Data Science Courses
Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. You can build skills in programming with Python or R, data cleaning, and interpreting complex datasets. Many courses introduce tools like SQL for database management, Tableau for visual storytelling, and TensorFlow for developing AI models, showing how these skills are applied in real-world projects.
Popular Data Science Courses and Certifications
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Reinforcement Learning, Agentic systems
Status: NewStatus: PreviewSkills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics
Status: PreviewGoogle Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Mobile Development Tools
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Debugging, Data Integrity, CI/CD, Performance Tuning, Data Processing, Maintainability, Real Time Data, Unit Testing, Disaster Recovery, Integration Testing
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics
Status: NewStatus: Free TrialSkills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Object Oriented Programming (OOP), Data Manipulation, Linear Algebra
Status: NewStatus: PreviewSkills you'll gain: Supervised Learning, Data-Driven Decision-Making
Status: NewStatus: PreviewSkills you'll gain: Data Mapping, Extract, Transform, Load, Data Validation, Workflow Management, JSON, Fraud detection, Extensible Markup Language (XML), Metadata Management, Process Design, Data Integration, Data Cleansing, Data Warehousing, Data Transformation, Data Pipelines, Data Processing, Data Integrity, Anomaly Detection, Data Modeling
Status: NewStatus: PreviewSkills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Keras (Neural Network Library), Data Transformation, Data Modeling, Machine Learning
Skills you'll gain: Dataflow, Data Pipelines, Site Reliability Engineering, Data Processing, Performance Tuning, Debugging, Data Integrity, CI/CD, Serverless Computing, Unit Testing, Disaster Recovery, Integration Testing
In summary, here are 10 of our most popular data science courses
- Q Learning in Reinforcement Training Basics: Simplilearn
- R: Design & Evaluate Random Forests for Attrition: EDUCBA
- Production Machine Learning Systems - Français: Google Cloud
- Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- Octave Programming: Analyze, Apply & Implement: EDUCBA
- Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
- CloverETL: Design, Analyze & Optimize Workflows: EDUCBA
- SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
- Production Machine Learning Systems - Português Brasileiro : Google Cloud
