Best Big Data Courses to Learn in March 2025
Looking to enhance your skills? We’ve curated a list of the top-rated big data courses available this month. These courses are highly rated by students and offer comprehensive learning experiences.
10. 2025 Tableau Certified Data Analyst Training
Instructor: Jed Guinto
(+40 Hours of Content) Tableau Public, Desktop, Prep, Online, Server, Bridge, Certifications
Course Highlights:
- Rating: 4.68 ⭐ (13017 reviews)
- Students Enrolled: 86291
- Course Length: 199691 hours
- Number of Lectures: 523
- Number of Quizzes: 26
2025 Tableau Certified Data Analyst Training, has an average rating of 4.68, with 523 lectures, 26 quizzes, based on 13017 reviews, and has 86291 subscribers.
You will learn about Gain a deep understanding of Tableau Public, Desktop, Prep, Online, Server, and Bridge from the perspective of a Professional Analyst Master the skills needed to create visually appealing and interactive data visualizations using Tableau Learn advanced techniques to manipulate and transform data in Tableau Prep Acquire the knowledge to publish and share data visualizations on Tableau Public, Tableau Online and Tableau Server Develop expertise in connecting to various data sources and creating data connections in Tableau Learn to build dynamic dashboards and interactive reports for effective data analysis and storytelling Discover best practices for designing intuitive and engaging data visualizations Understand the principles of data storytelling and how to effectively communicate insights through Tableau Prepare for Tableau certifications and gain confidence in passing them Increase your employability by understanding what employers and stakeholders value This course is ideal for individuals who are Individuals who are new to Tableau and want to learn data analysis and visualization from scratch or Professionals in various fields who need to work with data and want to enhance their data analysis skills or Data enthusiasts who are interested in exploring data visualization techniques using Tableau or Students pursuing degrees or careers in data science, business analytics, or related fields or Business professionals who want to leverage Tableau for creating visually appealing dashboards and reports or Data analysts who want to expand their skill set and gain expertise in Tableau's advanced features or Researchers who need to present data in a compelling and interactive way or Consultants and decision-makers who want to effectively communicate insights using data visualizations or Freelancers or entrepreneurs who wish to offer Tableau data analysis services to clients or Anyone with a curiosity and passion for working with data and exploring its patterns and insights It is particularly useful for Individuals who are new to Tableau and want to learn data analysis and visualization from scratch or Professionals in various fields who need to work with data and want to enhance their data analysis skills or Data enthusiasts who are interested in exploring data visualization techniques using Tableau or Students pursuing degrees or careers in data science, business analytics, or related fields or Business professionals who want to leverage Tableau for creating visually appealing dashboards and reports or Data analysts who want to expand their skill set and gain expertise in Tableau's advanced features or Researchers who need to present data in a compelling and interactive way or Consultants and decision-makers who want to effectively communicate insights using data visualizations or Freelancers or entrepreneurs who wish to offer Tableau data analysis services to clients or Anyone with a curiosity and passion for working with data and exploring its patterns and insights.
Learn More About 2025 Tableau Certified Data Analyst Training
What You Will Learn
- Gain a deep understanding of Tableau Public, Desktop, Prep, Online, Server, and Bridge from the perspective of a Professional Analyst
- Master the skills needed to create visually appealing and interactive data visualizations using Tableau
- Learn advanced techniques to manipulate and transform data in Tableau Prep
- Acquire the knowledge to publish and share data visualizations on Tableau Public, Tableau Online and Tableau Server
- Develop expertise in connecting to various data sources and creating data connections in Tableau
- Learn to build dynamic dashboards and interactive reports for effective data analysis and storytelling
- Discover best practices for designing intuitive and engaging data visualizations
- Understand the principles of data storytelling and how to effectively communicate insights through Tableau
- Prepare for Tableau certifications and gain confidence in passing them
- Increase your employability by understanding what employers and stakeholders value
9. PySpark – Apache Spark Programming in Python for beginners
Instructor: Prashant Kumar Pandey
Master Apache Spark Programming in Python (PySpark) Using Free Databricks Community for Beginners with Capstone Project
Course Highlights:
- Rating: 4.56 ⭐ (12033 reviews)
- Students Enrolled: 70531
- Course Length: 50925 hours
- Number of Lectures: 94
- Number of Quizzes: 9
PySpark – Apache Spark Programming in Python for beginners, has an average rating of 4.56, with 94 lectures, 9 quizzes, based on 12033 reviews, and has 70531 subscribers.
You will learn about Apache Spark Foundation and Spark Architecture Data Engineering and Data Processing in Spark Working with Data Sources and Sinks Working with Data Frames and Spark SQL Using PyCharm IDE for Spark Development and Debugging Unit Testing, Managing Application Logs and Cluster Deployment This course is ideal for individuals who are Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark or Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark It is particularly useful for Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark or Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark.
Learn More About PySpark – Apache Spark Programming in Python for beginners
What You Will Learn
- Apache Spark Foundation and Spark Architecture
- Data Engineering and Data Processing in Spark
- Working with Data Sources and Sinks
- Working with Data Frames and Spark SQL
- Using PyCharm IDE for Spark Development and Debugging
- Unit Testing, Managing Application Logs and Cluster Deployment
8. Data Management Masterclass – The Complete Course
Instructor: George Smarts
Practical Data Management Course. Learn the best practices and specifics for every Data Management subject area (CDMP)
Course Highlights:
- Rating: 4.53 ⭐ (4296 reviews)
- Students Enrolled: 26001
- Course Length: 59215 hours
- Number of Lectures: 233
- Number of Quizzes: 15
Data Management Masterclass – The Complete Course, has an average rating of 4.53, with 233 lectures, 15 quizzes, based on 4296 reviews, and has 26001 subscribers.
You will learn about What is Data Management from A to Z All the different Data Management subject areas Best Practices on Data Management from the Industry How to implement Data Management practices within your organization This course is ideal for individuals who are Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management It is particularly useful for Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management.
Learn More About Data Management Masterclass – The Complete Course
What You Will Learn
- What is Data Management from A to Z
- All the different Data Management subject areas
- Best Practices on Data Management from the Industry
- How to implement Data Management practices within your organization
7. AWS Certified Data Engineer Associate 2025 – Hands On!
Instructor: Sundog Education by Frank Kane
AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
Course Highlights:
- Rating: 4.61 ⭐ (7431 reviews)
- Students Enrolled: 67030
- Course Length: 78335 hours
- Number of Lectures: 293
- Number of Quizzes: 19
AWS Certified Data Engineer Associate 2025 – Hands On!, has an average rating of 4.61, with 293 lectures, 19 quizzes, based on 7431 reviews, and has 67030 subscribers.
You will learn about Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam Design and implement data pipelines with AWS to ingest, store, and transform data Choose and design data stores, data models, data schemas, and data lifecycles. Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more Apply security, governance, and privacy best practices to your AWS data pipelines. Create data lakes with S3, Glue, Redshift and more Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more This course is ideal for individuals who are Technologists seeking certification in data engineering technologies on Amazon Web Services It is particularly useful for Technologists seeking certification in data engineering technologies on Amazon Web Services.
Learn More About AWS Certified Data Engineer Associate 2025 – Hands On!
What You Will Learn
- Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam
- Design and implement data pipelines with AWS to ingest, store, and transform data
- Choose and design data stores, data models, data schemas, and data lifecycles.
- Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more
- Apply security, governance, and privacy best practices to your AWS data pipelines.
- Create data lakes with S3, Glue, Redshift and more
- Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more
6. 100 Days of Code: The Complete Python Pro Bootcamp
Instructor: Dr. Angela Yu, Developer and Lead Instructor
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
Course Highlights:
- Rating: 4.7 ⭐ (355309 reviews)
- Students Enrolled: 1519917
- Course Length: 187171 hours
- Number of Lectures: 653
- Number of Quizzes: 43
100 Days of Code: The Complete Python Pro Bootcamp, has an average rating of 4.7, with 653 lectures, 43 quizzes, based on 355309 reviews, and has 1519917 subscribers.
You will learn about You will master the Python programming language by building 100 unique projects over 100 days. You will learn automation, game, app and web development, data science and machine learning all using Python. You will be able to program in Python professionally You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib. Create a portfolio of 100 Python projects to apply for developer jobs Be able to build fully fledged websites and web apps with Python Be able to use Python for data science and machine learning Build games like Blackjack, Pong and Snake using Python Build GUIs and Desktop applications with Python This course is ideal for individuals who are If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you want to start your own startup by building your own websites and web apps. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up. It is particularly useful for If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you want to start your own startup by building your own websites and web apps. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up.
Learn More About 100 Days of Code: The Complete Python Pro Bootcamp
What You Will Learn
- You will master the Python programming language by building 100 unique projects over 100 days.
- You will learn automation, game, app and web development, data science and machine learning all using Python.
- You will be able to program in Python professionally
- You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
- Create a portfolio of 100 Python projects to apply for developer jobs
- Be able to build fully fledged websites and web apps with Python
- Be able to use Python for data science and machine learning
- Build games like Blackjack, Pong and Snake using Python
- Build GUIs and Desktop applications with Python
5. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
Instructor: Navdeep Kaur
Full Hands on course to become Big Data Engineer: Spark/Kafka/Hadoop/Flume/Hive/Sqoop/MongoDB. Data Engineering course.
Course Highlights:
- Rating: 4.58 ⭐ (1881 reviews)
- Students Enrolled: 16145
- Course Length: 43036 hours
- Number of Lectures: 159
- Number of Quizzes: 0
Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB, has an average rating of 4.58, with 159 lectures, based on 1881 reviews, and has 16145 subscribers.
You will learn about Hadoop Ecosystem, Sqoop, Flume, Hive Expertise on writing code with Apache Spark Learn Kafka Fundamentals and using Kafka Connectors Learn writing queries and client in MongoDB Learn Data Engineering technologies This course is ideal for individuals who are Who want to learn Big data technologies or Who want to become Data Engineers It is particularly useful for Who want to learn Big data technologies or Who want to become Data Engineers.
Learn More About Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
What You Will Learn
- Hadoop Ecosystem, Sqoop, Flume, Hive
- Expertise on writing code with Apache Spark
- Learn Kafka Fundamentals and using Kafka Connectors
- Learn writing queries and client in MongoDB
- Learn Data Engineering technologies
4. Data Lake Mastery: The Key to Big Data & Data Engineering
Instructor: Nikolai Schuler
Data Lake Mastery using AWS: A Shortcut to Success in Big Data, Cloud Data Engineering and Data Architecture
Course Highlights:
- Rating: 4.71 ⭐ (378 reviews)
- Students Enrolled: 4587
- Course Length: 36719 hours
- Number of Lectures: 97
- Number of Quizzes: 18
Data Lake Mastery: The Key to Big Data & Data Engineering, has an average rating of 4.71, with 97 lectures, 18 quizzes, based on 378 reviews, and has 4587 subscribers.
You will learn about Master the complete implementation of full-scale Data Lake solutions in the cloud Apply Data Lake concepts professionally in cloud data engineering Create a multi-layered security strategy for Data Lake protection Design & implement efficient data ingestion strategies in AWS Master Data Lake Architecture for effective cloud implementations Master Data Lake Governance & Security Master Leadership & Strategy Essentials for Successful Data Lakes Learn comprehensive access control strategies within Data Lakes Understand and implement robust monitoring and security in Data Lakes Enhance your career prospects with advanced Data Lake skills and knowledge This course is ideal for individuals who are Aspiring Data Engineers looking to start or advance their career or Cloud Technology Enthusiasts with an interest in Big Data or IT Professionals who want to expand their skillset to include Data Lake skills or Anyone that wants to add Data Lake skills to their skillset It is particularly useful for Aspiring Data Engineers looking to start or advance their career or Cloud Technology Enthusiasts with an interest in Big Data or IT Professionals who want to expand their skillset to include Data Lake skills or Anyone that wants to add Data Lake skills to their skillset.
Learn More About Data Lake Mastery: The Key to Big Data & Data Engineering
What You Will Learn
- Master the complete implementation of full-scale Data Lake solutions in the cloud
- Apply Data Lake concepts professionally in cloud data engineering
- Create a multi-layered security strategy for Data Lake protection
- Design & implement efficient data ingestion strategies in AWS
- Master Data Lake Architecture for effective cloud implementations
- Master Data Lake Governance & Security
- Master Leadership & Strategy Essentials for Successful Data Lakes
- Learn comprehensive access control strategies within Data Lakes
- Understand and implement robust monitoring and security in Data Lakes
- Enhance your career prospects with advanced Data Lake skills and knowledge
3. The Data Science Course: Complete Data Science Bootcamp 2025
Instructor: 365 Careers
Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
Course Highlights:
- Rating: 4.59 ⭐ (150427 reviews)
- Students Enrolled: 744590
- Course Length: 112585 hours
- Number of Lectures: 553
- Number of Quizzes: 277
The Data Science Course: Complete Data Science Bootcamp 2025, has an average rating of 4.59, with 553 lectures, 277 quizzes, based on 150427 reviews, and has 744590 subscribers.
You will learn about The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations This course is ideal for individuals who are You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About The Data Science Course: Complete Data Science Bootcamp 2025
What You Will Learn
- The course provides the entire toolbox you need to become a data scientist
- Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
- Impress interviewers by showing an understanding of the data science field
- Learn how to pre-process data
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
- Start coding in Python and learn how to use it for statistical analysis
- Perform linear and logistic regressions in Python
- Carry out cluster and factor analysis
- Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
- Apply your skills to real-life business cases
- Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
- Unfold the power of deep neural networks
- Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
- Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
2. The Ultimate Hands-On Hadoop: Tame your Big Data!
Instructor: Sundog Education by Frank Kane
Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!
Course Highlights:
- Rating: 4.62 ⭐ (30608 reviews)
- Students Enrolled: 186276
- Course Length: 52037 hours
- Number of Lectures: 110
- Number of Quizzes: 0
The Ultimate Hands-On Hadoop: Tame your Big Data!, has an average rating of 4.62, with 110 lectures, based on 30608 reviews, and has 186276 subscribers.
You will learn about Design distributed systems that manage "big data" using Hadoop and related data engineering technologies. Use HDFS and MapReduce for storing and analyzing data at scale. Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways. Analyze relational data using Hive and MySQL Analyze non-relational data using HBase, Cassandra, and MongoDB Query data interactively with Drill, Phoenix, and Presto Choose an appropriate data storage technology for your application Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie. Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume Consume streaming data using Spark Streaming, Flink, and Storm This course is ideal for individuals who are Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale. or Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop. or Data analysts and database administrators who are curious about Hadoop and how it relates to their work. or System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together. It is particularly useful for Software engineers and programmers who want to understand the larger Hadoop ecosystem, and use it to store, analyze, and vend "big data" at scale. or Project, program, or product managers who want to understand the lingo and high-level architecture of Hadoop. or Data analysts and database administrators who are curious about Hadoop and how it relates to their work. or System architects who need to understand the components available in the Hadoop ecosystem, and how they fit together.
Learn More About The Ultimate Hands-On Hadoop: Tame your Big Data!
What You Will Learn
- Design distributed systems that manage "big data" using Hadoop and related data engineering technologies.
- Use HDFS and MapReduce for storing and analyzing data at scale.
- Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
- Analyze relational data using Hive and MySQL
- Analyze non-relational data using HBase, Cassandra, and MongoDB
- Query data interactively with Drill, Phoenix, and Presto
- Choose an appropriate data storage technology for your application
- Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
- Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
- Consume streaming data using Spark Streaming, Flink, and Storm
1. Big Data Engineering Bootcamp with GCP, and Azure Cloud
Instructor: Krish Naik
Master Big Data with Hadoop, Spark, Kafka & Cloud | Build Real-World Projects & Scalable Data Pipelines from Scratch
Course Highlights:
- Rating: 4.73 ⭐ (144 reviews)
- Students Enrolled: 2538
- Course Length: 239755 hours
- Number of Lectures: 288
- Number of Quizzes: 0
Big Data Engineering Bootcamp with GCP, and Azure Cloud, has an average rating of 4.73, with 288 lectures, based on 144 reviews, and has 2538 subscribers.
You will learn about Learn Hadoop, Spark, and Kafka from scratch, understanding the 3Vs (Volume, Velocity, Variety) and their real-world applications. Master ETL workflows, data ingestion, transformation, and storage using Apache Spark, Airflow,Kafka, and distributed systems. Deploy & manage Big Data solutions on Azure, and GCP Work on real-world Big Data projects, implementing scalable architectures, data pipelines, and analytics using industry tools. This course is ideal for individuals who are Beginners & Freshers – Anyone new to Big Data who wants to start their career in data engineering, data science, or cloud computing. or Software Developers – Developers looking to expand their skills into Big Data frameworks like Hadoop, Spark, and Kafka for scalable applications. or Data Analysts & Data Scientists – Professionals who want to work with large datasets, ETL pipelines, and real-time processing in Big Data environments. or Cloud & DevOps Engineers – Engineers who want to learn how to deploy and manage Big Data solutions on Azure, and GCP. or Experienced Professionals – IT professionals looking to transition into Big Data Engineering and work on real-world projects with cutting-edge tools. It is particularly useful for Beginners & Freshers – Anyone new to Big Data who wants to start their career in data engineering, data science, or cloud computing. or Software Developers – Developers looking to expand their skills into Big Data frameworks like Hadoop, Spark, and Kafka for scalable applications. or Data Analysts & Data Scientists – Professionals who want to work with large datasets, ETL pipelines, and real-time processing in Big Data environments. or Cloud & DevOps Engineers – Engineers who want to learn how to deploy and manage Big Data solutions on Azure, and GCP. or Experienced Professionals – IT professionals looking to transition into Big Data Engineering and work on real-world projects with cutting-edge tools.
Learn More About Big Data Engineering Bootcamp with GCP, and Azure Cloud
What You Will Learn
- Learn Hadoop, Spark, and Kafka from scratch, understanding the 3Vs (Volume, Velocity, Variety) and their real-world applications.
- Master ETL workflows, data ingestion, transformation, and storage using Apache Spark, Airflow,Kafka, and distributed systems.
- Deploy & manage Big Data solutions on Azure, and GCP
- Work on real-world Big Data projects, implementing scalable architectures, data pipelines, and analytics using industry tools.
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