Digital media and social applications are extensively used throughout various industries, resulting in rapid data growth. Companies are now looking at ways to harness and interpret this data, which has led to the high demand for big data experts. In this article, you’ll learn about some of the best online big data courses, classes, and training programs for entry in this field.
What Is Big Data?
Big data is composed of structured, unstructured, and semi-structured data that’s collected and mined to be used for machine learning projects, advanced analytics applications, and predictive modeling. Big data has been defined by having volume, velocity, and variety as its primary characteristics.
Why Online Big Data Courses Are Important for Professional Development
Online big data courses are essential for professional development as it offers quick, convenient, and comfortable learning at your fingertips. Most courses provide hands-on projects that will test your knowledge and skills and prepare you to work as a data scientist. They also usually include certificates of completion that can be added to your LinkedIn profile and resume.
Should You Attend a Coding Bootcamp to Learn Big Data?
Bootcamps are an excellent option for learning big data. They often cover programming languages like Python, Java, R, and SQL, and teach you how to apply these languages to big data analysis. Bootcamps are designed to make you employable and often offer career services. They’re also more affordable than a college degree program.
Overview: The Best Online Big Data Courses, Classes, or Training
There are lots of online big data courses, classes, and training programs that you can choose from. The table below outlines some of the best program options available. When choosing which program is right for you, it’s helpful to consider the length of time, price, and certificate options.
| Provider | Course | Price | Length | Certificate |
|---|---|---|---|---|
| Codecademy | Data Scientist | $15.99 per month | 35 Weeks | Yes |
| Coding Dojo | Data Science Online | $8,745 | 12 Weeks | No |
| Coursera | Data-driven Decision Making | Free and paid options | 9 Hours | Yes, in the paid option |
| Coursera | Modern Big Data Analysis with SQL | Free and paid options | 4 Months | Yes, in the paid option |
| Coursera | Google Cloud Big Data and Machine Learning Fundamentals | Free and paid options | 12 Hours | Yes, in the paid option |
| Coursera | IBM Data Science Professional Certificate | Free and paid options | 11 Months | Yes, in the paid option |
| edX | Big Data Fundamentals | $199 | 10 Weeks | Yes |
| Harvard University | Data Science for Business | $1,600 | 4 Weeks | Yes |
| Lambda School | Data Science Course | $30,000 | 6 Months | No |
| LinkedIn Learning | Big Data in the Age of AI | $29.99 | 2 Hours | Yes |
| MIT xPro | Professional Certificate in Data Engineering | $6,950 | 6 Months | Yes |
| NobleDesktop | Data Science | $4,790 | 3 Weeks | Yes |
| Simplilearn | Big Data Engineer’s Master’s Program | $1,299 | Self-paced | Yes |
| Udacity | Become a Data Engineer | $1,695 | 5 Months | Yes |
| Udemy | The Ultimate Hands-On Hadoop: Tame your Big Data! | $84.99 | 14 Hours and 30 minutes | Yes |
In Detail: The Best Online Big Data Classes, Courses, or Training
Data Scientist | Codecademy
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Data Science, Python 3, pandas, Matplotlib, Scikit-learn
Throughout this data scientist course, you will develop a strong foundation in SQL, Python, machine learning, and artificial intelligence. The goal of the program is to fully equip students to become data scientists or data analysts by the time they complete the program.
Key Takeaway: This online course is designed for students who are interested in pursuing data science professions.
Data Science Online | Coding Dojo
- Learning Format: Bootcamp program
- Level: Beginner/Intermediate
- Subjects Covered: Fundamentals of data science, machine learning in Python, data science processes, data prep, data analysis, visualization, business analytics
Coding Dojo uses a multidisciplinary curriculum focused on learning Python’s strengths and weaknesses in manipulating data. Students also learn the foundations of data modeling and machine learning. As part of the program, you’ll build visualizations to understand your data and how to communicate results to stakeholders.
In addition, you’ll also get to learn key statistical techniques by experimenting with Python using real-world datasets. You’ll have an opportunity to understand machine learning and how to format your data to be acceptable for an algorithm. Furthermore, you’ll also learn about logistic and linear regression to get a visual understanding of how the algorithm works.
Key Takeaway: This bootcamp’s online training program delves into the essential concepts of data science and machine learning in Python. As shown by Coding Dojo reviews, students are very satisfied with the results.
Data-driven Decision Making | Coursera
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Data-informed decision-making, big data, data analytics, data visualization
During this course, you’ll learn the basics of data analytics and how they are used for solving problems in business. You’ll learn about the tools used in data analysis and how data is used to steer big business decisions. Toward the end of the course, you’ll participate in a hands-on project in a virtual business environment.
Key Takeaway: This course is an ideal self-paced learning option for students who want to gain a well-rounded understanding of how data can be used to make wise business decisions.
Modern Big Data Analysis with SQL Specialization | Coursera
- Learning Format: Specialization program
- Level: Beginner
- Subjects Covered: Foundations of big data analysis with SQL, analyzing big data with SQL, managing big data in clusters, cloud storage
This specialization program is offered by Coursera in collaboration with Cloudera. It consists of three individual courses that are focused on analyzing big data using SQL. It includes hands-on projects and shareable certificates for each course. This specialization program also prepares students to take the Cloudera Certified Associate (CCD) Data Analyst certification exam.
Key Takeaway: This specialization equips students with the skills, tools, and techniques to analyze big data. It doubles as certification training for the Cloudera Certified Associate (CCD) Data Analyst certification exam.
Google Cloud Big Data and Machine Learning Fundamentals | Coursera
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: Big data and machine learning products, business analytics, MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud, data processing products
This is one of the best introductory courses on the big data capabilities of Google Cloud. It provides an overview of Google Cloud and trains students in data processing and machine learning capabilities. You’ll learn how to use BigQuery to perform interactive data analysis and use Cloud SQL and Dataproc to migrate existing workloads to Google Cloud.
Key Takeaway: The course combines presentations, demos, and hands-on experience to help participants get an overview of Google Cloud, data processing, and machine learning capabilities.
IBM Data Science Professional Certificate | Coursera
- Learning Format: Professional certificate program
- Level: Beginner
- Subjects Covered: Data science, deep learning, machine learning, big data, data mining
This professional certificate program offers a hands-on learning experience that’s focused on vital foundational skills for succeeding as a data scientist. You don’t need prior knowledge of computer science or other programming languages to enroll in this program, which makes it an excellent beginner option.
You’ll learn about tools for data science, data science methodology, and how to use Python in the context of data science. At the end of the program, you’ll participate in a data science capstone project that addresses real-world problems that data scientists deal with on a daily basis.
Key Takeaway: Aside from the professional certificate, you’ll also receive a digital badge from IBM that recognizes you as a real-life expert in data science foundations.
Big Data Fundamentals | edX
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: MapReduce, elements in big data, PageRank algorithms, random walk algorithms, business analytics
This course is offered by edX in collaboration with The University of Adelaide. Students learn about MapReduce and how to understand PageRank algorithms and random walk algorithms. They also learn how to create algorithms for stream processing and cluster big data. Students are expected to have basic programming skills before enrolling in this course.
Key Takeaway: This course covers core concepts of big data and provides extensive online training to prepare students for more advanced concepts in the associated MicroMasters program.
Data Science for Business | Harvard University
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Data science tools, data curation, regression models, visualization, database management, business intelligence, experimental design
This course teaches you how data science fits into the business world and how it can benefit or prevent a business’s success. Throughout the course, you’ll learn how to analyze datasets, metrics, and visualizations. You’ll also learn about data curation, regression models, prediction, visualization, and how to use to communicate complex ideas with your data team.
Key Takeaway: This course is offered by one of the best universities in the world and is designed to provide students with in-depth knowledge of data science concepts, specifically in a business context.
Data Science Course | Lambda School
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Python, SQL, data visualization, predictive modeling, linear algebra, databases, statistical analysis, natural language processing, business analytics
This course features live lectures that are focused on teaching you the job-ready data skills that hiring managers are looking for. You’ll learn how to use Python, analyze several types of data, and communicate your findings. Part of the course involves collaborating with classmates to build real products that can be added to your portfolio at the end of the course.
Key Takeaway: This course will provide all of the skills you need to be hired as a data scientist after you graduate.
Big Data in the Age of AI | LinkedIn Learning
- Learning Format: Class
- Level: Beginner
- Subjects Covered: Big data, ethics in big data, data logistics, data mining, text analysis, business analytics
This theoretical course covers how big data works within the global business environment. Instructor Barton Poulson teaches about the role of artificial intelligence in big data, and how it relates to data science, social media, and the Internet of Things. It also includes some techniques used to analyze big data, such as predictive analytics and data mining.
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Key Takeaway: This class provides a theoretical explanation of big data to give you a better idea of how it fits into modern society.
Professional Certificate in Data Engineering | MIT xPro
- Learning Format: Professional certificate program
- Level: Beginner
- Subjects Covered: Python, SQL, machine learning, data engineering, data wrangling, databases, data warehousing, predictive analytics, knowledge management, business analytics, database design
In this program, you’ll learn how to code in Python, create databases using SQL, and analyze giant sets of data using databases in Python. In addition, you’ll utilize modern data engineering platforms to curate data, and manage big datasets using data warehousing and workflow management platforms.
Key Takeaway: This course is offered by the extension of Massachusetts Institute of Technology (MIT) and is ideal for students who are interested in becoming big data engineers. Upon completion, students earn a professional certificate and are provided with career services.
Data Science Certificate | Noble Desktop
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: SQL, Python for automation, machine learning models, query databases with SQL, predictive analytics, business analytics, knowledge management
In this course, you’ll learn how to analyze data with Python, create machine learning models, and query databases with SQL. It’s a beginner-friendly program that will ultimately provide you with the skills to work in entry-level data science or Python engineering roles.
Key Takeaway: This course aims to equip students with essential skills for the workplace. Additionally, program graduates are provided with job assistance to help them increase their career prospects.
Big Data Engineer | Simplilearn
- Learning Format: Master’s certificate program
- Level: Intermediate
- Subjects Covered: Hadoop ecosystem, SQL, fundamentals of Scala, database design, Amazon EMR, business analytics, knowledge management, Core Java
The certification program is offered by Simplilearn in collaboration with IBM and explores every aspect of big data and Hadoop frameworks. Students learn about Amazon Web Services (AWS) and how to use MongoDB to store data through interactive sessions, labs, and projects.
Key Takeaway: This program includes question-and-answer sessions with IBM managers and awards a Big Data Engineer Master’s Certificate that is well-regarded in the industry.
Become a Data Engineer | Udacity
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: Big data ecosystem, NoSQL, Apache Airflow, Spark, data pipelines, data lineage, database design, business analytics, experiment design
This comprehensive course will immerse you in real-world projects to help you gain the skills needed to succeed in this industry. Some of the topics covered are designing data models, building data warehouses and data lakes, and working with massive datasets. You’ll receive support from mentors and career services once you graduate.
Key Takeaway: Udacity provides this high-quality course to prepare students to work in the industry. It goes the extra mile by offering flexible payment and study plans to accommodate busy professionals.
The Ultimate Hands-On Hadoop: Tame your Big Data! | Udemy
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: Hadoop, MapReduce, HDFS, Spark Streaming, Flink, Hive, HBase, MongoDB
In this course, you’ll learn how to manage big data by using Hadoop. You’ll utilize Pig and Spark applications to design scripts on a Hadoop cluster and learn how to process non-relational data by using HBase, Cassandra, and MongoDB. You’ll also learn how to publish data using Kafka, Sqoop, and Flume. Upon completing the course, you’ll earn a certificate of completion.
Key Takeaway: This online course is taught by a former engineer and senior manager from Amazon and IMDb and aims to equip students with practical skills and management tools that can be applied to entry-level tech positions.
Online Big Data Classes, Training, or Courses: Which Is the Right Option?
Choosing the right big data program can be overwhelming with so many options available. While there are no right or wrong program options, some options are better suited to your preferences and needs than others. Some helpful variables to consider are the cost, focus, and certificate options associated with each option.
How to Choose the Right Online Big Data Course, Class, or Training Program
Focus
Some online courses provide a general overview of theoretical concepts, while others dive into specific avenues of big data analysis techniques. When choosing which program is right for you, it’s important to consider your career goals and use ithem as a guide for choosing your program focus.
Cost
The cost of online courses widely varies. Some programs are free, while others can cost thousands of dollars. However, most paid programs offer a variety of payment options and aid, including scholarships, grants, discounts, and payment plans. If the program you’re interested in is out of your budget, you can explore payment options through the provider’s website.
Certificate
Certificates are often awarded to program graduates for completing the associated program, and they can be used on LinkedIn profiles and resumes to prove program completion. Although some are more reputable than others, having a certificate is very useful for professional reasons.
Big Data Course Certificates vs Certifications
Course certificates and certifications are often spoken of interchangeably, but they have significant differences. Course certificates prove that you successfully finished the related program and provide proof of that. Alternatively, certifications are earned through passing a related exam and help to prove that you’re qualified for the related position or field.
Importance of Big Data Certifications
Big data certifications attest to your knowledge and skills, which gives you a professional advantage over candidates without one. They’re incredibly reputable in the tech industry and acknowledged by employers, which makes earning one even more valuable. They can also be used to advance a current tech position.
Why You Should Take Online Big Data Courses or Classes
Online big data courses and classes provide a convenient and efficient way of developing or advancing your big data education or career. Each program offers something slightly different and unique, and ranges in terms of curricula focus. Whether you’re learning from scratch or building on your existing knowledge base, there is an online program that’s just right for you.
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