Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "exploratory data analysis in aws"
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Data Analysis, Data Processing, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
- Status: AI skills
Google Cloud
Skills you'll gain: Data Storytelling, Data Governance, Data Visualization, Data Management, Data Pipelines, Data Visualization Software, Dashboard, Data Lakes, Data Architecture, Cloud Infrastructure, Generative AI, Data Cleansing, Data Transformation, Cloud Computing, Data Access, Cloud Storage, Metadata Management, Data Ethics, Data Analysis, Google Cloud Platform
Skills you'll gain: Application Deployment, Amazon Web Services, Load Balancing, Google Cloud Platform, Amazon CloudWatch, Cloud Applications, Kubernetes, Application Performance Management, Virtual Machines, Cloud Storage, Cloud Computing Architecture, Virtual Private Networks (VPN), Public Cloud, Amazon S3, Hybrid Cloud Computing, Cloud Platforms, Identity and Access Management, Cloud Computing, Cloud Infrastructure, Containerization
LearnKartS
Skills you'll gain: Amazon S3, Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Infrastructure, Amazon Elastic Compute Cloud, Public Cloud, Cloud Security, Cloud Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Computing Architecture, Cloud Services, Relational Databases, Database Management, Data Storage, Network Architecture, Servers, Identity and Access Management, Cloud Management, Infrastructure As A Service (IaaS)
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
- Status: AI skills
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Statistical Modeling, Tidyverse (R Package), Feature Engineering, Ggplot2
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Excel Formulas, Presentations, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Big Data, Target Market, Data Cleansing, Public Speaking, Spreadsheet Software
Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Security, Serverless Computing, Cloud Storage, Databases, Virtual Private Networks (VPN), Load Balancing, General Networking, Virtual Machines, Containerization
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Solution Architecture, Cloud Computing Architecture, Cloud Solutions, Data Migration, Identity and Access Management, Cloud Storage, API Gateway, Cloud Management, Cloud Infrastructure, Cloud Security
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Big Data, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, Data Sharing, Statistical Reporting
In summary, here are 10 of our most popular exploratory data analysis in aws courses
- Process Data from Dirty to Clean: Google
- Google Cloud Data Analytics: Google Cloud
- Google Cloud Infrastructure for AWS Professionals: Google Cloud
- AWS Cloud Practitioner Certification: LearnKartS
- Introduction to Probability and Data with R: Duke University
- IBM Data Engineering: IBM
- Data Analysis with R: IBM
- Data Analysis and Presentation Skills: the PwC Approach: PwC
- AWS Cloud Technical Essentials: Amazon Web Services
- Data Science: Johns Hopkins University