Hadoop courses can help you learn data processing, distributed storage, and big data analytics. You can build skills in writing MapReduce programs, managing Hadoop clusters, and utilizing HDFS for data storage. Many courses introduce tools like Apache Hive for data querying, Apache Pig for data manipulation, and Apache Spark for real-time processing, demonstrating how these skills are applied in handling large datasets and performing complex analyses.

Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Pandas (Python Package), Google Cloud Platform, Data Transformation, SQL, Analytics
Advanced · Course · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics
Intermediate · Guided Project · Less Than 2 Hours

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms
★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
★ 4.4 (318) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, Database Management Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis, Unstructured Data
★ 4.7 (1.1K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Cloud-Native Computing, Cloud Deployment, DevOps, CI/CD, Application Deployment, Devops Tools, Development Environment, Continuous Delivery, Cloud Applications, Amazon Elastic Compute Cloud, Real Time Data, Kibana, Query Languages, Data Modeling, Distributed Computing, SQL, Data Mapping, NoSQL, Event-Driven Programming, Relational Databases
★ 4.9 (18) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages, Cloud Storage
★ 4.5 (14) · Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Cloud-Based Integration, Real Time Data, Data Pipelines, Apache Spark, Google Cloud Platform, Data Integration, Data Transformation, Data Wrangling, Data Analysis, Data Visualization, Data Management
Beginner · Project · Less Than 2 Hours

KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Beginner · Course · 1 - 4 Weeks