21 Best Data Analytics Bootcamps | Beginners & Advanced

Data analytics is one of the hottest fields in tech, and there’s a huge demand for skilled data analysts.

But how do you get started?

One of the best ways is to enroll in a data analytics bootcamp. Bootcamps offer a comprehensive and intensive education in data analytics, and they can help you get the skills you need to land a job in the field.

But with so many bootcamps, how do you know which is right for you?

That’s where this article comes in.

This article looks at the 21 best data analytics bootcamps in 2024. We’ll cover bootcamps for beginners and advanced learners and discuss the factors you should consider when choosing a bootcamp.

So whether you’re just starting in data analytics or looking to advance your career, read on to learn more about the best data analytics bootcamps in 2024!

What is Data Analytics?

Data analytics is collecting, cleaning, analyzing, and interpreting data to gain insights that can be used to make better decisions.

Data analysts use various tools and techniques to extract meaning from data, including statistics, machine learning, and artificial intelligence.

It is used in various industries, including healthcare, finance, retail, and manufacturing. It can improve efficiency, increase profits, and make better customer decisions.

There are many different types of data analytics, including:

Descriptive analytics

This type of analytics describes what has happened in the past. Descriptive analytics can track trends, identify patterns, and answer questions about what happened.

Diagnostic analytics

This type of analytics is used to understand why something happened. Diagnostic analytics can identify the root causes of problems and improve processes.

Predictive analytics

This type of analytics is used to predict what will happen. Predictive analytics can forecast demand, identify risks, and make better decisions.

Prescriptive analytics

This type of analytics recommends what should be done. Prescriptive analytics can be used to optimize processes, allocate resources, and make better decisions.

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What are Data Analytics Bootcamps?

Data analytics bootcamps are intensive, short-term programs that teach students the skills they need to become data analysts. 

Bootcamps typically last 3-6 months and cover many topics, including data cleaning, data visualization, machine learning, and statistical analysis.

Bootcamps are a great way to learn the skills you need to break into the data analytics field. They are also a good option for people who want to change careers or upskill their existing skills.

What Will I Learn in a Data Analytics Bootcamp?

The specific skills you will learn in a data analytics bootcamp will vary depending on the bootcamp, but some common topics include:

  • Data cleaning: This involves preparing data for analysis by removing errors, inconsistencies, and missing values.
  • Data visualization: This involves creating charts, graphs, and other visuals to communicate data insights.
  • Machine learning: This involves using algorithms to learn from data and make predictions.
  • Statistical analysis: This involves using statistical methods to analyze data and draw inferences.
  • Databases: This involves working with databases to store and retrieve data.
  • Programming languages: This involves learning programming languages such as Python, R, or SQL.

What are the Different Types of Data Analytics Bootcamps?

Many different types of data analytics bootcamps are available, so it is important to research and choose a bootcamp that is right for you. Here are some of the different types of data analytics bootcamps:

Full-time bootcamps

These bootcamps typically last 3-6 months and are designed to give students the skills they need to become data analysts. Full-time bootcamps are a good option for people looking to make a career change or want to learn the skills they need quickly.

Part-time bootcamps

These bootcamps typically last for 6-12 months and are designed to be more flexible than full-time bootcamps. Part-time bootcamps are a good option for people with other commitments, such as a full-time job or family responsibilities.

Online bootcamps

These bootcamps allow students to learn from anywhere worldwide. Online bootcamps are a good option for people who want to learn at their own pace or cannot attend a traditional bootcamp.

Hybrid bootcamps

These bootcamps combine online and in-person learning. Hybrid bootcamps are a good option for people who want an online bootcamp’s flexibility with in-person community support.

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Best Data Analytics Bootcamps in 2024

Now let us discuss the 21 best Data Analytics bootcamps for beginners and advanced learners.

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For Beginners

Here are the 11 best data analytics bootcamps for beginners:

1. Dataquest 

This online bootcamp offers data analytics bootcamps for beginners such as Data Analysts in Python career track. The program is self-paced and subscription-based and includes interactive tutorials, hands-on projects, and career coaching so that you can learn at your own pace and on your schedule.

Mode of study: Online

Duration: Self-paced

Price: $29 – $49 per month

Pros
  • Well-designed platform
  • Project-based learning
  • Up-to-date content
  • Expert instructors
Cons
  • Limited course selection
  • No certification
  • Can be expensive

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2. Udacity 

This offers a Data Analyst Nanodegree program that covers the basics of data analysis and more advanced topics such as machine learning and natural language processing.

The bootcamp is designed to teach you the essential skills for data analysis.

Mode of study: Online

Duration: Self-paced

Price: $399 per month

Pros
  • Well-respected platform
  • Project-based learning
  • Up-to-date content
  • Industry partnerships
  • Career services
Cons
  • Can be expensive
  • Not accredited
  • Can be challenging

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3. Codecademy 

Codecademy offers a few different data analytics bootcamps for beginners, including:

  • Data Analyst: Analytics Specialist: This bootcamp teaches you the essential skills for data analysis, including data wrangling, data visualization, statistical analysis, and machine learning.
  • Data Analyst: Inference Specialist: This bootcamp focuses on data analysis to solve business problems. It covers A/B testing, root-cause analysis, and experimental design.
  • Business Intelligence Data Analyst: This bootcamp teaches you how to use data to make business decisions. It covers topics such as data mining, predictive analytics, and dashboarding.

Mode of study: Online

Duration: Self-paced

Price: $0 – $149.99 per year

Pros
  • Well-designed platform
  • Project-based learning
  • Up-to-date content
  • Expert instructors
  • Free option
Cons
  • Limited course selection
  • No certification
  • Can be difficult

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4. Galvanize 

Galvanize offers three data analytics Bootcamps which are:

  • Data Analytics Immersive: This full-time bootcamp is designed to teach you the essential skills for data analysis, including data wrangling, data visualization, statistical analysis, and machine learning. It is 13 weeks long and costs $17,980
  • Data Analytics Flex: This part-time bootcamp is designed to teach you the same skills as the Data Analytics Immersive bootcamp, but it is over 30 weeks. It costs $17,980.
  • Data Analytics Prep: This bootcamp is designed to help you prepare for Galvanize’s data analytics bootcamps. It is ten weeks long and costs $4,995.

Mode of study: In person, Online

Duration: 10 to over 30 weeks, depending on the chosen course.

Price: $4,995 – $17.980 per year, depending on the course chosen.

Pros
  • Rigorous curriculum
  • Industry-leading instructors
  • Career support
Cons
  • It is expensive
  • Requires time commitment
  • Competition from other graduates

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5. Thinkful 

Thinkful offers three data analytics Bootcamps for beginners, which include:

  • Data Analytics Immersion: This full-time bootcamp is designed to teach you the essential skills for data analysis, including data wrangling, data visualization, statistical analysis, and machine learning. It is 12 weeks long and costs \$13,475.
  • Data Analytics Part-Time: This part-time bootcamp is designed to teach you the same skills as the Data Analytics Immersion bootcamp, spread out over 24 weeks. It costs \$9,500.
  • Data Analytics Flex: This self-paced bootcamp is designed to teach you the essential skills for data analysis at your own pace. It is six months long and costs \$7,995.

Mode of study: In person, Online

Duration: 12 weeks to 6 months part-time, full-time, depending on the course chosen.

Price: $7,995 to $13,475, depending on the course chosen.

Pros
  • Comprehensive Curriculum
  • Good mentorship
  • Offer Job assistance
  • Job guarantee
  • Flexible programs
Cons
  • It is expensive
  • Require much time commitment
  • Require some prior knowledge of math and programming 
  • Not accredited

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6. General Assembly 

General Assembly offers three data analytics Bootcamps for beginners which include:

  • Data Analytics Immersive: This full-time bootcamp is designed to teach you the essential skills for data analysis, including data wrangling, data visualization, statistical analysis, and machine learning. It is 12 weeks long and costs \$12,950.
  • Data Analytics Flex: This part-time bootcamp is designed to teach you the same skills as the Data Analytics Immersive bootcamp but is spread over 24 weeks. It costs \$11,950.
  • Data Analytics Bootcamp Workshop: This intensive bootcamp will run through the analytical workflow — from collecting, cleaning, analyzing, and presenting insights from small and big data sets. It is one week long and costs \$5,950.

Mode of study: Online or on campus (USA, Europe, Asia, and Australia)

Duration: 1 week to 24 weeks, depending on the course chosen.

Price: $5,950 to $12,950, depending on the course chosen.

Pros
  • High-quality instruction
  • Hands-on experience
  • Career support
  • Network opportunities
Cons
  • It is expensive
  • Require much time commitment
  • Competition from other graduates

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7. Springboard 

Springboard offers a Data Analytics Career Track that is designed for beginners. The self-paced program can be completed in as little as six months. It includes live online instruction and one-on-one mentorship. The program also includes 29 mini-projects and two capstone projects, which allow students to apply their skills to real-world problems. 

Mode of study: Online

Duration: 6 months (15-20 hours per week)

Price: $10,140

Pros
  • High-quality curriculum
  • Personalized mentorship
  • Job guarantee
  • Flexible schedule
  • Affordable
Cons
  • Require much time commitment
  • Require some basic knowledge of math and statistics
  • The job guarantee is only available to students who are located in the United States or Canada

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8. Datacamp 

Datacamp offers the following data analytics courses:

  • Data Analyst Career Track: This is a comprehensive bootcamp that covers the essential skills for data analysts, including data wrangling, cleaning, exploratory data analysis, statistical analysis, machine learning, and data visualization. The bootcamp is self-paced and can be completed in as little as six months.
  • Data Analyst with Python Career Track: This bootcamp teaches you how to use Python for data analysis. You’ll learn how to wrangle data, clean data, perform exploratory data analysis, and build machine learning models. The bootcamp is self-paced and can be completed in as little as four months.
  • Data Analyst with R Career Track: This bootcamp teaches using R for data analysis. You’ll learn how to wrangle data, clean data, perform exploratory data analysis, and build machine learning models. The bootcamp is self-paced and can be completed in as little as four months.
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Mode of study: Online

Duration: 64 hours (self-paced)

Price: Free – $33.25 per month

Pros
  • Self-paced learning
  • Interactive learning
  • Wide range of courses
  • Accredited certificates
Cons
  • It is expensive
  • No formal degree
  • Can be challenging

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9. Metis 

Metis offers a Data Analytics Online Flex Bootcamp designed for beginners who want to learn the fundamentals of data analytics.

The bootcamp covers data wrangling, cleaning, exploratory data analysis, statistical analysis, machine learning, and data visualization. The bootcamp is self-paced and can be completed in as little as 12 weeks.

Mode of study: Online

Duration: 12 weeks 

Price: $7000

Pros
  • Experienced data scientists and industry professionals teach the program.
  • The curriculum is comprehensive and covers the latest trends in data science.
  • The program includes career coaching and networking opportunities.
  • Metis has a strong alumni network that can help graduates find jobs.
Cons
  • The program is expensive.
  • The program is full-time, so balancing work or other commitments cannot be easy.
  • The program is rigorous and requires a lot of hard work.

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10. Ironhack 

Ironhack offers Data Analytics Bootcamp, designed for beginners who want to learn the skills necessary to become a data analyst.

The bootcamp covers data wrangling, cleaning, exploratory data analysis, statistical analysis, machine learning, and data visualization.

The bootcamp is nine weeks long and is offered in both online and on-campus formats. The cost of the bootcamp is \ $12,500.

Mode of study: Online, on-campus

Duration: 9 weeks(full-time) to 24 weeks(part-time)

Price: $12,500(full-time) to $13,500(part-time)

Pros
  • Rigorous curriculum
  • Industry-relevant projects
  • Career support
  • Collaborative learning environment
Cons
  • High cost
  • Require much time commitment
  • It can be challenging

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11. Data Science Dojo 

The Data Science Dojo Data Analytics Bootcamp for Beginners is a comprehensive online program that teaches you the fundamentals of data science and data analytics. 

The bootcamp is delivered online so you can learn at your own pace. The program includes live lectures, interactive exercises, and hands-on projects. You will also have access to a community of fellow learners and instructors.

Mode of study: Online

Duration: 12-16 weeks

Price: $2,799

Pros
  • Hands-on training
  • Expert instructors
  • Flexible learning
  • Affordable
Cons
  • Fast-paced
  • Not for everyone
  • Lack of career support

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For Advanced Learners

Here are the ten best data analytics Bootcamps for advanced learners:

12. Utiva

Utiva’s Data Analytics Bootcamp is a 4-month online program that teaches students the skills they need to become data analysts. The curriculum covers a wide range of topics for advanced learners, including data collection, data cleaning, data analysis, and data visualization.
Students also complete four live projects that give them hands-on experience working with real-world data sets. 

Industry experts and leaders teach the program and use a project-based learning model to provide students with the practical skills they need to succeed in the workforce. Upon completing the program, students will receive a Utiva Data Analytics Certification.

Mode of study: Online

Duration: 4 months 

Price: $12,000

Pros
  • The program is taught by experienced industry professionals.
  • The curriculum is up-to-date and covers the latest data analytics tools and techniques.
  • The program offers a variety of learning formats, including live lectures, hands-on projects, and peer-to-peer collaboration.
  • The program includes a career coaching component to help students prepare for their job search.
Cons
  • The program is relatively expensive.
  • The program is full-time, which may not be feasible for everyone.
  • The program is online, which may not be ideal for some students..

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13. BrainStation

BrainStation offers a data analytics Bootcamp for advanced learners. The bootcamp is designed for students with some prior experience in data analysis.

Students should have a strong understanding of statistics and mathematics and be familiar with programming languages such as Python or R.

Mode of study: Online

Duration: 12 weeks (30 hours per week)

Price: $$15,995

Pros
  • Rigorous curriculum
  • Industry-leading instructors
  • Career support
  • Flexible learning options
Cons
  • It is expensive
  • Require much time commitment
  • Competition from other graduates

Visit Website

14. Udemy

Udemy offers three data analytics Bootcamps, which are:

  • The Data Analyst Course: Complete Data Analyst Bootcamp by Jose Portilla. This bootcamp is 27 hours long and costs \$124.99. It covers various topics, including data wrangling, cleaning, analysis, visualization, and machine learning.
  • Data Analyst Boot Camp 2024: Get Ready to Be a Data Analyst by Andrei Neagoie. This bootcamp is 27 hours long and costs \$109.99. It covers similar topics to the previous bootcamp but also includes a section on SQL.
  • Advanced-Data Analytics using Python [2022] by Kirill Eremenko and Hadelin de Ponteves. This bootcamp is 18 hours long and costs \$14.99. It focuses on using Python for data analysis, including data wrangling, cleaning, analysis, visualization, and machine learning. Udemy course]

Mode of study: Online

Duration: 18 hours to 27 hours, depending on the course chosen.

Price: $14.99 to $124.99, depending on the course chosen.

Pros
  • It is flexible
  • It is affordable
  • It has a wide selection of courses
  • Expert instructors
  • Hands-on learning
Cons
  • Lack of structure
  • Quality can vary
  • No accreditation

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15. Coursera

Coursera offers a data analytics Bootcamp called Google Advanced Data Analytics Professional Certificate. This bootcamp is six months long and costs $49 per month (after a 7-day free trial).

It covers various topics, including data wrangling, cleaning, analysis, visualization, machine learning, and deep learning.

  • Mode of study: Online 
  • Duration: 6 months
  • Price: $49 per month
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Pros
  • High-quality content
  • Flexible learning
  • Job-ready skills
  • Network with other learners
Cons
  • It is expensive
  • Not as rigorous as a degree program
  • Lack of mentorship

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16. edX

edX offers a data analytics Bootcamp for advanced learners. Applicants must have a bachelor’s degree in a related field, such as computer science, statistics, or mathematics.

They must also have some experience with programming languages, such as Python or R.

Mode of study: Online

Duration: 24 weeks long, with the option to take it part-time or full-time

Price: The full-time tuition is $12,990, and the part-time tuition is $9,990.

Pros
  • Accredited by top universities.
  • Flexible learning options.
  • Hands-on experience. 
  • Career support.
Cons
  • It is expensive
  • Requires much time commitment
  • Self-paced courses can be challenging.

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17. CareerFoundry

CareerFoundry is an online education company offering advanced learners a data analytics Bootcamp.

Applicants must have a bachelor’s degree in a related field, such as computer science, statistics, or mathematics. They must also have some experience with programming languages, such as Python or R.

Mode of study: Online

Duration: 8 months

Price: The full-time tuition is $6,900, and the part-time tuition is $4,950.

Pros
  • Industry-relevant curriculum
  • Flexible learning
  • Personalized support
  • Guaranteed job placement
Cons
  • It is expensive
  • The program is very intensive.
  • You won’t receive a degree from CareerFoundry but a certificate of completion.

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18. Khan Academy

Khan Academy offers a free course on data analysis. The course covers the basics of data analysis, including data cleaning, data visualization, and statistical analysis.

Mode of study: Online

Duration: Self-paced

Price: Free

Pros
  • Khan Academy is completely free to use
  • It is accredited
  • Courses are flexible
  • Wide range of courses
  • High-quality content
Cons
  • No live instruction
  • No career support
  • Can be overwhelming

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19. NYC Data Science Academy

NYC Data Science Academy offers a Data Science Immersive program designed for experienced professionals who want to advance their careers in data science.

The program covers various topics, including machine learning, statistical modeling, and data visualization.

Mode of study: Online and in-person

Duration: 12 weeks full-time, 4-6 months full/part-time with the online-only program

Price: $17,600 

Pros
  • Comprehensive Curriculum
  • Experienced instructors
  • Comprehensive career services to help students find jobs after graduation
  • High job placement rate
Cons
  • It is expensive
  • Requires much time commitment
  • Students must have some prior experience with programming and mathematics.

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20. TripleTen

TripleTen is an online education company specializing in data science and analytics bootcamps. It has a strong reputation for its high-quality courses and commitment to student success.

Applicants must have a bachelor’s degree in a related field, such as computer science, statistics, or mathematics. They must also have some experience with programming languages, such as Python or R.

Mode of study: Online

Duration: 7 to 9 Months

Price: $8,933

Pros
  • Flexible learning
  • Project-based learning
  • Career support
  • Money-back guarantee
Cons
  • It is expensive
  • The curriculum is not comprehensive 
  • Lack of live instruction

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21. Data Incubator

Data Incubator is a leading data science and analytics bootcamp in the United States. The Data Incubator has a strong reputation for its high-quality courses and commitment to student success.

The program is full-time and provides mentorship, training, and networking opportunities.

Mode of study: Online, in person

Duration: 8 weeks

Price: The in-person tuition is $12,950, and the online tuition is $10,950.

Pros
  • Rigorous curriculum
  • Hands-on experience
  • Industry connections
  • Job placement assistance
Cons
  • It is expensive
  • Requires much time commitment
  • It is offered online only.

Visit Website

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Factors to Consider When Choosing Data Analytics Bootcamps

Here are some factors to consider when choosing data analytics bootcamps:

Curriculum

Make sure the bootcamp covers the topics you want to learn. Some bootcamps focus on specific areas of data analytics, such as machine learning or big data. Others offer a more general curriculum.

Format

Do you want to take a bootcamp in person or online? There are pros and cons to both formats. In-person bootcamps can be more immersive and provide more networking opportunities.

Online bootcamps are more flexible and can be more affordable.

Cost

Data analytics bootcamps can range in price from a few thousand dollars to tens of thousands. Be sure to factor in the cost of the bootcamp when deciding.

Reputation

Research to see what other people have said about the bootcamp. Read reviews and look at online ratings.

Career support

Some bootcamps offer career support services to help graduates find jobs. This can be a valuable resource, especially if you are new to the data analytics field.

Frequently Asked Questions

What is a data analytics bootcamp?

A data analytics bootcamp is a short-term, intensive program that teaches you the skills you need to become a data analyst. Bootcamps typically last 3-6 months and cover data cleaning, data visualization, statistical analysis, and machine learning.

What are the drawbacks of attending a data analytics bootcamp?

Bootcamps can be expensive, and they may not be right for everyone. If you are not comfortable learning in a fast-paced environment, a bootcamp may not be your best option.

What are the different types of data analytics bootcamps?

There are two main types of data analytics bootcamps: in-person and online. In-person bootcamps typically offer more networking opportunities but can be more expensive. Online bootcamps are more flexible and affordable, but they may not offer the same level of interaction with instructors and other students.

How much do data analytics bootcamps cost?

The cost of data analytics bootcamps can vary depending on the program, the format, and the location. In-person bootcamps typically cost more than online bootcamps. The average cost of a data analytics bootcamp is around $10,000.

What are the job prospects for data analysts?

The job prospects for data analysts are very good. The demand for data analysts is growing rapidly, and many open positions are available. According to the Bureau of Labor Statistics, the employment of data scientists and analysts is projected to grow 22% from 2020 to 2030, much faster than the average for all occupations.

Conclusion

Data analytics is a rapidly growing field with a high demand for skilled data analysts. Data analytics bootcamps can be a great way to learn the skills you need to enter this field.

Many different data analytics bootcamps are available, so it is important to do your research and choose the right one for you. Some factors to consider include the curriculum, the format, the cost, the reputation, and the career support offered by the bootcamp.

If you are considering a career in data analytics, I encourage you to research data analytics bootcamps and see if one is right. With the right skills and experience, you can have a successful career in this exciting field.

References

  • careerfoundry.com– 10 of the Best Data Analytics Bootcamps on the Market
  • fortune.com– Best Data Science and Analytics Bootcamps in 2024

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