Why Learn Data Analytics?

Data analytics is the practice of interpreting raw data so that professionals can make conclusions about the information it contains. Organizations then use these conclusions to help them make more informed business choices. Have you ever explored all of the things data analytics can do? Because it is used in a variety of industries, studying data analytics can open many professional doors. And, because more data is being created each day than ever before, the need for qualified individuals to handle it all is high and expected to continue to increase.

Here, you’ll learn more about the careers that benefit from data analytics and how it can enhance your professional life. Regardless of your overall goals, learning data analytics is a valuable and impressive skill to add to your resume.

What is Data Analytics?

Data analytics is a broad term that describes the various techniques used to analyze raw, unprocessed data so that relevant insights and trends can be extracted. Organizations then use this information to make more informed, data-driven decisions. The data analytics process includes gathering data, organizing them, and performing statistical analysis on these numbers. Once the analysis is complete, the Data Analyst offers predictions that can inform the company’s next steps.

Each day, an estimated 2.5 quintillion bytes of data is created. This number is expected to grow as more organizations embrace technological advances and expand their online presence. However, until these data are analyzed, they are just numbers. A Data Analyst’s job involves combining computer programming, math, and statistics to interpret these numbers and transform them into actionable insights that they can share with various stakeholders in their organization.

Read more about why you should learn data analytics.

What Can You Do with Data Analytics?

The field of data analytics has many real-world applications across industries and professions. At the core of the data analytics process is the goal of using data to make better decisions. Companies rely on the data's insights to make more informed business decisions, which can help their organization grow, increase revenue, or better serve employees and customers.

Data analytics can help with marketing campaigns by eliminating the bulk of the guesswork in planning, creating content, and developing products. It also provides an overview of customers, which can help organizations better meet their needs. By better understanding your audience and what they want, targeting them with more pointed marketing initiatives and campaigns is easier.

Another widespread use of data analytics is to improve customer service. When data is analyzed, it reveals important insights about customers, which makes it possible to offer them more personalized service. Data can provide information on how customers prefer to communicate, what interests they have, what concerns they hold, and what products they look at most often. In addition, having data stored in a central location allows an organization’s customer service team to be on the same page as their marketing and sales teams.

Another use of data analytics is to improve the efficiency of operations within an organization. Data can reveal weaknesses in operations, as well as opportunities to streamline various processes. This not only helps the business perform more efficiently but can save money over time. For example, if you have a clearer idea of what your target audience is looking for, you won’t need to waste time and resources designing ads or writing content that doesn’t directly target their interests. This leads to less wasted money, as well as better campaign results.

Common Professional Uses for Data Analytics

Because more data is being created than ever before, and because so many organizations realize its importance, the field of data analytics is one of the most popular professions currently available. Those with skills in analyzing data are valued in various industries because they can help organizations translate these numbers into actionable insights.

Data Scientists rely on elements of the analytics process, such as creating algorithms, performing statistical analysis, and running data tests to understand and use data to help an organization’s decision-making process. Machine Learning Engineers also rely on data analytics tools and skills as they design models, algorithms, frameworks, and systems to help machines independently carry out functions.

Those working as Business Intelligence Analysts also use data analytics to help improve how their organization operates. Their job often entails collecting, sorting, and analyzing internal and external data to spot patterns, trends, or issues that require attention. These data findings provide policymakers with insights that can help them devise strategies to improve the business's overall operations.

Data Architects work with data analytics when they create data management frameworks designed to help their organization translate business objectives into a system that can be used across an organization. Those who work as Marketing Analysts draw from their data analytics skills as they work to help their company perform market research, spot purchasing trends, and process customer surveys. Their strategies empower their company to connect with customers more effectively and better connect with existing customers.

Why Learn Data Analytics?

It’s an In-Demand Skill

Big data is everywhere. It’s in footage from security cameras, your online browsing patterns, social media posts, and health records. More companies are seeing the benefits of collecting these data to learn more about their employees or customers to target their needs better. This is why those working with data analytics are currently among the most sought-after employees. In fact, the data market is so large that it is estimated that it will be worth nearly $230 billion by 2025 and continue to grow exponentially. If you have a background in analyzing data, your skills would be an asset to any field that collects data. Enrolling in Noble Desktop's Data Analytics Certificate is a great way to prepare for a career working with data.

Data Analytics Provides a Comfortable Salary

Because working with data is an in-demand skill, those with a background in data analytics can expect to be paid well for their contributions to their organization. The base salary for Junior Data Analysts in America is approximately $56,000 and increases depending on experience. Data Analysts can expect to earn $75,000, and Senior Data Analysts typically make a yearly salary of $99,000, although these numbers depend on variables such as location, employer, and industry. More organizations are recognizing the value in data and are actively searching for employees who can transform these numbers into actionable insights.

You’ll Play a Role in Your Organization’s Decision-Making Process

One of the primary causes of dissatisfaction at work is when employees don’t feel that their contributions make a difference at their organization. Those working with data analytics play an integral role in their company’s decision-making process. The insights they find when analyzing data and the discussions they facilitate by presenting their findings clearly help their employer make important decisions about future strategies. Whereas some professions can leave you feeling like a cog within a large corporate wheel, Data Analysts play an essential role that their organization highly values.

You Can Choose From Many Possible Job Titles

Because data analytics is a broad field, various job titles in different fields are available for those with proper qualifications. Nearly every profession in every industry that collects data relies on those with data analytics training to help them make sense of these numbers. The following are just a few job titles for Data Analysts:

• Marketing Analyst
• Big Data Engineer
• Data Analytics Consultant
• Metrics and Analytics Specialist
• Operations Analyst
• Data Analyst
• Sales Analyst
• Financial Analyst

A great way to get started on your data analytics path is to enroll in a live online or in-person data analytics class.

How to Start Learning Data Analytics

One of the most popular and effective ways to learn data analytics is through in-person and live online data analytics classes. These learning options provide an environment where you connect with an expert instructor in real-time, who is there to field questions, offer guidance, and provide feedback. In-person study also provides a classroom with computers with the latest data analytics software and tools installed. Live online study has the added benefit of allowing learners to complete coursework from the comfort of their home or office space. If you want to search for learning options close to home, Noble’s Classes Near Me tool is a great resource to help you choose from different in-person and live online data analytics courses provided by reputable educators.

Suppose you aren’t fully ready to commit to a data analytics class that meets at regularly scheduled times. In that case, on-demand data analytics classes are available from Noble Desktop and other reputable educational providers. You can complete these classes at your own pace and from any location. Some of these resources are free, whereas others require a fee or a platform subscription for study.

Noble also has various free seminars to help anyone interested learn about big data and other data-related concepts. They offer content on topics related to data analytics, such as a free Data Science seminar and an Intro to SQL seminar. These resources provide beginner-friendly instruction that can help you get a feel for whether working with data is right for you.

Read the full guide on how to learn data analytics.

Learn Data Analytics with Hands-on Training at Noble Desktop

There’s never been a better time to study data analytics. If you’re interested in learning more about this popular field, Noble Desktop has you covered. Noble offers several data analytics classes for beginners and those with a background in data who want to master specific or advanced tools and skills.

Noble’s Data Analytics Certificate is a project-based course designed to teach students how to collect, wrangle, analyze, and visualize data. Participants complete several real-world projects using predictive and prescriptive analytics to prepare them for careers as Business Analysts or Data Analysts. This course provides all students with one-on-one mentoring, as well as the option of a free course retake to revisit the material.

In addition, Noble’s SQL Bootcamp is a great learning option for learners interested in studying SQL to help with their data journey. This 18-hour class teaches participants how to use PostgreSQL to find information in databases. Those who enroll will learn how to write SQL queries, aggregate data, join tables, and filter results.

For students who want to work with Tableau for data analytics and visualization, Noble’s Tableau Bootcamp is a solid choice. This class is taught by an expert instructor and is available both in-person in Manhattan and in the live online format for those who wish to study remotely. This course takes students on a learning journey, starting with the basics of data visualization. Those enrolled also work with Tableau Public and its various tools for analysis and visualization. By course completion, participants will be able to analyze, filter, structure, and visualize data and publish the results. All students have the option of a free course retake.

Key Insights

• Since more data is being created daily, learning data analytics is a versatile and valuable skill across industries and professions.
• Data Analysts play an integral role in their organization’s decision-making process, and because this is an in-demand profession, they are typically paid high salaries for their contributions.
• Nearly any profession that gathers data will need someone trained in analysis to help them make sense of it. Some of the most popular professions currently available for data professionals are Financial Analyst, Marketing Analyst, Big Data Engineer, and Operations Analyst.
• You can receive comprehensive training in data analytics by enrolling in a live online or in-person data analytics course with Noble Desktop.