best online course for big data analytics

Data analytics plays a key role in many of today’s fastest-growing industries, including information technology, marketing, and financial services. With a data analysis bootcamp, you can quickly learn the skills you need to land a high-paying job in the modern economy. But it can be difficult to decide between all your options for data analysis bootcamps, especially since these courses tend to cost thousands of dollars. To help you make this important decision, we’ve reviewed the top ten data analysis bootcamps below.

Our Ranking Criteria

In addition to helping you develop the technical skills you will need in your day-to-day work as a data analyst, the best bootcamps will show you how to make yourself a more attractive candidate for open data analyst positions. After reviewing dozens of data analysis bootcamps, we selected the ten programs that provided the best combination of high-quality course materials and career services.

Basic Ranking Criteria

You may be able to quickly rule out some of the courses listed below due to your background and current schedule. For example, if you can’t make room in your schedule for anything more than a part-time class, then a program that’s only available full-time is not going to be an option for you. To save you some time, we highlighted the following four factors for each of the data analysis bootcamps covered in this guide:

Time to complete. Do you want to get started with your data analysis career as quickly as possible, or are you willing to invest your time in a more thorough training process? Some data analysis bootcamps only last for one day, while other programs take place over several months.

Prerequisites required. If you already have experience with data analysis, you should consider a course that requires prerequisites — you won’t waste your money on a course that covers concepts you’re already familiar with. Conversely, if you’re new to data analysis, you should choose a course that’s open to everyone.

Flexible schedule. Many people who are interested in learning about data analysis already have busy schedules. In that case, you’ll need to find a course that offers a part-time or self-directed option.

Certificate of completion. Most of the programs covered in this guide will award you with a certificate upon completion of their course, which will help you prove your worth to prospective employers.

Advanced Ranking Criteria

The basic ranking criteria listed above applies to all online courses. We also looked at criteria that are specific to the field of data analysis, including:

  • The course covers a variety of technologies that are used in the data analysis industry (Python, NumPy, pandas, etc.)
  • In addition to showing students how to collect and analyze data, the course also teaches them how to present their insights to others
  • The course provides career services such as helping students build their portfolios and prepare for interviews
  • Instructors are skilled educators and highly experienced in the data analysis industry
  • The course utilizes exercises that replicate real-world situations that students will face as data analysts
  • Graduates of the course have landed jobs at big-name companies, such as Google, Amazon, and Microsoft
  • The course covers the latest cutting edge data analysis techniques, such as machine learning

10 Best Data Analysis Bootcamps


Data Analytics Program

Data Analytics Program CareerFoundry

Intelligent Award: Top Pick

CareerFoundry’s Data Analytics Program makes sure that each of their students gets a lot of personal attention. You’ll be assigned a mentor with over five years of industry experience, and you’ll also get access to a tutor for day-to-day feedback. Beyond teaching you the data analysis skills that you’ll need to work in the industry, CareerFoundry will also show you how to attain a high-paying job. Their career services team will provide you with tailored advice for building your portfolio and improving your interview technique — and if you don’t land a data analyst job within 180 days of graduating this course, you’ll get all your money back.

  • Price: $6,900
  • Time to complete: 5 to 8 months
  • Prerequisites required: Yes
  • Flexible schedule: Yes
  • Includes verified certificate of participation: Yes

Who should take this course? If you’re as concerned about building your professional network as you are about developing your technical skills, this is the ideal course for you.

What we likeWhat we don’t like
Affordable pricingTakes at least 5 months to complete
Money-back guarantee

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General Assembly

Data Analytics Bootcamp

Data Analytics Bootcamp General Assembly

Intelligent Award: Most Affordable

General Assembly’s Data Analytics Bootcamp packs a lot of useful information into a short period of time — in one 5.5-hour class, you’ll learn how to collect, analyze, and present insights from both small and large data sets. In addition to developing these skills, you will learn about the general value of data in everyday decision making as well. This course only costs $170, making it one of your most affordable options. But, as you might expect from the cost and course length, it doesn’t go into nearly as much detail regarding the practice of data analysis as the longer and more expensive courses covered in this guide. Also, it should be noted that this bootcamp is scheduled for Australian Eastern Standard Time (AEST), so the hours may be inconvenient if you’re located outside of Australia.

  • Price: $170
  • Time to complete: One 5.5-hour class
  • Prerequisites required: No
  • Flexible schedule: No
  • Includes verified certificate of participation: No

Who should take this course? This is an excellent course for anyone who is interested in the fundamentals of data analysis. It’s very helpful if data analysis is part of your job, but the course isn’t thorough enough to prepare you for the role of a full-fledged data analyst.

What we likeWhat we don’t like
Affordable pricingNot as thorough as most other courses
Only takes one day to completeInconvenient scheduling outside of Australia

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Data Analytics Bootcamp

Data Analytics Bootcamp Thinkful

Intelligent Award: Most Advanced Coursework

One of the best aspects of Thinkful’s Data Analytics Bootcamp is its flexibility. You can take the class full-time, part-time, or learn at your own pace. This course will introduce you to all the tools that you need to analyze data and present insights, including Excel, PowerPoint, and Tableau. You’ll also learn how to use the programming languages SQL and Python to capture, extract, and analyze data stored in databases. Graduates of this course have gone on to work at some of the biggest companies in the tech industry, including Google, Amazon, and IBM.

  • Price: $12,250 (full-time), $6,500 (part-time)
  • Time to complete: 4 months (full-time), 6 months (part-time), 4 weeks (self-paced)
  • Prerequisites required: No
  • Flexible schedule: Yes
  • Includes verified certificate of participation: No

Who should take this course? Thinkful offers a comprehensive course that dives into the finer points of data analysis. This is an excellent option for anyone who is interested in a career in this field.

What we likeWhat we don’t like
Variety of scheduling optionsNo certificate of participation
Robust coverage of data analysis practices

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Online Data Science Bootcamp

Online Data Science Bootcamp BrainStation

Intelligent Award: Best Student-Teacher Ratio

BrainStation’s Online Data Science Bootcamp will introduce you to some of the most cutting edge techniques used in data analysis. You’ll learn about statistical methods such as regression techniques and machine learning algorithms, and the class involves tools such as Python, R, and Tableau. Once you have a firm understanding of these tools and concepts, you’ll then need to complete five projects and one major portfolio piece using real-world data. It’s worth noting that this is a very beginner-friendly course — even without any prior experience, you’ll be able to transform your career in just 12 weeks. BrainStation also has a particularly low student-teacher ratio, so instructors are available to help you through any areas that you struggle with. Financing and scholarships are available to help you pay for the course as well.

  • Price: $15,000
  • Time to complete: 12 weeks
  • Prerequisites required: No
  • Flexible schedule: Yes
  • Includes verified certificate of participation: Yes

Who should take this course? Considering that this course is both beginner-friendly and also covers advanced topics, it’s a good fit for just about anyone who is interested in this subject.

What we likeWhat we don’t like
Low student-teacher ratioNo asynchronous option
Teaches advanced data analysis techniques

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Data Analytics Bootcamp — Best for Data Visualization

Data Analytics Bootcamp Springboard

Intelligent Award: Best for Data Visualization

Springboard has partnered with Microsoft to develop one of the most thorough data analysis bootcamps available. In their Data Analytics Bootcamp, you’ll watch videos produced by Microsoft, learn insights from McKinsey experts, and go through case studies from Harvard Business School. The topics covered include thinking in a structured manner, breaking down problems into bite-sized chunks that can be tested, analyzing business problems, connecting data using SQL, visualizing your data, and presenting your analysis. Indeed, you’ll learn everything you need to know to work in the data analysis industry.

  • Price: $5,500
  • Time to complete: 6 months
  • Prerequisites required: Yes
  • Flexible schedule: Yes
  • Includes verified certificate of participation: Yes

Who should take this course? This is an excellent and affordable course. It should be noted, though, that you’ll need two years of experience with office, design, or programming tools to make it through the application process.

What we likeWhat we don’t like
High-quality course materialsNot beginner-friendly
Affordable pricing

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Coding Temple

12 Week Full-stack Development Course

12 week Full-stack Development Course Coding Temple

Intelligent Award: Most Technologies Covered

Coding Temple’s 12 week Full-stack Development Course is focused on the coding side of data analysis. The programming languages covered include HTML, CSS, Python, Flash, and React; the database technologies covered include SQL, SQLite, PostgreSQL, and MongoDB; and the data analysis tools covered include Tableau, NumPy, pandas, Apache Spark, and Matplotlib. Furthermore, you’ll learn how to work in development environments such as Git, GitHub, and Microsoft Visual Studio. Coding Temple also has student relations managers who check in with everyone in the course on a weekly basis, ensuring that no one falls behind.

  • Price: $12,995
  • Time to complete: 12 weeks
  • Prerequisites required: No
  • Flexible schedule: No
  • Includes verified certificate of participation: Yes

Who should take this course? Coding Temple is ideal for students who want to develop their programming skills in addition to their data analysis skills.

What we likeWhat we don’t like
Low student-teacher ratioSchedule is not flexible
Teaches advanced data analysis techniques

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Introduction to Python

Introduction to Python DataCamp

Intelligent Award: Best for Python

In just four hours, DataCamp’s Introduction to Python course will allow you to master the basics of data analysis in Python. DataCamp’s 11 videos and 57 exercises on this subject will take you through how to use Python, manipulating data in lists, using functions and packages to leverage Python code, and using the NumPy Python package to practice data science. While this is an excellent introduction to data analysis and the Python programing language, you should keep in mind that you’ll need additional training to be qualified for a data analyst job.

  • Price: Included with the subscription for all of DataCamp’s course, with prices starting at $25/month
  • Time to complete: 4 Hours
  • Prerequisites required: No
  • Flexible schedule: No
  • Includes verified certificate of participation: No

Who should take this course? This DataCamp course is great for those who are just getting started with their data analysis careers. But if you have any experience in the field, there’s a good chance that these concepts are already familiar to you.

What we likeWhat we don’t like
Affordable pricingNot as thorough as most other courses
Only takes one day to complete

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Data Science Dojo

Data Science Bootcamp

Data Science Bootcamp Data Science Dojo

Intelligent Award: Best for Real-World Training

Data Science Dojo’s Data Science Bootcamp provides you with everything you need to succeed in the data analysis industry. With this course, you’ll get access to training led by expert instructors, dedicated office hours, and a strong alumni network. One of the best aspects of this program is that it provides you with exposure to what the data analysis industry is actually like — instructors will share anecdotes that they’ve collected over their careers, and real-world examples are incorporated into the coursework as well.

  • Price: $2,799
  • Time to complete: 16 weeks
  • Prerequisites required: No
  • Flexible schedule: No
  • Includes verified certificate of participation: Yes

Who should take this course? If you’re concerned about your budget, Data Science Dojo should be at the top of your list — it’s one of the most affordable full courses available.

What we likeWhat we don’t like
Focus on practical data analysis trainingNo part-time option
Affordable pricing

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Data Analytics Bootcamp

Data Analytics Bootcamp Ironhack

Intelligent Award: Best for Machine Training

Ironhack’s Data Analytics Bootcamp is particularly thorough. The course consists of a pre work period followed by three modules of increasing intensity. During the pre work period, you’ll be given 60 hours of online learning material focusing on command line, Git, Python, MySQL, and statistical analysis. The modules will then take you through a closer review of Python, advanced data analytics, and the fundamentals of machine learning. Overall, Ironhack will provide you with a more detailed review of advanced data analysis techniques than most of your other bootcamp options.

  • Price: Starts at $12,500
  • Time to complete: 9 weeks (full-time), 24 weeks (part-time)
  • Prerequisites required: No
  • Flexible schedule: Yes
  • Includes verified certificate of participation: Yes

Who should take this course? If you want to specialize in machine learning, Ironhack can offer you a lot of help with this subject — an entire module of their course is dedicated to machine learning.

What we likeWhat we don’t like
Full-time and part-time optionsNot beginner-friendly
Teaches advanced data analysis techniques

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Le Wagon

Data Science Course

Data Science Course Le Wagon

Intelligent Award: Best Alumni Network

Le Wagon’s Data Science course covers a wide variety of topics, from decision science to deep learning to data engineering. They’ll certainly provide you with the skill set you need on the job as a data analyst, but the biggest benefit to this program is what it teaches you about navigating the job market. They offer job fairs, networking events, and alumni coaching sessions to help you jumpstart your career. Le Wagon also provides you with a career playbook that reviews topics such as building your portfolio and finding your dream job.

  • Price: $8,400
  • Time to complete: 9 weeks (full-time), 24 weeks (part-time)
  • Prerequisites required: No
  • Flexible schedule: Yes
  • Includes verified certificate of participation: No

Who should take this course? With their robust course materials and career services, Le Wagon is a strong option for anyone interested in data analysis.

What we likeWhat we don’t like
Robust career servicesNo certificate of participation

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Data Analysis Bootcamp Comparison Chart

CareerFoundry — Data Analytics Program — Top Pick$6,900X No prerequisites required✓ Flexible schedule✓ Certificate of participation
General Assembly — Data Analytics Bootcamp — Most Affordable$170✓ No prerequisites requiredX Flexible scheduleX Certificate of participation
Thinkful — Data Analytics Bootcamp — Most Advanced Coursework$12,250 (full-time), $6,500 (part-time)✓ No prerequisites required✓ Flexible scheduleX Certificate of participation
BrainStation — Online Data Science Bootcamp — Best Student-Teacher Ratio$15,000✓ No prerequisites required✓ Flexible schedule✓ Certificate of participation
Springboard — Data Analytics Bootcamp — Best for Data Visualization$5,500X No prerequisites required✓ Flexible schedule✓ Certificate of participation
Coding Temple — 12 week Full-stack Development Course — Most Technologies Covered$12,995✓ No prerequisites requiredX Flexible schedule✓ Certificate of participation
DataCamp — Introduction to Python — Best for PythonStarts at $25/month✓ No prerequisites requiredX Flexible scheduleX Certificate of participation
Data Science Dojo — Data Science Bootcamp — Best for Real-World Training$2,799✓ No prerequisites requiredX Flexible schedule✓ Certificate of participation
Ironhack — Data Analytics Bootcamp — Best for Machine LearningStarts at $12,500✓ No prerequisites required✓ Flexible schedule✓ Certificate of participation
Le Wagon — Data Science Course — Best Alumni Network$8,400✓ No prerequisites required✓ Flexible scheduleX Certificate of participation

Tips for Succeeding in a Data Analysis Bootcamp

1. Consider the cost

How much do data analysis bootcamps cost?

The cost of a data analysis bootcamp depends on the length of the program. One day courses are available for as low as $25. You can expect a standard, 12+ week course to cost you somewhere between $2,000 to $18,000.

Will my employer pay for me to take the course?

Some employers will pay for their workers to take courses such as data analysis bootcamps. Before paying for one of these courses out of your own pocket, consult with your supervisor or HR department to see if such a program exists at your workplace.

2. Get your tech squared away

The most important piece of technology you’ll need for a data analysis bootcamp is access to a computer that’s capable of streaming live video lectures. We recommend that your machine have at least an i5-level processor and 8 GB of RAM.

3. Use the right study resources

While many bootcamps will start with the basics, other courses will assume that you’re coming in with a firm understanding of data analysis fundamentals. If you’d like to get a start on these fundamentals on your own, we recommend the following books: Numsense! Data Science for the Layman: No Math Added by Annalyn Ng & Kenneth Soo, Practical Statistics for Data Scientists by Peter Bruce & Andrew Bruce, and Doing Data Science: Straight Talk from the Frontline by Cathy O’Neil & Rachel Schutt.

Frequently Asked Questions About Data Analysis Bootcamps

What jobs can you get after completing a data analysis bootcamp?

Data analyst jobs are available in a variety of industries. Some of the more popular positions in this field include financial analyst, market researcher, business intelligence analyst, project manager, and IT systems analyst.

Are there free online data analysis bootcamps?

There is free material available on the internet for learning about this subject, but these resources won’t provide you with the in-depth training and career services that are included with a data analysis bootcamp. To get the skills you need to succeed as a data analyst, you’ll need to pay for it.

How long is the average data analysis bootcamp?

Generally, one-day data analysis bootcamps take between four to six hours. Full courses tend to take between 12 to 24 weeks.

Is a data analysis bootcamp worth it?

The answer to this question, of course, will depend on your specific situation. If you already have a decent amount of experience with data analysis, you may be able to avoid the time and expense of a bootcamp and get hired right away. But if you’re somewhat new to the field, the refined course materials and professional networking connections that come with these bootcamps make them a highly effective way to get your foot in the door.

10 Best Big Data Analytics Courses Online in 2021

Friday, August 6, 2021

Today, data science is no longer the buzzword as the rise of the data-driven market. IBM report estimates that data-related job postings will rise to 2.7 million by 2020. That said, the demand for data-related professional skills like machine learning and AI are must-haves for analytic talents. 

This article recommends the 10 best big data analytics online courses for beginners, especially those who plan to make the transition to data analytic jobs.  


1. Data Analysis and Presentation Skills: the PwC Approach Specialization

ProviderPrice Waterhouse Coopers LLP

Commitment: 21weeks, 3-4hours/week

This specialization includes 5 courses, from data-driven decision making, problem-solving with basic functions of Excel, data visualization with advanced excel, to the business presentation with PowerPoint, and a final project.

  • Course 1: Data-driven Decision Making
  • Course 2: Problem-solving with Excel
  • Course 3: Data Visualization with Advanced Excel
  • Course 4: Effective Business Presentations with PowerPoint
  • Course 5: Data Analysis and Presentation Skills: the PwC Approach Final Project

Average Rating of 4.6

The data analysis specialization is designed for employees by PWC, which undoubtedly focuses more on business application than theory. It’s suitable for people without a programming background.   

2. Data Science Specialization  

Provider: John Hopkins University

Commitment: 43 weeks, 4-9 hours/week

Composed of 10 courses, this specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.

Average Rating 4.6

This is one of the longest data science specializations on Coursera. Unlike the PWC one, it focuses more on theories related to statistics, algorithm and data analysis. Besides, these courses are based on the R programming language. As a result, a basic knowledge of programming is recommended before taking the courses.

10 Best Big Data Analytics Courses Online in 2021

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3. Big Data Specialization

Provider: University of California, San Diego

Commitment: 30 weeks, 3-6 hours/week

With a total of 6 courses, it covers the main aspects of big data, from the basic introduction, modeling, management systems, integration, and processing, to machine learning and graph analytics.

  • Course 1: Introduction to Big Data
  • Course 2: Big Data Modeling and Management Systems
  • Course 3: Big Data Integration and Processing
  • Course 4: Overview of Machine Learning
  • Course 5: Graph Analytics for Big Data
  • Course 6: Big Data – Final Project

Average rating 4.3

This is a great introduction to big data for beginners which doesn’t delve too much into programming. No prior programming experience is needed. It involves several open-source software tools including Apache Hadoop.  

4. Statistics with R

Provider: Duke University

Commitment: 27 weeks, 5-7 hours/week

With the 5 courses in this specialization, you will learn to analyze and visualize data in R. You will be able to create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference, and modeling.

  • Course 1: Introduction to Probability and Data
  • Course 2: Numerical and Categorical Data
  • Course 3: Linear Regression and Modeling
  • Course 4: Bayesian Statistics
  • Course 5: Statistics with R Capstone

Average Rating  4.5

The course is all about R programming. Please make sure you are fully prepared with programming skills. 


5. Microsoft Professional Program in Data Science

Provider: Microsoft

Commitment: 56-58 weeks, 2-4 hours/week

Made up of 4 units (10 courses total) and a Final Project. This specialization covers the basic introduction of data science, essential programming languages and advanced programming languages in applied data science.

  • Unit 1 – Fundamentals
  • Unit 2 – Core Data Science
  • Unit 3 – Applied Data Science
  • Unit 4 – Capstone Project

Average Rating  N/A

Unsurprisingly, it has a high connection with Microsoft software, including Excel, Power BI, Azure, and R server. These courses also involve R and Python. 

6. Marketing Analytics

Provider: University of California, Berkeley

Commitment: 16 weeks, 5-7 hours per week.

With the 5 courses in this specialization, you are able to get a certificate & credit Pathways upon graduation. The program is designed and taught by industry expert Stephan Sorger, who held a leadership role in marketing and product development at organizations like Oracle, 3Com, and NASA. 

  • Course 1: BerkeleyX’s Marketing Analytics MicroMasters® Program
  • Course 2: Marketing Analytics: Marketing Measurement Strategy
  • Course 3: Marketing Analytics: Price and Promotion Analytics
  • Course 4: Marketing Analytics: Competitive Analysis and Market Segmentation
  • Course 5: Marketing Analytics: Products, Distribution, and Sales

Average Rating  N/A

This program focuses more on utilizing data on marketing planning and decision, including Marketing Measurement Strategy, Price and Promotion Analytics, Competitive Analysis and Market Segmentation, Products Distribution and Sales. Personally speaking, it’s a good course for a digital marketer who wants to improve his/her numerical ability.

Cognitive Class

7. Big Data Fundamentals

Provider: IBM

Commitment: 13 hours

It only consists of 3 courses. These courses give a brief introduction to Big Data, Hadoop and Spark. Cognitive class is Known as Big Data University before. Now they rebranded it a MOOC provider backed by IBM.

  • Course 1: Big Data 101
  • Course 2: Hadoop 101
  • Course 3: Spark Fundamentals 1

Average Rating  N/A

As a Big Data 101 program, the courses mainly introduce the core concepts about big data and how it immerses in our everyday lives and work. Meanwhile, lots of big data tools are presented to show how data are being captured, processed and visualized.Alternative course: Master of Science in Data ScienceCreator: Maryville UniversityThis program is a 100% online, 36 credit data science program designed to allow you to develop the skills, knowledge, and experience to succeed in the data science field. The courses delve into machine learning, data mining, big data, and deep learning, as well as coding skills in Python, SQL, R, and SAS.MIT Open Courseware 

8. Advanced-Data Structures

Instructor:  Prof. Erik Demaine+

Commitment: 22 sessions, 90mins/session

This course serves as a broad overview of the many different types of data structures, including geometric data structures, like a map, and temporal data structures, as in storage that happens over a time series. It covers the major directions of research for a wide variety of such data structures.

  • Session 1: Persistent Data Structures
  • Session 2: Retroactive Data Structures
  • Session 3~4: Geometric Structures I ~ II
  • Session 5~6: Dynamic Optimality I ~ II
  • Session 7: Memory Hierarchy Models
  • Session 8~9: Cache-Oblivious Structures I ~ II
  • Session 10: Dictionaries
  • Session 11: Integer Models
  • Session 12: Fusion Trees
  • Session 13: Integer Lower Bounds
  • Session 14: Sorting in Linear Time
  • Session 15: Static Trees
  • Session 16: Strings
  • Session 17~18: Succinct Structures I ~ II
  • Session 19~20: Dynamic Graphs I ~ II
  • Session 21: Dynamic Connectivity Lower Bound
  • Session 22: History of Memory Models

Average Rating  N/A

This is an advanced course on explaining the different data structures. To help every learner master the lesson easier, a one-page assignment is provided on a weekly basis to help get rid of the difficulties during the whole learning process.

9. Python

Instructors: Austin Bingham, Robert Smallshire, Terry Toy, Bo Milanovich, Emily Bache, Reindert-Jan Ekker

Commitment: 3 sessions, 28 hours totally

This path will take you from the basics of the Python language all the way up to working with web frameworks and programming.

Python is an interpreted object-oriented programming language. It is open-source, so the interpreter and source are freely available and distributable in binary form. This contributes Python to become a popular programming language in data analysis.

Average Rating  N/A

There are 3 sessions for the beginner, the intermediate and the advanced separately. You could either choose one of the suitable courses or you will grow from zero to hero after you finish all the courses.


10. Java Tutorial for Complete Beginners 

Instructor: John Purcell

Commitment: 75 lectures, 16 hours totally

A beginner course to learn the Java programming language. No prior programming knowledge is required. The key reason for recommending this course: Hadoop is Java-based, which is one of the hottest open-source software utilities that paves the ground for big data analysis.


Traditional approaches to extract data online manually are no longer used. You need a much more efficient web-scraping tool to extract information on the Internet.

Octoparse is an automatic web scraping tool recommended by many data experts. It is easy to use, fast to learn and does not require prior programming knowledge. Millions of data online will turn into structured datasheet (Excel, CSV, SQL, API) at your fingertips in seconds.

Abundant tutorials can be found on Octoparse’s website, such as scraping leads from directories (Yellowpages) and scraping product information from an online marketplace (Amazon).

The biggest challenge for you is not how difficult the courses would be, but taking your career to the next level. 

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