Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "databricks cli"
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
University of California, Davis
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Query Languages, Data Manipulation
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Cloud Computing, Data Processing, SQL, Scalability
Skills you'll gain: Databricks, Microsoft Azure, Data Science, Big Data, MLOps (Machine Learning Operations), Predictive Modeling, Data Processing, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Performance Tuning
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Real Time Data, Data Mart, Big Data, Performance Tuning, Databases, Scalability
Skills you'll gain: Operating Systems, File Systems, Linux Commands, Linux, SQL, Unix Shell, Query Languages, Database Management, Command-Line Interface, Relational Databases, Authorization (Computing), Authentications, User Accounts
Skills you'll gain: MongoDB, Node.JS, Angular, Restful API, API Design, NoSQL, Bootstrap (Front-End Framework), Database Development, Scalability, JavaScript Frameworks, Authentications, Web Applications, JSON, Javascript and jQuery, Database Management, Authorization (Computing), Web Development Tools, Web Design and Development, Web Development, Postman API Platform
Google Cloud
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Processing, Apache Hadoop, Apache Spark, Big Data, Data Transformation, Cloud Computing, Cloud Services
Skills you'll gain: Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Apache Spark, Cloud Storage, Databases, Data Lakes, Business Intelligence, Big Data, Data Storage, Extract, Transform, Load, Data Integration, Data Processing, Data Pipelines
In summary, here are 10 of our most popular databricks cli courses
- Create Machine Learning Models in Microsoft Azure:Â Microsoft
- Learn SQL Basics for Data Science:Â University of California, Davis
- Microsoft Azure Machine Learning for Data Scientists:Â Microsoft
- Modernizing Data Lakes and Data Warehouses with Google Cloud:Â Google Cloud
- Prepare for DP-100: Data Science on Microsoft Azure Exam:Â Microsoft
- Build and Operate Machine Learning Solutions with Azure:Â Microsoft
- Tools for Data Science:Â IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka:Â IBM
- Tools of the Trade: Linux and SQL:Â Google
- MEAN Stack Developer: MongoDB, ExpressJS, AngularJS & NodeJS:Â EDUCBA