What Does a Data Analyst Do?

As more and more data is being created, the corresponding need for those who can manage it is increasing as well. Data Analysts are tasked with taking huge stores of data and working to locate information and trends about past and current practices, as well as offer predictions about what is likely to happen at a company or business based on these numbers. Data Analysts transform large sets of data into engaging visualizations that are accessible to all members of a team or business. These clear and engaging visual aids can be used to help employers make sound business decisions.

What Tools Should a Data Analyst Learn?

Those working with data must wear many hats; they have to have an understanding of how to collect and clean data, patience for analyzing large sets of data, a knack for storytelling, and a passion for finding ways to visualize their findings so that they can be shared with others and ultimately acted upon. This article will explore some of 2021’s core tools for each step of the data analytics process, as well as their primary industry uses.

Tools for Data Storage

Modern data storage has been around for nearly one hundred years. In the time since, it has evolved from storing information magnetically on tape to the vast database management systems and cloud storage options currently in use to retain digital data.

Here are a few of the most common ways data is being stored in 2021:

Tools for Data Mining

Data mining involves uncovering relationships and patterns in large datasets. This advanced form of data analysis draws from AI, statistics, andmachine learningto help users locate important information. Those who are skilled at data mining can offer their organization insights about customer needs, as well as suggestions for how to cut down on costs and increase revenue.

Here are a few data mining tools that are popular among Data Analysts in 2021:

Tools for Statistical Analysis

Statistics plays an important role in the data analytics process. This branch of mathematics involves studying and manipulating data in order to represent specific characteristics. The data used can be quantitative or qualitative.Statisticsprovides users with a means for collecting, reviewing, and analyzing data, as well as a way to draw conclusions from this data and ultimately make better business decisions. Applying statistical methods to data analytics is a vital process, one that fuels new discoveries, informs the decision-making process, and helps predict what is to come.

The following list contains some of the currently most-used statistical tools for data analytics:

Tools for Data Visualization

One of the most useful tools available for presenting complicated material in an accessible way is data visualization. Presenting data in a visual manner makes it easier to understand and faster to process, even for those who aren’t mathematically inclined or trained in analytics. These visual representations of data are not just visually appealing, they also tell a story about the information, allowing audience members to spot outliers, notice trends, and see patterns emerge from data. Visually conveying points is a powerful way to leverage data in order to achieve the desired outcome.

The following are several of 2021’s most popular tools for data visualization:

Tools for Business Analytics & Data Reporting

Business analytics is a subset of business intelligence. It is involved with using methods such as predictive analytics,statistical analysis, and data mining in order to find useful information in large datasets. This information is helpful for identifying and predicting trends and various outcomes, which can be reported and shared with stakeholders in order to facilitate better decision-making.

The following list includes some of the most powerful tools for business analytics and data reporting in 2021:

Hands-On Business Intelligence & Data Analytics Classes

For those who want to learn more about how to process, analyze, and ultimately visualize big data, Noble Desktop’sdata analytics classesare a great starting point. Courses are offered in New York City, as well as in the live online format in topics like Excel, Python, data science, and data analytics technologies, among others.

In addition, more than 130live online data analytics coursesare also available in data analytics and visualization from top providers. Topics offered include FinTech, Excel for Business, and Tableau, among others. Courses range from three hours to six months and cost from $219 to $27,500.

Those who are interested in learning more about data visualization may also want to check out the more than six dozenlive online data visualization coursesavailable. Topics include Tableau, Python, Excel, and Power BI, among others. There are alsolive online Power BI classescurrently available for those looking to specialize in this intelligence platform. These interactive classes are taught in real-time and provide all learners with access to an instructor who is teaching live (in-person and online) and is ready to provide feedback and answer questions.

Additionally, Noble’sData Analytics Classes Near Me toolprovides an easy way to locate and browse approximately 400 data analytics classes currently offered in in-person and live online formats. Course lengths vary from three hours to 36 weeks and cost $119-$27,500.