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Skills Covered in this Path
- Big Data basics
- Hadoop
- HDFS
- Hive basics
- Hive querying
- Hive data upload
- Hive simple operations
- Spark
- RDDs
- Hadoop
- Hadoop
- Spark
- Fundamnetals of Cloud
- Cloud's Significance
- Service Models
- Abstraction Levels
- SPIDERS Freameowrk
- Cloud Architecture
- Managed Services
- Resource Allocation
- Pricing and Scaling Models
- Cloud Virtualization
- Cloud Centralization
- Distributed Computing
- Cloud Applications
- Cloud Service Models
- Trends in Service Models
- Basics of Cloud Computing
- Cloud Computing Platforms
- Types of cloud deployment
- Cloud Computing Architecture
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Cloud Computing fundamentals
- AWS fundamentals
- AWS Management
- Understanding IaaS PaaS SaaS
- Cloud Deployment Models
- AWS Global Infrastructure
- AWS Core Services
- AWS Compute Services
- Scalability
- Flexibility
- Cost
- Security
- AWS Cloud Storage
- Database Services on AWS
- Understanding how to build an app on AWS
- Deploying the App
- Triggers
- Data Analysis
- SQL
- SQL with Python
- Introduction to Machine Learning
- Supervised Machine Learning
- Linear Regression
- Pearson's Coefficient
- Coefficient of Determinant
- Machine learning
- Cloud computing
- AWS services
- Building chatbots in Azure
- Building websites using Azure
- R programming fundamentals
- variables
- data types
- data structures
- control structures
- functions
- packages
- importing data into R
- manipulating data in R
- performing statistical analysis in R
- data cleaning and wrangling
- statistical modeling