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Duration 28 hours
Course Outline
Introduction to AWS Cloud9 for Data Science
- Overview of AWS Cloud9 features relevant to data science
- Establishing a data science environment in AWS Cloud9
- Configuring Cloud9 for Python, R, and Jupyter Notebook
Data Ingestion and Preparation
- Importing and sanitizing data from diverse sources
- Utilizing AWS S3 for data storage and retrieval
- Preprocessing data for analytical and modeling purposes
Data Analysis in AWS Cloud9
- Conducting exploratory data analysis using Python and R
- Working with Pandas, NumPy, and data visualization libraries
- Performing statistical analysis and hypothesis testing in Cloud9
Machine Learning Model Development
- Building machine learning models using Scikit-learn and TensorFlow
- Training and evaluating models within AWS Cloud9
- Leveraging SageMaker with Cloud9 for large-scale model development
Database Integration and Management
- Integrating 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 using AWS Lambda
- Automating deployment processes using AWS CloudFormation
- Optimizing data pipelines for performance and cost-efficiency
Collaborative Development and Security
- Collaborating on data science projects within Cloud9
- Using Git for version control and project management
- Implementing security best practices for data and models in AWS Cloud9
Summary and Next Steps
Requirements
- Foundational knowledge of data science principles
- Proficiency in Python programming
- Practical experience with cloud computing environments and AWS services
Target Audience
- Data scientists
- Data analysts
- Machine learning engineers
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
