Discover the ins and outs of a career in data analytics, from the daily tasks of a data analyst to the expanding global market of big data analytics projected to reach $105 billion by 2027. Learn about how data analytics is becoming more complex with the integration of machine learning and AI, and how this affects the industry.

Key Insights

  • Data analytics is a process of analyzing raw data to extract trends and insights which are used for problem-solving, decision-making, and predictions guiding a company's next steps.
  • Data analysts are playing an increasingly important role as the global big data analytics market is projected to reach $105 billion by 2027.
  • Data analysts are involved on a daily basis in a variety of tasks including data gathering, organizing, analyzing, and sharing findings.
  • A data analyst's role is not isolated. They often collaborate with various departments within an organization. Therefore, good communication skills are essential.
  • Despite the automation and streamlining of tasks provided by machine learning and AI, data analysts are required to keep up with changes in the field of data analytics, sometimes requiring further coursework or attendance at conferences.
  • Noble Desktop offers various data analytics classes in formats such as Tableau, Python, Excel, and SQL, with live online courses and bootcamps also offered on topics like FinTech, Excel for Business, and Microsoft Power BI.

What is Data Analytics?

Data analytics is the set of techniques used to analyze raw data (unprocessed data) in order to extract relevant information, trends, and insights. This process includes collecting data, organizing it, and storing it, then performing statistical analysis on the data. Once the information is collected, conclusions can be drawn from it, which are then used for problem-solving, business processing, decision-making, and predictions that can inform what a company’s next steps should be.

Data Analystsare currently in high demand as companies expand their analytic capabilities to keep up with the ever-growing stream of data that must be processed and analyzed. In 2018, the Global Big Data Analytics Market was estimated to be worth $37 billion. This number is projected to reach$105 billionby 2027. Cloud computing, along with mobile data traffic and AI technologies, is part of a rapid expansion not only of the volume of data that has to be stored and processed but also its complexity. Data Analysts are playing a more important role than ever with big data, and likely will continue to do so in the coming years.

Daily Tasks of Data Analysts

Data Analysts are relied on in any field that uses data, such as fast-food chains, retail stores, and healthcare providers. No matter the industry, most Data Analysts are tasked with finding insights in data that can be used to learn more about the needs of the end user or customer. Although the daily tasks of a Data Analyst depend on the kind of data they are handling, as well as the project at hand, nearly all Data Analysts are involved with data gathering, organizing, and analyzing.

It’s important to note that there isn’t a “typical” day for most Data Analysts. Instead, those who work in this profession can expect to complete a variety of tasks. This is why it’s imperative for Data Analysts to be flexible and adaptable to change. Although it’s expected that a day-in-the-life of a Data Analyst will be full of flux, there are certain elements of their workday that are generally the same across industries and jobs: working with data and sharing their findings with others.

Here are a few of the most common, and universal, tasks a Data Analyst will execute on a daily basis:

Across industries, the job of a Data Analyst is growing more complex, as new modeling and prescriptive analytic techniques are becoming mainstream for analysis. The integration ofmachine learningand AI provides Data Analysts with helpful ways to automate and streamline tasks, but also means that those working with big data must wear many hats to provide their company with the most meaningful insights from the data.

Hands-On Data Analytics Classes

The best way to learn about the current best practices, trends, and industry-standard software and tools in data analytics is to consider enrolling in one of Noble Desktop’sdata analytics classes. Courses are offered in New York City, as well as in the live online format in topics like Tableau, Python, Excel, and SQL.

In addition, more than 170live online data analytics coursesare also available from top providers. Topics offered include FinTech, Excel for Business, and Microsoft Power BI, among others. Courses range from three hours to nine months and cost from $229 to $60,229.

Those who wish to study in an intensive educational environment may also consider enrolling in adata analytics or data science bootcamp. These rigorous courses are taught by industry experts and provide timely, small-class instruction. Over 110 bootcamp options are available for beginners, intermediate, and advanced students looking to master skills and topics like data analytics, data visualization, data science, and Python, among others.

Are you searching for a data analytics class near you? If so, 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 nine months and cost $119-$60,229.