🙌
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Get us in your inbox
Sign up to our newsletter for the latest and greatest from your city and beyond
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
The best things in life are free.
Sign up for our email to enjoy your city without spending a thing (as well as some options when you’re feeling flush).
Déjà vu! We already have this email. Try another?
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Love the mag?
Our newsletter hand-delivers the best bits to your inbox. Sign up to unlock our digital magazines and also receive the latest news, events, offers and partner promotions.
Déjà vu! We already have this email. Try another?
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
It's all about the data these days, and these classes and courses will give you all the knowledge you need
We live in a time where nearly everything is run on and relates back to data. From our latest binge session on Netflix to shopping transactions, data is generated and collected in an effort to power the algorithms that drive decision-making. Organizations across the globe use this data to understand consumer behavior and make informed decisions based on patterns found within these vast sets of information.
With this, data analytics has become one of the most in-demand skills in the workforce. In fact, the BLS anticipates data-related occupations will grow faster than the national average through 2031 and provide impressive salaries compared to other sectors. If you’re ready to boost your professional skills and shift into a high-paying career, consider these top data analytics bootcamps and certificate programs as a way to reach your professional goals.
Recommended: Data Analytics Certificate
Recommended: Best Excel classes near me
Recommended: Best coding classes near me
Recommended: Best Python classes near me
Been there, done that? Think again, my friend.
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
🙌
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Noble Desktop offers a certificate that’s ideal for students wanting to learn the fundamental skills needed to work with data. This is a career-focused program designed to provide students with analytics practices and the practical training needed to find work in the industry. The curriculum covers vital subjects like Excel and SQL to organize databases, as well as provides a deeper look into Python for automating data collection and building machine learning algorithms. The skills gained during this certificate course prepare participants for careers in the IT industry, along with roles in finance, healthcare, and education. Students will work through eight in-depth units of study during this program before receiving a NY State-Licensed Certificate to showcase their new skills.
Take your data skills to the next level with the Python for Data Science Immersive course from Practical Programming. This 30-hour program dives into the foundations of programming with Python, including objects, loops, and functions, as well as the object-oriented programming paradigm. Participants should complete the course feeling confident in their ability to create data visualizations with Matplotlib and work with libraries like Scikit-Learn. The class sizes remain small to make sure each participant receives personalized instruction and requires no coding prerequisites to attend. Students can take advantage of the school’s one-year free retake policy and the opportunity to learn from instructors with industry experience.
The Data Science Certificate is a course that’s available both in-person in NYC and live online for remote learners. Designed to prepare students for entry-level careers in data science and engineering, the curriculum works through programming fundamentals, complex queries, automating tasks, and creating visualizations. This course can be completed in person at the school’s NYC location or remotely in a live online format, as both options provide the same syllabus and objectives. Those who complete the program will receive an official certificate for their resume, an opportunity to retake the course for free within one year, and recordings to refresh on concepts for one month after the class.
This General Assembly bootcamp is a career-focused course teaching all of the major skills you need to become a data analytics professional. This includes how to use tools like Excel, SQL, and Tableau, how to write code in Python for databases and machine learning algorithms, and how to make quantitative data interpretations. This course is focused on preparing students for a career in data analytics, so the classes are designed to be applicable to almost any industry. This program is mentor-guided and held entirely in an online format, allowing learners from any location to take advantage of this training.
Fullstack Academy offers a Fullstack Data Analytics Bootcamp, another program that teaches the basics of data analytics through more advanced functions, providing students with certification exam preparation in Tableau and Amazon Web Services. There’s no prior experience needed to register for this bootcamp, though participants should be ready for a fast-paced class covering large amounts of material over the 243 course hours. Lessons are designed to prepare students to land some of the most in-demand tech jobs and give them a chance to learn from teachers who have real-world experience in the field.
This bootcamp course teaches the main data analytics tools, Excel, SQL, & Tableau, and gives students a chance to work on real-world projects. This is a fast-paced course that helps Excel beginners advance not only in this program but also in SQL, a basic programming language, and Tableau, a data visualization tool. The program has eight units covering two to three levels of the above programs and provides the hands-on training needed to utilize these tools in a professional context. After working through the curriculum, participants will be ready to tackle more advanced data analytics training and enter the field with confidence.
Jump into the world of data science and machine learning with this bootcamp from 4Geeks Academy. This course is designed to take you from a novice to an advanced practitioner in the fields of data science and machine learning. During the program, you’ll gain experience with Python, SQL, and machine learning frameworks like Scikit-learn and TensorFlow. The curriculum covers both theoretical concepts and practical applications, from building predictive models to developing artificial intelligence solutions. You’ll work with supervised and unsupervised learning algorithms and apply them to real-world data sets to master creating data-driven models that solve complex problems. This bootcamp is perfect for those who want to delve into machine learning or enhance their data science expertise.
This NYIM Training bootcamp is an 18-hour course that runs in New York City and is also live online for those who prefer to learn from home. This program is suitable for beginners to SQL (standard querying language), a programming language used to process large amounts of data and manage those databases. During this bootcamp, students gain hands-on experience with basic, intermediate, and advanced querying techniques to make sure each individual leaves with the skills to work with SQL. Overall, there is ample dedicated time to learning SQL Server and the SQL Server Management Studio app to explore the database and complete SQL queries.
With over 750 million monthly users, Excel remains a top choice for organizing and analyzing data. This spreadsheet is a common tool for storing data, and its basic data querying and visualization capabilities allow users, with some training, to enhance their analytic skills. In this course, students will explore how data is organized and stored in Excel, how to use features like data validation and VLOOKUP for querying, how to create charts and graphs from data, and how Excel can be integrated with other analytics tools to build more advanced frameworks. There are no prerequisites for this course, making it a suitable option for complete beginners.
This certification course is an all-encompassing program that prepares students for the Tableau Desktop Specialist exam. The curriculum starts with beginner functions before moving on to more advanced Tableau skills. Students will learn the interface and how to build charts, as well as higher-level techniques like mapping data and working on individual projects using their own data. Six hours of private training come with each registration, and students can take advantage of the interactive classroom by connecting with their peers and asking experienced instructors questions. Participants can complete the course by taking the official exam or receive one hour of additional training if they want to opt out of the exam.
Microsoft’s Power BI is the industry choice for data visualization and streamlining the process from data to insights. This intensive bootcamp covers the process of turning data into interactive visual dashboards and how to use these visualizations to connect multiple databases and acquire valuable insight. If you are working with big data, learning how to use data visualization tools like Power BI is incredibly helpful for daily functions that would eat up crucial time otherwise. Much of the topics covered in this bootcamp include learning to import data from different sources, the process of analyzing the data to create visualizations, and gaining insight into Power BI’s DAX language.
Noble Desktop’s Python for Machine Learning Bootcamp is a comprehensive 30-hour course that dives into the fundamentals of machine learning, including regression analysis and classification algorithms. This course requires participants to have some familiarity with Python and its data science libraries (NumPy and Pandas), which are taught in the school’s Python for Data Science Bootcamp. The program’s hands-on approach to projects and exercises is proven to increase retention, and supplemental materials are provided to students both during and after the course to ensure they’re comfortable with the content. There’s also a one-year free retake policy that allows students to retake their class free of charge if they feel they need additional practice or want to solidify what they’ve learned.
The Python Data Science & AI Machine Learning course is a great opportunity for high school students to gain a solid understanding of Python fundamentals and how it’s applied to both machine learning and data science. The first portion of the program has students working on learning the fundamentals of Python code before they move into more advanced tasks like data science using Pandas, Matplotlib, and Scikit-learn. There are 45 hours of instruction during the course, and graduates are awarded an official certificate of completion to highlight mastery of the curriculum.
Organizations looking to boost their employees’ analytics skills should consider corporate data analytics training. These courses, which can be completed onsite at your location or live online from any location, focus on building a deeper understanding of Excel, SQL, and Tableau, as well as Power BI, Python for data science and automation, and machine learning for even more advanced skills. Businesses have the option to invest in bulk vouchers for certain courses, allowing team members to participate in open-enrollment classes. To learn more, arrange a training session, or discuss developing a customized training program, please reach out to Noble Desktop directly.
Data analytics is a broad term engulfing different processes related to examining large sets of data to develop actionable insights. Essentially, it’s similar to sorting through a pile of information to find patterns, which, when analyzed, help businesses make decisions based on future predictions. It’s complex on the surface, but nearly every aspect of our lives intertwines with data analytics in some way. For example, think of all the recommendations you see each day on the apps you utilize, whether it’s a music streaming service like Spotify or a shopping platform like Amazon. These suggestions aren’t pulled from thin air; they’re generated through complex analytics algorithms that study your behaviors to guess what you might enjoy in the future. This process is not confined to just things like shopping, as it applies to countless industries, ranging from healthcare and finance to education and retail. These processes are quietly working behind the scenes to keep sectors operating and create personalized services.
Data analytics training can vary slightly between institutions, though this tends to be more with elements like teaching methods rather than the core curriculum itself. Most data analytics programs cover similar topics, such as data cleaning and visualization and industry-standard tools. However, what often sets schools apart is the quality and experience of the instructors, the balance between hands-on projects and lectures, and whether there are any extra support services offered.
Looking at the core of these programs, most data analytics training covers essential topics like statistical analysis and data visualization, both foundational skills for aspiring analysts. Additionally, some programs may introduce elements of data science, such as machine learning and predictive analytics, to provide a more comprehensive overview of how data can be used for advanced insights. The best way to prepare for an upcoming data analytics bootcamp is to review the syllabus and identify any areas where you may need additional practice. Familiarizing yourself with these concepts ahead of time can help you hit the ground running when the course begins and set personal learning goals based on the skills you want to develop most.
Whether or not a specific data analytics bootcamp program is expensive largely depends on an individual’s financial situation. This is a personal matter that varies between students, not only regarding the actual price tag but also the perceived value of what the bootcamp offers in return. Generally, data analytics bootcamps can range significantly, anywhere from $3,000 to almost $20,000, depending on the program’s specific factors like length and modality. However, when you look at the cost of traditional degree programs, which can sometimes total $20,000 per year, it’s clear that bootcamps offer a more cost-effective route for gaining relevant skills.
As stated above, the value of a bootcamp goes far beyond the price; It’s about what you learn and the skills you’re able to acquire. Compared to self-study and even a four-year degree, data analytics bootcamps focus on a hands-on learning environment. This approach gives students a chance to experience projects that mimic working with real-world data in a practical sense. Additionally, many schools provide access to support services, including job assistance and networking opportunities. This level of career support can significantly increase a program’s value, especially for those looking to switch careers or land their first role in data analytics.
It’s also common for bootcamps to offer financing options to help make education more accessible. These can include installment plans, financing through a third-party vendor, or even scholarships directly from the institution. It will be different for every learner, but overall, for those committed to building a career in data analytics, the combination of accelerated learning and career support makes the investment worthwhile.
While this is a question that requires personal reflection that will differ among individuals, investing in a data analytics bootcamp is generally ‘worth it’ for those looking to gain new skills or grow in their current position. This type of training goes beyond just gaining familiarity with basic concepts and gives students a chance to gain hands-on experience working with real-world data sets that mimic what they’ll experience in the workplace. Bootcamps, specifically, are a training method focusing on career skills and what’s needed to land an entry-level position in a given field. Data analytics bootcamps teach practical skills, such as SQL, Python, Excel, and tools like Tableau, all in high demand across many industries.
These data analytics tools are essential for any professional in the field. They each serve different purposes but are typically used in tandem to maintain an efficient workflow. Here’s a quick breakdown of these tools and their most common uses:
It’s also important to consider any added benefits or extra perks associated with the program. For example, some bootcamps and certificate courses have different payment options to help lessen the up-front costs. Some of the most common options include financing and installment plans, though some institutions may have their own scholarships. Some community organizations may also offer scholarships, such as nonprofits and veteran assistance programs.
The time it takes to complete a data analytics bootcamp can vary depending on the program format and whether you choose a full-time or part-time schedule. On average, most full-time bootcamps last anywhere from 8 to 12 weeks, with students dedicating upwards of 40 hours a week to coursework and projects. Full-time bootcamps are immersive and focus on building students’ skills to prepare them for entry-level roles in data analytics. For those who are balancing a job or preexisting commitments, part-time bootcamps are a flexible option. These programs typically have a longer time frame, extending over 20 weeks, but students have the ability to attend classes in the evenings or on weekends. These programs give busy students who are trying to balance school and work the ability to remain employed while studying.
However, having a packed schedule week after week may require more self-discipline to keep up with assignments. Some bootcamps offer self-paced options, meaning the length of the program is determined by the student’s schedule and how quickly they progress through the material. Self-paced courses can be appealing to those who want more flexibility but take longer to complete. This method also lacks the personalized attention found in bootcamp courses, leaving students on their own if they run into any questions.
Like any other educational path, bootcamps have their pros and cons as a data analytics training method. Understanding both the advantages and drawbacks can help you determine which form of training aligns with your objectives.
Some of the benefits of data analytics bootcamp training include:
However, there are some factors to keep in mind when sorting through available bootcamps:
Yes, most bootcamps, including those teaching data analytics, are generally geared toward beginners with minimal (or no) experience. These programs typically start with the subject basics and provide a solid foundation of important concepts before moving on to more advanced work. This approach is ideal for complete novices who need a structured way to learn the material. In a data analytics bootcamp, the focus is on practical learning. This means starting with tools like Excel, which some participants may already know how to use on a basic level and can then build on those skills. After this, lessons should progress to more complex content, like learning SQL and Python. What makes bootcamps a strong training option for beginners is that each class builds on skills developed in the last, meaning they’re structured to keep participants gaining experience and building confidence in data analytics practices.
It’s also helpful to keep in mind the level of support many bootcamps offer to their students. For example, some institutions have services like job assistance, mentoring, and tutoring available to help each participant reach their goals. It’s unrealistic to think beginners won’t struggle at some point in their training, but the instructors are usually industry professionals who understand what it’s like to be new in the field. Their insights are incredibly valuable to aspiring Data Analysts, and their guidance can help beginners stay on track with their learning. However, with those factors, bootcamps require significant commitment to be successful. The pace is fast, and beginners will need to stay focused and motivated to stay up to date with their assignments. If you’re ready to roll up your sleeves and dive into the work, a data analytics bootcamp is an excellent starting point for pursuing a new career.
As previously discussed, bootcamps are beginner-friendly and rarely require specific preparation to register for these programs. Some may have set prerequisites if it’s an intermediate or advanced level course, but most often, only basic computer proficiency is needed to get started learning tech skills.
However, being proactive and preparing for a bootcamp can truly set you up for success. With how fast-paced the curriculum can be, it’s worthwhile to familiarize yourself with some basics before you start. None of these are mandatory but can be game-changing for busy students. Here are a few tips to get you ready:
Looking at the bootcamp options available to you and comparing them to other training methods is crucial for selecting the best one for your learning journey. Some of the most common educational paths outside of bootcamps include traditional degrees, certifications, self-paced courses, and independent study, among others. Each option is unique and will appeal to students for different reasons, highlighting how important it is to research the alternatives.
Certificates and certifications may appear similar at first glance, but these two credentials have significant differences between them. Data analytics certificates are typically quicker programs to complete and focus on providing students with the specific skills needed to start a new career or advance in their current positions. Certificates have a condensed curriculum compared to longer training methods like a degree program, and they often come with a lower price tag. Another important factor about data analytics certificates is that they’re beginner-friendly, meaning you need no prior experience in the subject to take these types of courses.
Certifications, on the other hand, are different credentials that showcase a thorough understanding of the topic. They are usually awarded by professionally recognized platforms after the student completes a comprehensive exam. Certifications are highly regarded in data analytics and nearly all tech fields, as they are a trusted way to showcase mastery of a given area to potential employers. Both credentials can be added to a resume or professional platform like LinkedIn, but certificates tend to be a strong starting point for those just getting started and needing training before diving into something more advanced, like a certification course.
Been there, done that? Think again, my friend.
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
🙌
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Been there, done that? Think again, my friend.
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
🙌
Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Popular on Time Out
[category]
[title]
Discover Time Out original video
Â
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
🙌 Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
Get us in your inbox
By entering your email address you agree to our Terms of Use and Privacy Policy and consent to receive emails from Time Out about news, events, offers and partner promotions.
🙌 Awesome, you're subscribed!
Thanks for subscribing! Look out for your first newsletter in your inbox soon!
About us
Contact us
Time Out products