Server which can be viewed by anyone.
Companies using: Multinational organizations such as Citibank, Deloitte, Skype, and Audi use Tableau to visualize their data and generate meaningful insights.
Recent Advancements/ Features: Tableau is coming up with frequent updates to provide users with the following:
- Fast Analytics
- Smart Dashboards
- Update Automatically
- Ease of Use
- Explore any data
- Publish a dashboard and share it live on the web and on mobile devices.
The growing demand for and importance of data analytics in the market has resulted in numerous job openings worldwide. Shortlisting the top data analytics tools becomes more difficult as open-source
tools are more popular, user-friendly, and performance-oriented than paid versions.
Data Analytics and Business Intelligence Course at Syntax Technologies
Syntax Technologies' Data Analytics and Business Intelligence course (DA/BI) is one of the best training programs on the market. The program is designed to train people with little to no programming experience to become data professionals who combine analytical and programming skills - using data manipulation, data visualization, data cleansing, and other techniques to make sense of real-world data sets and create data dashboards/visualizations to share your findings.
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