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Course Outline
Getting Started with AWS Cloud9 for Data Science
- Key features of AWS Cloud9 relevant to data science
- Initializing a data science workspace in AWS Cloud9
- Configuring Cloud9 for Python, R, and Jupyter Notebook usage
Data Ingestion and Preparation
- Importing and cleaning data from diverse sources
- Leveraging AWS S3 for data storage and retrieval
- Preparing data for analytical and modeling purposes
Data Analysis within AWS Cloud9
- Conducting exploratory data analysis with Python and R
- Utilizing Pandas, NumPy, and data visualization libraries
- Performing statistical analysis and hypothesis testing in Cloud9
Machine Learning Model Development
- Creating machine learning models using Scikit-learn and TensorFlow
- Training and assessing models within AWS Cloud9
- Integrating SageMaker with Cloud9 for large-scale model development
Database Integration and Management
- Connecting AWS RDS and Redshift with AWS Cloud9
- Querying large datasets using SQL and Python
- Managing big data workloads with AWS services
Model Deployment and Optimization
- Deploying machine learning models via AWS Lambda
- Automating deployment processes with AWS CloudFormation
- Tuning data pipelines for improved performance and cost-efficiency
Collaborative Development and Security
- Collaborating on data science projects within Cloud9
- Employing Git for version control and project management
- Implementing security best practices for data and models in AWS Cloud9
Conclusion and Future Steps
Requirements
- Foundational knowledge of data science principles
- Working knowledge of Python programming
- Prior experience with cloud environments and AWS services
Target Audience
- Data scientists
- Data analysts
- Machine learning engineers
28 Hours
Testimonials (2)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
I've find out new interesting things about Lambda and Serverless
