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Results for "databricks notebooks"
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Data Storytelling, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, SQL
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Cloud API, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Natural Language Processing
Skills you'll gain: Cloud Storage, Data Storage, Microsoft Azure, Data Storage Technologies, Cloud Applications, Data Architecture, Cloud Security, Data Management, Application Development, Role-Based Access Control (RBAC), Unstructured Data, Encryption
- Status: New
Skills you'll gain: Power BI, Data Storytelling, Dashboard, Alteryx, Data Analysis Expressions (DAX), Pivot Tables And Charts, R Programming, Microsoft Excel, Data Visualization Software, Tableau Software, Data Transformation, Interactive Data Visualization, Business Reporting, Data Modeling, Excel Formulas, Automation, Python Programming, Programming Principles, Scripting, Debugging
Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Programming Principles, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)
Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning Software, Cloud Computing, Cloud Services, Machine Learning, Exploratory Data Analysis
Edureka
Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Analysis Software, Python Programming, Scalability
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
- Status: New
Microsoft
Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Personally Identifiable Information, Information Privacy, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load, Data Cleansing
DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning
In summary, here are 10 of our most popular databricks notebooks courses
- SQL for Data Science with R:Â IBM
- IBM AI Enterprise Workflow:Â IBM
- Introduction to Big Data with Spark and Hadoop:Â IBM
- Smart Analytics, Machine Learning, and AI on Google Cloud:Â Google Cloud
- Data Storage in Microsoft Azure for Associate Developers:Â Microsoft
- Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau:Â Packt
- Data Analysis with Pandas and Python:Â Packt
- Working with Notebooks in Vertex AI:Â Google Cloud
- Introduction to PySpark:Â Edureka
- Scalable Machine Learning on Big Data using Apache Spark:Â IBM