Why Learn Data?

Have you ever explored all of the things data can do?In today’s technology-driven world, nearly all of us use data daily. So, it is no surprise that professional data skills can benefit just about anyone, especially professionals such as Business Owners, Managers, Marketers, and others who track budgets, performance, and other key success metrics. A deeper study of data can launch a career as a Data Analyst or Data Scientist, both of which are lucrative positions with tremendous growth potential in the coming decade. Here, you’ll learn more about the careers that benefit from data and how it can enhance your professional life. Regardless of your goals, learning data is a valuable and impressive skill to add to your resume. 

What is Data?

Data refers to facts and statistics collected for reference or analysis. Data allows businesses to track finances, marketing campaigns, market share, efficiency, and more. Today, data management systems can sort complex data from numerous sources using artificial intelligence and machine learning, giving businesses unparalleled insights. Some data management systems can also make future projections based on existing data. These forecasts assist businesses in planning budgets, setting goals, determining deadlines, and more.

We all use data daily, but some professions specialize in gathering, analyzing, storing, and managing data. These careers include Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Analysts, Data Architects, Marketing Analysts, Business Systems Analysts, and more. Whether you wish to pursue one of these careers or simply want to understand the data systems and strategies that impact your business, online and in-person classes can teach you valuable skills. 

Read more about what data is and why you should learn it. 

What Can You Do with Data?

Data has nearly endless uses. Data measures the effectiveness of marketing campaigns, determines budgets, forecasts company growth, and highlights industry trends, trends within an organization, and more. Understanding data science and data analytics can help business owners better manage their organizations, help marketing teams become more efficient and effective, assist business leaders in determining goals, or help launch your career as a Data Analyst or Data Scientist. 

Data science jobs include Python Engineers, Data Journalists, Data Engineers, Business Analysts, and more. Data Scientists create machine learning models that help process raw data, giving a company better insights. Analysts interpret and track this data to continuously improve processes. Data helps organizations make the most of every minute and every dollar, which is one reason Data Scientists and Data Analysts are in such high demand.

Common Professional Uses for Data

Data is used by Marketers, Business Owners, and more, so learning essential data tools and skills can benefit anyone. Advanced data science and data analytics skills can launch your career as a Data Scientist or Data Analyst. 

What does a data science career entail? Data science job titles include Data Scientist, Machine Learning Engineer, and Data Engineer. A Data Scientist collects, organizes, and analyzes data to inform decision-making. This data provides crucial insights into the company’s historic, present, and future success by tracking budgets, projecting earnings, detecting trends, and more. Data Scientists earn anywhere from $120,000 to $140,000 on average. Machine Learning Engineers use computer programming and data science to develop systems that automatically learn and perform tasks through artificial intelligence. Machine Learning Engineers earn around $120,000 annually. Data Engineers format data infrastructures that Data Scientists use in their analysis. A Data Engineer earns an average of between $120,000 and $130,000 per year. 

A Data Analyst collects, processes, and analyzes data, then translates that knowledge into insights and actionable recommendations. Data Analysts can choose to work in almost any industry, including government, healthcare, finance, retail, and tech. Data Analysts in metropolitan areas earn around $100,000 annually.

Measure Individual, Team, and Company Success

Only a decade or two ago, measuring data for certain aspects of an organization might have proven difficult or impossible. Today, detailed data is easily accessible. Marketing Specialists, Managers, Business Owners, and other professionals can use data skills to measure efficiency, track budgets, detect patterns, highlight growth opportunities, project earnings, and more.

Marketing teams struggle to measure how many people see a company’s billboard and convert it to paying customers. The same applies to magazine ads, mailers, and other traditional marketing tactics. With digital marketing and technological advancements, data is now at our fingertips. This data allows marketing teams to measure how many views, clicks, and sales a digital marketing campaign produces. Automation makes such campaigns even more effective by automatically shifting budget dollars to the most effective campaigns. Marketing Analysts and other marketing professionals can track analytics with built-in analytics features on sites like Facebook and YouTube. They can also use Google Analytics to track web traffic, social media campaigns, app data, etc. Marketing teams can benefit from learning valuable data tools through bootcamps and live online classes. Noble Desktop offers a Google Analytics Bootcamp helpful to anyone who tracks social media, website, or app traffic. Digital Marketers can also upskill through Noble’s Digital Marketing Certificate program.

Managers use data to track team efficiency, improve workflows, stay on budget, and provide evidence of team success. Business Owners use data to understand customer behavior, the effectiveness of marketing efforts, company earnings, growth opportunities, industry trends, internal efficiency, options for improved engagement on websites, and more. Team and business leaders can benefit from courses like Noble Desktop’s Excel Bootcamp and corporate training options. They can also gain a solid foundation in data analytics through the beginner-friendly Data Analytics Foundations course.

A deeper dive into data can help to launch a career as a Data Analyst or a Data Scientist. Read on to learn more about learning data for these professions.

Launch a Data Analytics Career

Learning how to gather, organize, and interpret data can open the door to a career in data analytics. A Data Analyst tracks and interprets data to identify trends, make recommendations, and improve processes. Data Analysts may work as: 

• Marketing Analysts
• Financial Analysts
• Hospitality Analysts
• Business Analysts
• Research Analysts
• Database Developers
• Social Media Analysts
• Risk Analysts
• Healthcare Analysts
• Data Modelers
• Operations Analysts
• Database Administrators
• Logistics Analysts
• Weather Analysts

Analyzing data is critical for any organization, including startups, multinational corporations, governments, and nonprofits. Data Analysts have abundant choices regarding the industry they enter and the type of work they prefer. They also earn around $90,000 per year on average. But how does one become a Data Analyst?

Live online data analytics classes let you learn under the guidance of an expert instructor without needing to commute. Want to take a class with a New York City instructor from your home in Chicago? You can do that! Online access to data analytics training allows maximum flexibility. Certificate programs work best if you want to launch a new career from scratch. Noble Desktop offers a Data Analytics Certificate, which includes setup assistance, one-on-one mentoring, small class sizes, flexible payment options, and career preparation.

If you aren’t ready to commit to a certificate program yet, you can opt for an introductory class like Noble Desktop’s Data Analytics Foundations course. You can also take a class focusing on specific data skills and tools, such as Noble’s Google Analytics Bootcamp. Aspiring Data Analysts can also benefit from attending an SQL Bootcamp, Excel Bootcamp, or Python Bootcamp.

Launch a Data Science Career

Learning data skills and tools can also help you start a career as a Data Scientist. The U.S. Bureau of Labor Statistics found the average pay for Data Scientists to be around $100,000 per year. The Bureau also projected the job growth for Data Scientists will reach 36% through 2031. To become a Data Scientist, you must have an extensive understanding of mathematics, the scientific process, and computer science. 

What exactly does a Data Scientist do? Data Scientists identify problems and build solutions relating to data collection and management. They collect unstructured data from multiple sources, clean and validate it, identify trends and opportunities based on those trends, create data visualizations to communicate their findings to stakeholders, and automate data management processes through artificial intelligence and machine learning.

If you are new to data science, you can gain a high-level overview with Noble Desktop’s free Get Started in Data Science course. This course covers why Python is such a critical programming language for data science, what data science is and how it impacts organizations, what skills data scientists need, and how these skills are applied in real-world situations.

Having a current STEM job, such as being a Software Engineer or Python Programmer, can make it easier to transition into data science as a profession. Data Science Certificate courses are helpful for upskilling and learning new skills. Noble Desktop’s Data Science Certificate covers programming fundamentals, machine learning models, and how to create dashboards and visualizations. This certificate program includes hands-on projects, job search assistance, resume assistance, portfolio preparation, small class sizes, one-on-one mentoring, and flexible financing options. 

How to Start Learning Data

Live classes include in-person and live online courses. Both types of training are led by an expert instructor, which offers several benefits. Instructor-led courses allow you to have your questions answered on the spot and allow for real-time feedback. In-person classes allow you to network with local professionals, while live online classes offer the convenience of remote learning. You can explore in-person and live online data classes to find the course that works best for you.

On-demand/self-paced classes include pre-recorded video courses you can watch anytime. Some video courses include supplemental material such as documentation and assignments. You can use free YouTube video courses to gain a high-level overview of a topic, such as learning data. Learning platforms like Udemy, Coursera, and LinkedIn Learning offer on-demand classes through paid subscriptions. The primary advantage of asynchronous classes is that you can learn on your schedule. You choose the time, place, and pace at which you learn. The main disadvantage of on-demand classes is the lack of instructor access. You may have an instructor you can email or meet with at specified times, but both options require waiting several hours or days for a response. For this reason, many people use on-demand courses as a starting point to better understand a topic, then follow up with an instructor-led course. Explore on-demand data classes to find free and paid training options.

Noble Desktop offers free resources to help you advance your data skills. Noble’s Data Learning Hub includes articles, tutorials, and other resources all in one place. You can gain an overview of data science with the free video seminar Get Started in Data Science and watch other free videos through the Python, Data Science, & SQL YouTube playlist.

Noble also has Learning Hubs for specific data tools and skills, including Tableau, SQL, Excel, and Python. 

You can research and compare multiple in-person and online data class options to find the best training options with Noble Desktop’s Classes Near Me tool.

Read the full guide on how to learn data.

Learn Data with Hands-on Training at Noble Desktop

Noble Desktop offers hands-on training in data science and data analytics. These courses are led by expert instructors and include hands-on projects, small class sizes, and free retake options. Noble offers a Data Analytics Certificate and Data Science Certificate. Both certificate programs include one-on-one mentoring, setup assistance, flexible payment options, and career preparation. 

You can also focus on learning specific data science or analytics skills through classes and bootcamps. Learn how to write SQL queries, join tables, aggregate data, and filter results with SQL Bootcamp. The Tableau for Data Visualization course shows you how to convert raw data into interactive visualizations. 

You can explore multiple data analytics and data science training options here.

Key Insights

• Data reveals the health of an organization, trends within it, opportunities for improvement, and growth potential, and helps to track campaigns, budgets, and more.
• Learning data skills can benefit individuals, teams, and entire organizations.
• Tools that benefit almost any professional include Google Analytics and Microsoft Excel.
• In particular, marketing teams and business owners can benefit from data training.
• A deeper dive into data can help you launch a career in data science or data analytics.
• Data Analysts research analytics to determine efficiency and effectiveness, identify trends, and make informed recommendations to stakeholders.
• Data Analysts work in many industries, including finance, healthcare, government, business, marketing, and technology.
• Data Scientists collect, structure, and manage data, draw conclusions, identify opportunities, and create visualizations to present to stakeholders. They also automate these processes where possible through artificial intelligence and machine learning.
• You can receive comprehensive data training through an in-person or live online course with Noble Desktop.