2023 Best Data Analytics Bootcamps

While both jobs use data to answer questions, there are a few key differences between data analytics and data science. Data analytics focuses on using existing information to answer targeted questions and helps companies make informed decisions. It requires statistical analysis and tools such as Excel, SQL, Python, and R. Data science looks at the big picture by using algorithms, machine learning, and predictive modeling and involves asking questions based on data to provide useful insights and overall trends. Data science usually happens at the macro level and involves thinking of ways to better review and utilize information. Data analysis happens at the micro level, and involves using existing information to solve problems, answer questions, or make decisions. Check out our list of the best data science bootcamps for more information on data science.

Today, data professionals are needed in most sectors, and jobs can vary depending on the industry. What type of job you can get after a data analytics bootcamp depends on your personal interests, previous work experience, and level of education.

Data analytics training is required for a job as a data scientist, financial analyst, market research analyst, statistician, statistical assistant, or clinical data manager. Many data analytics bootcamp graduates start jobs as junior data analysts for companies in technology, business, healthcare, marketing, and finance. Those who have a college degree or previous experience in a certain area may get more senior positions. Some people use their previous work experience in fields such as healthcare, marketing, or customer service to start specialized careers working with data in their field.

While there's limited data on specific jobs within data analytics, information from the Bureau of Labor Statistics shows jobs working with data tend to have a strong payoff. On the high end, data scientists earn a median of over $100,000 per year, with financial analysts falling close behind at $95,570 per year. Lower-paid positions include market research analysts, who earned a median of $63,920 in 2021, and statistical assistants, who earned a median of $48,160. It's important to note that those with college degrees typically earn a higher salary, and pay will vary depending on where you live.

Students interested in a bootcamp that will help them land a high-paying job might also look at coding bootcamps, which are offered online and in person in major cities all over the world. Coding bootcamps prepare students for jobs in software development and quality assurance, which are also in high demand and tend to earn high salaries.

Whether or not a data analytics bootcamp is worth it depends on your personal and professional goals. Many people choose bootcamps because they are faster and often more affordable than earning a college degree and focus on in-demand skills without requiring unrelated classes. Most bootcamps also provide job support and help students find positions within the industry, making the investment worthwhile for many. 

Data analytics bootcamps are a good option for those looking to transition to a new field or position without pursuing a full degree, but they are still a significant financial and time commitment. Students should weigh the potential benefits of taking a data analytics bootcamp and consider their personal and professional goals to decide if it will be worth it for them. Using student reviews can also help you choose which one you think you'll get the most out of. Students can also apply for bootcamp scholarships, find bootcamps that offer a job guarantee, enroll in a program that accepts the GI Bill®, or use free bootcamps to help lower the cost of their program.