Data enables firms to discover fresh and actionable insights that can assist managers in making better decisions. According to one study, non-technical managers can increase their compensation by an average of 29% by learning data analysis skills. In addition, data analytics bootcamp alumni earn an average income rise of $15,857 when they land their first analyst position.

With so many competitive bootcamps, courses, and certifications on the market, it might be tough to know where to begin your search. We’ve curated this list of data analytics courses to give you a clear idea of the top options now accessible and the greatest characteristics to look for.

Springboard: Data Analytics Career Track

Springboard courses focus on providing beginner-level students with the support they need to learn the hands-on skills needed to thrive in the tech industry. By providing each student with an industry expert mentor and a career coach, the career track courses are able to prepare students for the practicalities of their new career as well as provide theoretical education. 

In the Data Analytics Career Track, students will learn how to practice structured thinking to explore business problems, then analyze and visualize the data with SQL databases and the Python programming language. They will also be coached in best practices for communicating their findings back to the stakeholders and managers who will use them to inform their business decisions. 

The course offers a flexible schedule to accommodate part-time workers and students and is fully online. 

This course is aimed at tech professionals who want to expand their skill set or enter a new area of the industry. You don’t need any prior knowledge of data analytics to apply, but two years of professional experience in a role using office, design, or programming tools. 

Read Also: How to Build a Data Analytics Program

The average student puts in an average of 15-20 hours of study per week, but the flexible schedule can allow for fewer hours a week for students with less free time.

The course includes over 400 hours of content, which can be completed in around six months for students who study 15-20 hours per week. However, it is possible to progress through the course at a slower pace.

Google Data Analytics Professional Certificate

Google provides a number of courses on various topics and technical skills, with a total of 222 courses listed on Coursera. Their data analytics course is aimed at beginner-level students with no prior experience in data analytics or related tech fields. It is split into eight modules, covering how data is used, prepared, cleaned, analyzed, and presented as actionable insights to aid in business decisions. 

Rather than Python, this course teaches the open-source programming language R. The last module of the course covers case studies, portfolios, and tips on how to navigate the data analyst job market. There’s also an option case study for students to complete for their own portfolio. This is a self-study course that is taken completely online and according to each student’s schedule, so it can be completed while working. 

This course is affordable and flexible and requires no prior experience, knowledge, or qualifications. For students who are comfortable studying alone and without a live instructor or 1:1 mentoring, this course comes highly recommended. 

When studying at the recommended rate of 10 hours per week, this course can generally be completed in six months. However, deadlines and schedules are completely flexible, so even full-time workers could take this course by slowing the pace to a comfortable amount. 

CareerFoundry Data Analytics Program

Career Foundry’s Data Analytics Program aims to take students with no experience in data analytics and teach them all the job-ready skills they need to land an analyst role after graduation. Enrolling in the course provides students with a 1:1 mentor and access to expert career coaching to help them get real-life insight into the life of a data analyst, and plan their own career goals. 

The course is fully flexible and can be taken full-time or part-time, with a third flexible option to switch between the two as needed. The curriculum focuses on real-world projects that students can use to develop their problem-solving skills and display them in their professional portfolios after graduation. Examples of portfolios created by graduates of the program are available to view on the course website, which is a great way to get a good picture of what you’ll be able to do by the end of the course. 

With the flexible scheduling, this course is well-suited for anyone that can set aside at least 15-20 hours per week to study. 

Full-time students should complete the course in around five months, and part-time students up to eight months. The course includes around 420 hours of content altogether. 

BrainStation Data Analytics Certificate

BrainStation courses are delivered in a state-of-the-art online learning environment developed especially for its courses. Live classes are taught by expert tutors currently active in the industry, and students will collaborate with each other on real-world projects. By focusing on hands-on skills and projects, students can learn the programming skills they need for the analysis process while also building a portfolio to show prospective employers after graduation. 

There are no prerequisites for this data analytics course, though a working knowledge of Microsoft Excel is strongly encouraged, as that is one of the main tools students will use alongside Tableau. 

As classes are delivered in a live format, students do need to commit to a set schedule either on weekday evenings or weekends. So it’s great for those who need flexible scheduling.

The course takes 5-10 weeks to complete depending on whether you take evening or weekend classes.

Dataquest: Data Analyst in R

Dataquest’s data analytics career path focuses specifically on analyzing data with the R programming language. The course gives students foundational knowledge in R before starting on data cleaning and visualization using R and ending with modules on statistical analysis and machine learning. 

With 19 modules ending in 19 projects, students can build a substantial professional portfolio as they earn this data analytics certification. The entire course is online and completely self-paced, so students can learn according to their schedules without having to quit their job.

The course is aimed at beginners, and anyone interested in data analytics or the R programming language. The self-paced nature of this online closure makes it accessible to all types of learners, though because payment is in the form of a subscription, the course will cost more for slower-paced learners. 

The average completion time for the course is five months at 10 hours per week. 

A data analytics course may guide you through your learning path and offer you with the fundamental core knowledge in a variety of basic to advanced areas, but it’s vital to remember that more study and experience are always advantageous in the job market. Using the skills you learned throughout your bootcamp to construct a portfolio of data analytics projects or find open-source projects to contribute to will help you stand out while looking for your next job.