Data Analytics Training Cost

Are you looking to learn data analytics? If so, many of the tools Data Analysts regularly use, such as Tableau Public, Python, and SQL Server 2019 Developer, are each available for free. Microsoft Excel, another standard tool for Data Analysts, is quite affordable, with price plans starting at $6 a month for each user. Beyond this, you’ll want to consider the cost of data analytics training. The cost associated with learning data analytics depends on the type of instruction you’re seeking and the provider. Prices range from free online videos to $25K or more for certificate study. Read on to find out how much you can expect to spend on learning data analytics.

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.

In-Depth Review of the Training Cost

Cost is an important consideration when deciding which learning path to pursue for studying data analytics. The most expensive training option is to study data analytics at a four-year college or university. Those who learn data science or analytics in this environment typically spend tens of thousands of dollars a year on coursework, including courses devoted to data analysis and other requirements dictated by the school. While this learning option is suitable for some students, cost and time commitment can be deterrents for other learners.

For those looking for rigorous data analytics training but don’t want to pursue a bachelor’s degree in data analytics or data science, in-person data analytics classes are an excellent alternative. They provide students with access to instructors who are ready to answer questions as they arise and classmates on the same learning path. In addition, in-person study has the added perk of allowing students to use computers already loaded with the most up-to-date software and data analytic tools.

Students can elect to study data analytics in an in-person bootcamp, which typically spans several weeks or months and costs between $500 and $15,000. In addition, certificate study is also available for those who want to become Data Analysts or advance in their current data analytics career. Certificate study generally costs between $5,000 and $28,000, depending on the length of study and the program. In addition, in-person classes in data analytics are also offered by many educational providers. These courses are often much shorter, spanning just several hours or weeks, and cost several hundred dollars.

Live online study is another great option for those interested in learning data analytics. Similar to in-person study, bootcamps and certificates are available live online, as are classes focused entirely on data analytics. The live online environment allows learners to connect with instructors in real-time so they can have their questions answered as they arise. In addition, because you can complete coursework from your home or office, there are no additional costs associated with commuting or parking.

Asynchronous data analytics classes are also available for those interested in balancing data analytics study around work or family commitments. These courses often involve pre-recorded video content and tutorials and usually cost much less than certificates or bootcamps. Some cost several hundred dollars, whereas others are free. Unlike in-person or live online study, learners do not have access to an instructor for support, meaning they will need to find answers to their questions independently. While self-paced data analytics courses are a good starting point for beginners curious about learning more about this field, most people need paid training to dive into data analytics and retain the material they learn.

Free Introductory Data Analytics Course Online

Not ready to dive into an entire course? Are you instead looking for an overview of data analytics? If so, then you can start learning data analytics for free online. In Noble Desktop’s free introductory data science webinar, you’ll learn how Python can be used when working with data. Those enrolled will have an overview of the field of data science and will become familiar with the tools Data Scientists use in the real world to analyze datasets.

In addition, other top providers also offer classes in data analytics. Udemy currently has free tutorials and classes in data analytics available on topics like Intro to Data Analysis for Government, Learn Data Analysis Using Pandas and Python, and Introduction to Data Analysis: From Zero to Hero. Additionally, Coursera provides several free classes in the field of data science. They offer classes like Introduction to Embedded Machine Learning, Practical Time Series Analysis, and Foundations in Data Science: K Means Clustering in Data Science.

Read more about free data analytics videos and online tutorials.

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.