Are you looking for the Best Online Courses on Big Data Analytics?, If yes, then read this article. In this article, I have listed the 10 best online courses on Big Data after filtering out hundreds of courses. So, give your few minutes to this article and find out the Best Online Courses on Big Data Analytics for you.
In a Hurry?… Jump directly to the Courses here
Best Online Courses on Big Data Analytics
Before moving to the Online Courses on Big Data, let’s see Why Big Data and What skills are required for Big Data?
Data is increasing very fast. According to one report, By 2025, it’s estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day!
But Big Data Analytics is changing the meaning of data. There is a huge demand for Big Data Analysts in every field. Gartner is predicting that companies that aren’t investing heavily in analytics by the end of 2020 may not be in business in 2021.
In Big Data Analytics, demand is high and supply is low. And this is the reason for High Pay in Big Data Jobs. As you can see the average annual salary of Big Data Jobs in the following image-
But getting a job in Big Data required some set of skills. These skills are-
- Apache Hadoop
- Apache Spark
- NoSQL
- SQL
- Machine learning and Data Mining
- Data Visualization
- Programming Languages (Most important languages- Python, R, and Java)
- Statistical and Quantitative Analysis
- Problem Solving
So, if you have these skills, then you are ready for the Big Data Job. In order to learn these skills, there are various resources available. But the most popular resource is the Online Courses.
Choosing the best Big Data online course is also confusing. That’s why I have selected some best Big Data online courses after filtering out thousands of courses.
I have filtered these courses on following criteria-
Criteria-
- Rating of these Courses.
- Coverage of Topics.
- Engaging trainer and Interesting lectures.
- Number of Students Benefitted.
- Good Reviews from various aggregators and forums.
So, without wasting your time, let’s start finding the Best Online Course on Big Data Analytics for you.
Courses List-
- 1. Big Data Specialization- Coursera
- 2. Modern Big Data Analysis with SQL Specialization– Coursera
- 3. Become a Data Engineer– Udacity
- 4. Data Engineering, Big Data, and Machine Learning on GCP Specialization- Coursera
- 5. Big Data with PySpark- DataCamp
- 6. MicroMasters® Program in Big Data- edX
- 7. Big Data Hadoop Certification Training- Edureka
- 8. Big Data Architect Masters Program- Edureka
- 9. Hadoop Developer In Real World- Udemy
- 10. Apache Spark with Scala – Hands On with Big Data!- Udemy
- Conclusion
- FAQ
1. Big Data Specialization– Coursera
Provider- University of California San Diego
Rating- 4.5/5
In this specialization program, you will get a good understanding of what insights big data can provide via hands-on experience with the tools and systems used by big data scientists and engineers.
There is no previous knowledge of programming required. You will learn through the basics of using Hadoop with MapReduce, Spark, Pig, and Hive.
This specialization course is a 6 Course Series.
NOTE- You can also enroll for any single course within these 6 courses. And after completing the course and hands-on project, you will get a certificate. But completing the full program is beneficial for you.
Let’s see What skills will you gain after completing this specialization program-
- Big Data
- Neo4j
- MongoDB
- Apache Spark
- Apache Hadoop
- Mapreduce
- Cloudera
- Data Model
- Data Modeling
- Data Management
- Splunk
- Machine Learning Concepts
Extra Benefits-
- You will earn Shareable Specialization and Course Certificates.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Now, let’s see whether you should enroll in this Specialization Program or not?
Who should Enroll?
- Anyone who is new to data science. No prior programming knowledge is required.
What’s the Price?
- 7 Day Full Access Free Trial and after that 49$/month
Time to Complete-
- Approximately, it would take 8 months to complete the entire specialization program( all 6 courses).
Interested to Enroll?
If yes, then check out all details here- Big Data Specialization
2. Modern Big Data Analysis with SQL Specialization– Coursera
Rating- 4.8/5
Provider- Cloudera
If you want to gain the skills necessary to query big data with modern distributed SQL engines, then this specialization is for you. The best part of this course is that it will teach you a newer breed of SQL engine: distributed query engines Hive, Impala, Presto, and Drill.
Hive and Impala are open-source SQL engines capable of querying enormous datasets. Another advantage of this specialization program is that this program provides excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam.
This Specialization program consist of 3 Courses.
Courses include-
- Foundations for Big Data Analysis with SQL
- Analyzing Big Data with SQL
- Managing Big Data in Clusters and Cloud Storage
Now, let’s see what Big Data Skills you will gain after completing this specialization program-
Skills Gain-
- Cloud Storage
- Data Analysis
- Big Data
- Cloudera
- SQL
- Database (DBMS)
- Data Warehousing
- Apache Hive
- Apache Impala
- Data Management
- Distributed File Systems
Extra Benefits-
- You will earn a Shareable Certificate.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who should Enroll?
- Anyone who is willing to learn Big Data can enroll in this specialization program. No prior experience required for enrolling in this program.
What’s the Price?
- 7 Day Full Access Free Trial and after that 49$/month.
Time to Complete?
- Approximately, it would take 4 months to complete the entire specialization program( all 3 courses).
Interested to Enroll?
If yes, then check out all details here- Modern Big Data Analysis with SQL Specialization
3. Become a Data Engineer– Udacity
Rating- 4.5/5
Provider- Udacity
Time to Complete- 5 Months
This Nano-degree program is one of the best courses for data engineers. In this program, you will learn how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of this program, you will work on real-world projects.
Courses list-
- Course 1: Data Modeling
- Course 2: Cloud Data Warehouses
- Course 3: Spark and Data Lakes
- Course 4: Automate Data Pipelines
- Course 5: Capstone Project
Extra Benefits-
- You will get a chance to work on Real-world projects from industry experts.
- You will get Project feedback from experienced reviewers.
- You will also get Technical mentor support.
- Along with that, you will get a Github review,
- LinkedIn profile review.
Who Should Enroll?
- Who has Intermediate level knowledge of Python & SQL.
Interested to Enroll?
If yes, then check it out here- Become a Data Engineer
4. Data Engineering, Big Data, and Machine Learning on GCP Specialization– Coursera
Rating- 4.6/5
Provider- Google Cloud
This specialization program will provide you a hands-on introduction to designing and building data pipelines on the Google Cloud Platform. In this program, you will learn how to design data processing systems, build end-to-end data pipelines, analyze data, and derive insights via presentations, demos, and hands-on labs.
This specialization program is a 5 Course Series.
Now, let’s see what Big Data Skills you will gain after completing this specialization program-
Skills Gain-
- How to Design and build data pipelines on Google Cloud Platform
- Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
- Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
- Manage your data Pipelines with Data Fusion and Cloud Composer.
- Derive business insights from extremely large datasets using Google BigQuery
- Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.
- Enable instant insights from streaming data
Extra Benefits-
- You will earn Shareable Specialization and Course Certificates.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who should Enroll?
- Who has 1 or more year of experience in one or more of the following-
- A common query language such as SQL
- Extract, transform, load activities
- Data modeling
- Machine learning and/or statistics
- Programming in Python
What’s the Price?
- 7 Day Full Access Free Trial and after that 49$/month.
Time to Complete?
- Approximately, it would take 3 months to complete the entire specialization program( all 5 courses).
Interested to Enroll?
If yes, then check out all details here- Data Engineering, Big Data, and Machine Learning on GCP Specialization
5. Big Data with PySpark– DataCamp
Time to Complete- 24 hours
This is a skill track offered by Datacamp. In this skill track, you will learn Apache Spark. This skill track will teach fundamentals of Big Data via PySpark, how to clean data with Apache Spark in Python, and gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
You will also learn how to get data into Spark and then delve into the three fundamental Spark Machine Learning algorithms- Linear Regression, Logistic Regression or Classifiers, and creating pipelines. Then you will learn how to build recommendation engines using Alternating Least Squares in PySpark.
Who Should Enroll?
- Those who have some previous working knowledge in Python.
Interested to Enroll?
If yes, then check out the course details here- Big Data with PySpark
6. MicroMasters® Program in Big Data– edX
Provider- University of Adelaide
Time to Complete- 1 year (If you spend 7 – 9 hours per week)
This is a Micro Masters program, where you will learn various tools and analytical methods to use data for decision-making. First, you will learn how to use fundamental programming concepts, computational thinking, and data analysis techniques to solve real-world data science problems.
Then you will learn how to collect, clean, and consolidate large-scale datasets. After that, you will get to know about big data fundamentals and essential analytical tools and techniques, including data mining and PageRank algorithms.
You will also learn R and Apache Spark, to analyze large-scale data sets. After completing the learning phase, you will apply your skills to a real-world data science project. There is a total of 5 courses in this Micro Masters program. Now let’s see the details of the courses-
Course Details-
- Programming for Data Science
- Computational Thinking and Big Data
- Big Data Fundamentals
- Big Data Analytics
- Big Data Capstone Project
Who Should Enroll?
- Anyone can enroll. There is no prerequisite.
Interested to Enroll?
If yes, then check out the program details here- MicroMasters® Program in Big Data
7. Big Data Hadoop Certification Training– Edureka
Rating- 4.9/5
This certification program is listed as Bestseller at Edureka. This certification training will provide in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume, and Sqoop.
Along with that, you will work on real-life industry use cases in the Retail, Social Media, Aviation, Tourism, and Finance domains.
Syllabus of the Course-
- Understanding Big Data and Hadoop
- Hadoop Architecture and HDFS
- Hadoop MapReduce Framework
- Advanced Hadoop MapReduce
- Apache Pig
- Apache Hive
- Advanced Apache Hive and HBase
- Advanced Apache HBase
- Processing Distributed Data with Apache Spark
- Oozie and Hadoop Project
- Certification Project
Skills Gain-
- Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management.
- Understand MapReduce Framework
- Implement complex business solution using MapReduce
- Learn data ingestion techniques using Sqoop and Flume
- Perform ETL operations & data analytics using Pig and Hive
- Implementing Partitioning, Bucketing, and Indexing in Hive
- Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms
- Integrate HBase with Hive
- Schedule jobs using Oozie
- Implement best practices for Hadoop development
- Understand Apache Spark and its Ecosystem
- Learn how to work with RDD in Apache Spark
- Work on real-world Big Data Analytics Project
- Work on a real-time Hadoop cluster
Extra Benefits-
- You will get a Big Data Expert Certification from Edureka.
- You will get lifetime access to presentations, quizzes, installation guides.
- Along with that, you will get a chance to work with Real-life Case Studies.
Who should Enroll?
- There is no prerequisite for enrolling in this course. Anyone who is willing to learn Big Data can enroll.
Interested to Enroll?
If yes, then check out all details here-Big Data Hadoop Certification Training
8. Big Data Architect Masters Program– Edureka
Rating- 4.4/5
This is the Master’s Program for Big Data. This program will teach you the tools and systems used by Big Data experts. It includes training on Hadoop and Spark stack, Cassandra, Talend, and Apache Kafka messaging system.
This Program has 10 courses-
- Java Essentials
- Big Data Hadoop Certification Training
- Apache Spark and Scala Certification Training
- Apache Cassandra Certification Training
- Talend for Data Integration and Big data
- Apache Kafka Certification Training
- Apache Storm Certification Training
- MongoDB® Training And Certification
- MapReduce Design Patterns Certification
- Big Data Master Program Capstone Project
Extra Benefits-
- You will get a Big Data Architect Certificate.
- You will get lifetime access to presentations, quizzes, installation guides.
- Along with that, you will get a Personal Learning Manager who will answer all your queries.
Who should Enroll?
- There are no prerequisites for enrolling in this program. Anyone can enroll whether an experienced professional working in the IT industry or an aspirant planning to enter the data-driven world of analytics.
Interested to Enroll?
If yes, then check out all details here- Big Data Architect Masters Program
9. Hadoop Developer In Real World– Udemy
Rating- 4.6/5
Provider- Hadoop In Real World
This course is listed as Highest Rated in Udemy. This course will cover all the important topics like HDFS, MapReduce, YARN, Apache Pig and Hive, etc. The best part about this course is that this course not only gives basic knowledge of concepts but also explores concepts in deep.
In this course, you will understand what is Big Data, the challenges with Big Data, and how Hadoop proposes a solution for the Big Data problem. This course covers important and complex topics like file formats, custom Writables, input/output formats, troubleshooting, optimizations, etc.
You will work on hands-on projects like analyzing the million song dataset to find less familiar artists with hot songs, ranking pages with page dump from Wikipedia, simulating mutual friends functionality in Facebook.
Topics Covered-
- Introduction to Big Data.
- HDFS
- MapReduce
- Apache Pig
- Apache Hive
- Hive Windows and Analytical Functions
- Architecture
- Cluster Setup
- Hadoop Administrator in Real World
- File Formats
- Troubleshooting and Optimizations
- Apache Sqoop
- Apache Flume
- Kafka
Extra Benefits-
- You will get a Certificate of completion.
- Along with that, you will get full lifetime access, 4 articles, and 88 downloadable resources.
Who Should Enroll?
- Anyone who wants to learn and understand in depth about Hadoop and Big Data or who aspire to a career as a Hadoop Developer.
Time to Complete-
- This course will take approximately 20.5 Hours to complete.
Interested to Enroll?
If yes, then check out all details here- Hadoop Developer In Real World
10. Apache Spark with Scala – Hands On with Big Data!– Udemy
Rating- 4.5/5
Provider- Sundog Education by Frank Kane
This course will teach you the hottest technology in big data: Apache Spark using the Scala programming language. In this course, you will learn How to frame big data analysis problems as Apache Spark scripts, Build, deploy, and run Spark scripts on Hadoop clusters, and etc.
Topics Covered-
- Introduction
- Scala Crash Course
- Spark Basics and Simple Examples
- Advanced Examples of Spark Programs.
- Running Spark on a Cluster.
- SparkSQL, DataFrames, and DataSets
- Machine Learning with MLLib
- Intro to Spark Streaming
- Intro to GraphX
Extra Benefits-
- You will get a Certificate of completion.
- Along with that, you will get full lifetime access, and 3 articles.
Who Should Enroll?
- Software engineers who want to expand their skills into the world of big data with some prior programming or scripting experience.
Time to Complete-
- This course will take approximately 7.5 Hours to complete.
Interested to Enroll?
If yes, then check out all details here- Apache Spark with Scala – Hands On with Big Data!
So, these are the 10 Best Online Courses on Big Data Analytics. Now, it’s time to wrap up.
Conclusion
I hope these Online Courses on Big Data will help you to start your Big Data Journey. My aim is to provide you the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.
Tell me in the comment section, which course you like.
All the Best!
Happy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.