Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

EDUCBA
Skills you'll gain: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms
Advanced · Specialization · 3 - 6 Months

Starweaver
Skills you'll gain: SQL, Business Intelligence, Jupyter, Python Programming
Advanced · Course · 1 - 4 Weeks

Georgia Institute of Technology
Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: ASP.NET, Data Migration, Configuration Management, Data Validation, Database Application, Middleware, Debugging, Back-End Web Development, Database Management, Data Modeling, Restful API, Maintainability, Dependency Analysis, Performance Tuning, Software Design Patterns
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Integration, File Management, Scalability, Data Processing, Context Management, Java, Data Transformation, Maintainability
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours