Your Guide to Online Data Analytics Bootcamps in 2022

 In today’s tech-driven society, data touches almost every aspect of our lives.

The field of data analytics combines information technology and business management to help companies manage data, gain business insights from it, and develop opportunities for expansion. 

Read on to learn more about job market predictions and skill requirements, as well as our top picks for the best online bootcamps and how to choose one that best fits your needs.

What Are Data Analytics Bootcamps Online? 

Data analytics bootcamps offer short, knowledge-intensive programs to teach students professional skills. The curriculum, layout, and duration of each bootcamp will vary based on the course in which you are enrolled. Some bootcamps may focus on the basics of working with big data, while others dive deep into specific subjects—such as visualization and statistics. You should attend an online bootcamp that aligns with your interests and career goals.

Data Analytics vs. Data Science Bootcamps

While many people use the two terms interchangeably, data analytics and data science have unique qualities, with the main difference being their scope. Bootcamps focused on these two disciplines have substantially different subject matter. 

Data Analytics Bootcamps

Data analytics focuses on processing and implementing statistical analysis with ongoing sets of data. Bootcamps in this area study the creation of methods to capture, manipulate and sort data to uncover insights for problems. They also establish ways to present this data to businesses. Above all, data analytics is based on generating results that can lead to immediate solutions.

Popular Data Analytics Tools

The online software used at a data analytics bootcamp often varies from what is taught at a coding program. Here are some of the most popular tools used in the profession, along with their purpose.
  • R (programming language) is the most common analytics tool used in the industry. It is open-source software that provides statistics and data modeling. It can be applied to examine data and create software or other applications that can carry out statistical analysis. R also supports computer platforms like macOS, Windows, and viz -UNIX. 
  • Microsoft Excel is another universal program used by many industries. It enables a user to quickly summarize data by creating pivot tables from a range of rows and columns. Before learning about advanced analytics software, it’s recommended that one master the ins and outs of Excel to develop a broader understanding of data analytics. 
  • SAS (statistical analytics software) is a tool made for statistics, business intelligence (BI), and data management. It helps organizations in all focus areas make better business decisions. Users can access it through GUI (graphical user interface) and the SAS programming language, which allows one to retrieve, report and analyze big data. 
  • SQL is an acronym for Structured Query Language. It was designed to store, manipulate and collect data that is kept in a relational database. Industries rely on SQL to pull out data for data analytics and reporting. 
  • Tableau is a cloud-based data visualization tool used in the business intelligence field. It simplifies raw data into easy-to-use charts, dashboards and worksheets. These formats can be shared with anyone, allowing it to run seamlessly across all systems. 
  • Apache Spark is a unified data processing system made for big data operations. In addition to the Spark core processing engine, there are libraries for SQL, machine learning, graph computation, and other applications that can be used collectively. App developers and data analysts include Spark in their programs to query, analyze and transform data at the scope.

How to Pick the Best Data Analytics Bootcamps Online

Trying to find an online bootcamp that fits your needs can be overwhelming. Although there is no perfect formula for choosing the right program, you can take a few steps to make things easier.

Step 1: Rank and Identify Your Priorities
By outlining your priorities and evaluating each program, you can figure out which one works for you. Take some time to weigh the pros and cons of all your ranked choices. It’s important to carefully consider your needs and goals when thinking about where you’ll spend the next few weeks or more. 

Step 2: Develop a Shortlist of Your Top Choices
Creating a robust shortlist is a key step to narrowing your options. Compare class sizes, program highlights, costs, and selectivity.

Step 3: Investigate Career Outcomes 
One reason to attend an online bootcamp is to set yourself up for a job. Students should check to see if mentorships, interview coaching, and resume workshops are offered outside the classroom to ensure the bootcamp provides the help they need. 


Data analytics is a highly rewarding career choice and there are many different pathways into the field. We hope this article has helped shed some light on the many learning options available to you. If you’d like to discuss your future in data with a real person, schedule a call with Syntax Technologies.

Our data analytics boot camps provide students with the remarkable opportunity to evolve as experts in the field and consequently, enter one of the most sought-after domains of the tech industry.



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