Big Data Analytics courses can help you learn data mining, statistical analysis, data visualization, and predictive modeling. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Apache Hadoop, Spark, and Tableau, that support processing large datasets and visualizing trends, allowing you to apply your analytical skills in various business contexts.

Skills you'll gain: Dashboard, Web Scraping, Data Analysis, Data Presentation, Real Time Data, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Web Content Accessibility Guidelines, Time Series Analysis and Forecasting
Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, Pseudocode, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics
Beginner · Guided Project · Less Than 2 Hours

University of California, Davis
Skills you'll gain: Data Governance, Data Quality, Patient Communication, Data Validation, Data Management, Clinical Data Management, Health Information Management, Data Literacy, Medical Records, Metadata Management, Health Informatics, Change Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Google Cloud Platform, Data Lakes, Data Import/Export, Tensorflow, Operational Databases, Data Architecture, Data Warehousing, Extract, Transform, Load, Dashboard, Cloud Infrastructure, Apache Spark, Data Governance, Data Management, Big Data, Apache Airflow, Applied Machine Learning, PySpark
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Text Mining, Probability Distribution, Data Analysis, Network Analysis, Feature Engineering, Probability, Data Structures, Statistics, Data Visualization, Data Processing, Data Cleansing, Natural Language Processing
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Dataflow, PySpark, Data Lakes, Tensorflow, Apache Spark, Dashboard, Data Import/Export, Extract, Transform, Load, Data Processing, Data Governance, Metadata Management, Unstructured Data, Cloud Infrastructure, Big Data, Feature Engineering, Applied Machine Learning, Data Architecture
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Apache Kafka, Tensorflow, Query Languages, Apache Spark, Data Warehousing, SQL, Data Architecture, Big Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Processing, Data Infrastructure, Real Time Data, Extract, Transform, Load, PySpark, Unstructured Data
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
Advanced · Specialization · 3 - 6 Months