DP-100 Designing and Implementing a Data Science Solution on Azure Training
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DP-100 Designing and Implementing a Data Science Solution on Azure Training
Order the DP-100 Designing and Implementing a Data Science Solution on Azure Training online now, including 1 year of 24/7 access to interactive e-learning, and a certificate of participation.
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DP-100 Designing and Implementing a Data Science Solution on Azure Training - OEM Certkit
- Language: English
- Target Audience: The target audience for DP-100, the Microsoft Azure Data Scientist Associate exam, consists of professionals interested in working as data scientists on the Azure platform. This course is designed for individuals who already have experience with data analysis and machine learning and want to apply their skills in the Azure environment. Typical audiences for DP-100 are data analysts, data engineers and machine learning professionals who want to extend their expertise to working with Azure data science services and tools.
- Required Knowledge Level: A thorough understanding of data analytics and machine learning concepts is required to take full advantage of the DP-100 training.
- Course duration: 22:40 hours(depending on personal speed)
- Online access: 24/7, 365 days after activation
- Award Winning E-learning
- Contact with instructor by email and chat (Online Mentor)
- Full training for the official Exam
- User-friendly environment
- Certificate of Participation included
Microsoft Azure DP-100 Designing and Implementing Training
With the CertKit for Azure Machine Learning, you will learn how to use machine learning solutions at the cloud scale. You will discover how to apply your existing knowledge of Python and machine learning to ingest and prepare data, train and deploy models, and monitor and manage machine learning solutions in Microsoft Azure.
Specifically:
- Creating cloud resources in Microsoft Azure.
- Using Python to explore and visualize data.
- Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
- Working with containers.
Course content
DP-100 - Azure Data Scientist Associate: Machine Learning
Course: 1 Hour, 8 Minutes
- Course Overview
- Machine Learning
- Data Manipulation and Datasets
- Labeled and Unlabeled Data
- Data Features
- Machine Learning Regression Algorithms
- Machine Learning Classification Algorithms
- Machine Learning Clustering Algorithms
- Supervised Machine Learning
- Unsupervised Machine Learning
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Services
Course: 45 Minutes
- Course Overview
- Azure Machine Learning Services
- Azure Machine Learning Studio
- Creating an Azure ML Studio Account
- Inspecting Azure ML Studio Components
- Ingesting Data from Azure Blob Storage
- Creating and Using Compute
- Course Summarys
DP-100 - Azure Data Scientist Associate: Machine Learning Regression Models
Course: 1 Hour, 13 Minutes
- Course Overview
- Machine Learning Regression Models
- Regression Model Training Concepts
- Regression Model Selection
- Training a Regression Model
- Executing the Regression Model Pipeline
- Evaluating a Regression Model
- Creating an Inference Pipeline
- Deploying Regression Model Predictive Services
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Classification Models
Course: 1 Hour, 10 Minutes
- Course Overview
- Machine Learning Classification Models
- Classification Model Training Concepts
- Classification Model Selection
- Training Classification Models
- Executing the Classification Model Pipeline
- Evaluating the Classification Model
- Creating an Inference Pipeline
- Deploying Classification Model Predictive Services
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Clustering Models
Course: 58 Minutes
- Course Overview
- Machine Learning Clustering Models
- Clustering Model Training Concepts
- Clustering Model Training
- Creating a K-means Clustering Model
- Evaluating a Clustering Model
- Creating a Clustering Model Inference Pipeline
- Deploying Clustering Model Predictive Services
- Course Summary
DP-100 - Azure Data Scientist Associate: Project Jupyter & Notebooks
Course: 1 Hour, 34 Minutes
- Course Overview
- Project Jupyter
- Jupyter Notebooks
- Installing Jupyter Notebook
- Using a Jupyter Notebook for Data Analysis
- Using a Jupyter Notebook for Regression Models
- Using a Jupyter Notebook for Classification Models
- Using a Jupyter Notebook for Clustering Models
- Using a Jupyter Notebook with PyTorch
- Using a Jupyter Notebook with TensorFlow
- Course Summary
DP-100 - Azure Data Scientist Associate: Azure Machine Learning Workspaces
Course: 1 Hour
- Course Overview
- Azure Machine Learning Workspaces
- Creating an Azure Machine Learning Workspace
- Installing Azure Machine Learning Tools
- Creating Scripts for Machine Learning Experiments
- Using Azure Machine Learning Metrics
- Creating Scripts for Azure Machine Learning Training
- Running a Notebook to Train Predictive Models
- Course Summary
DP-100 - Azure Data Scientist Associate: Azure Data Platform Services
Course: 1 Hour, 17 Minutes
- Course Overview
- Azure Data Structure Types
- Azure SQL Database
- Azure Cosmos DB
- Azure Data Storage
- Azure Data Lake Storage Gen
- Azure Synapse Analytics
- Azure Stream Analytics
- Azure Databricks
- Azure Data Factory
- Azure HDInsight
- Course Summary
DP-100 - Azure Data Scientist Associate: Azure Storage Accounts
Course: 1 Hour, 7 Minutes
- Course Overview
- Azure Storage Accounts
- Azure Storage Containers
- Azure File Shares
- Azure Table Storage
- Azure Queue Storage
- Azure Storage Account Tools
- Creating an Azure Storage Account
- Creating Azure Containers and File Shares
- Creating Azure Tables
DP-100 - Azure Data Scientist Associate: Storage Strategy
Course: 1 Hour, 3 Minutes
- Course Overview
- Azure Storage Strategy
- Azure Data Structure Types
- Azure Storage Security
- Uploading and Downloading Blobs
- Azure Storage Services
- Creating a VM and Storage Account
- Uploading Data to an Azure Storage Account
- Downloading from an Azure Storage Account
- Configuring Metrics Storage Account Monitoring
- Course Summary
DP-100 - Azure Data Scientist Associate: Azure Data Factory
Course: 1 Hour, 3 Minutes
- Course Overview
- Azure Data Factory
- Azure Data Factory Integration Runtime
- Azure Data Factory Linked Services and Datasets
- Azure Data Factory Pipelines and Activities
- Azure Data Factory Triggers
- Creating an Azure Data Factory
- Creating Data Factory Linked Services and Datasets
- Creating Data Factory Pipelines
- Creating Data Factory Triggers
- Course Summary
DP-100 - Azure Data Scientist Associate: Non-relational Data Stores
Course: 1 Hour, 16 Minutes
- Course Overview
- Azure Non-relational Data
- Azure Cosmos DB
- Creating an Azure Cosmos DB
- Azure Blob Storage
- Creating an Azure Blob Storage Container
- Azure Data Lake Storage Gen
- Creating an Azure Data Lake Storage Gen2 Solution
- Azure Data Masking
- Azure Data Management
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Data Stores & Compute
Course: 1 Hour, 2 Minutes
- Course Overview
- Azure Data Stores
- Creating and Registering Data Stores
- Working with Datasets
- Running a Jupyter Notebook to Work with Data
- Machine Learning Studio Compute Targets
- Creating Python Environments in Azure ML Studio
- Working with a Compute Instance in Azure
- Creating an Azure Machine Learning Compute Cluster
- Running a Jupyter Notebook with Compute
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Orchestration & Deployment
Course: 1 Hour, 13 Minutes
- Course Overview
- Machine Learning Pipelines
- Moving Data Using Machine Learning Pipelines
- Creating Machine Learning Pipelines
- Publishing Machine Learning Pipelines
- Triggering Machine Learning Pipelines
- Troubleshooting Machine Learning Pipelines
- Deploying Real-time Services
- Consuming Real-time Services
- Troubleshooting Service Deployments
- Course Summary
DP-100 - Azure Data Scientist Associate: Model Features & Differential Privacy
Course: 1 Hour, 6 Minutes
- Course Overview
- Machine Learning Global and Local Features
- Machine Learning Model Explainers
- Creating Machine Learning Explainers
- Interpreting Machine Learning Models with Python
- Visualizing Machine Learning Explanations
- Machine Learning Model Bias
- Azure Machine Learning and Fairlearn
- Detecting and Mitigating Model Fairness
- Course Summary
DP-100 - Azure Data Scientist Associate: Machine Learning Model Monitoring
Course: 52 Minutes
- Course Overview
- Application Insights
- Monitoring Models
- Creating Data Drift Monitors
- Visualizing Data Drifts Using ML Studio
- Differential Privacy
- Working with Differential Privacy Using Python
- Course Summary
DP-100 - Azure Data Scientist Associate: Azure Data Storage Monitoring
Course: 1 Hour, 6 Minutes
- Course Overview
- Azure Data Storage Monitoring
- Monitoring Azure Blob Storage
- Monitoring Data Lake Storage Gen
- Monitoring Azure Synapse Analytics
- Monitoring Cosmos DB
- Configuring Azure Monitoring Alerts
- Azure Log Analytics
- Using the Azure Monitor
- Course Summary
DP-100 - Azure Data Scientist Associate: Data Process Monitoring
Course: 1 Hour, 10 Minutes
- Course Overview
- Azure Monitor
- Creating Azure Monitor Metrics
- Analyzing Azure Resource Logs
- Querying Azure Monitor Logs
- Creating Log Analytics Dashboards
- Creating Azure Monitor Alerts
- Monitoring Data Factory Pipelines
- Monitoring Azure Log Analytics
- Course Summary
DP-100 - Azure Data Scientist Associate: Data Solution Optimization
- Course Overview
- Azure Data Solution Optimization
- Data Partitioning Strategies
- Azure Blob Lifecycle Management
- Azure Data Lake Storage Gen2 Optimization
- Azure Stream Analytics Optimization
- Azure Synapse Analytics Optimization
- Azure Cosmos DB Optimization
- Azure Blob Storage Optimization
- Azure Databricks Optimization
- Course Summary
DP-100 - Azure Data Scientist Associate: High Availability & Disaster Recovery
Course: 1 Hour, 33 Minutes
- Course Overview
- High Availability and Disaster Recovery
- SQL Server Business Continuity
- Azure SQL Server Backup and Restore
- Azure Availability Groups
- Creating Azure Availability Groups
- Configuring Virtual Machines for Disaster Recovery
- Azure SQL Server Disaster Recovery
- Azure SQL Database Elastic Pools
- Configuring Elastic Pools for Azure SQL Databases
- Azure Database for PostgreSQL - Hyperscale
- Creating Azure Database for PostgreSQL - Hyperscale
- Exploring PostgreSQL with Hyperscale
- Course Summary
MeasureUp Exam Simulation
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- 120+ questions
Online mentor
The online mentor can answer all your specific technical questions via chat or email related to your studies.
Online Mentor is active for 90 days or 365 days - after activation!
Tips, Tricks & Links
Take advantage of our comprehensive collection of tips, tricks and links designed specifically to support your preparation for certification exams. These resources provide valuable insights and proven strategies to make your studies more effective. Enhance your learning experience and approach your exams with confidence!
What is DP-100 Designing and Implementing a Data Science Solution on Azure Training?
Microsoft Azure DP-100, or "Designing and Implementing a Data Science Solution on Azure," is an exam and certification aimed at professionals involved in designing and implementing data science solutions on the Azure platform. This exam tests skills and knowledge in using Azure services and tools to create data science workflows, build and deploy machine learning models, and manage and visualize data.
DP-100 focuses on several aspects, including understanding the data science lifecycle, exploring and transforming data, selecting appropriate machine learning techniques, building and training models, implementing solutions in production environments, and monitoring and maintaining models.
By earning DP-100 certification, professionals can demonstrate their expertise in designing and implementing data science solutions on Azure, which can enhance their career opportunities and make them valuable to organizations using Azure for their data science projects.
10 benefits of DP-100 Designing and Implementing a Data Science Solution on Azure Training
- Acknowledgement of expertise: Earning DP-100 demonstrates that you have the knowledge and skills to design and implement data science solutions on Azure, enhancing your credibility and professional reputation.
- Career opportunities: DP-100 opens the door to new career opportunities as a data scientist, data engineer, machine learning engineer or Azure consultant, as there is a growing demand for professionals with Azure data science skills.
- Deep understanding of Azure data science: The DP-100 training and certification provide a thorough understanding of the Azure services and tools used in designing and implementing data science solutions, enabling you to excel in your work.
- Effective data science workflows: You will learn the best practices and methodologies to design and implement data science workflows, enabling you to work more efficiently and effectively on data science projects.
- Machine Learning Skills: DP-100 provides you with the opportunity to develop in-depth knowledge and practical skills in machine learning, including building, training and deploying machine learning models on Azure.
- Azure ecosystem understanding: You will gain an understanding of the broader Azure ecosystem and how data science solutions can be integrated with other Azure services, such as Azure Databricks, Azure Data Factory and Azure Cosmos DB.
- Understanding data exploration and transformation: You will learn how to explore, transform and cleanse data to gain reliable and actionable insights, which is critical for effective data science projects.
- Hands-on experience with Azure data science tools: You will get hands-on experience using Azure Machine Learning, Jupyter Notebooks and other relevant Azure tools, which will familiarize you with the latest technologies in the industry.
- Troubleshooting: DP-100 prepares you to tackle real data science challenges and solve complex problems using Azure data science solutions.
- Access to a professional network: Passing DP-100 gives you access to a global network of Azure data science professionals, allowing you to learn from others, foster collaboration and build valuable connections in your field.
Why is DP-100 Designing and Implementing a Data Science Solution on Azure important?
DP-100 Designing and Implementing a Data Science Solution on Azure is important because it is an officially recognized certification exam that focuses on the skills and knowledge needed to design and implement effective data science solutions using Microsoft Azure technologies. This exam allows data science and machine learning professionals to validate and demonstrate their expertise and knowledge, which can lead to new career opportunities and improve the quality of their work.
Additionally, the DP-100 certification can help organizations identify qualified professionals capable of designing and implementing effective data science solutions on the Azure platform, which can lead to improved business results and competitive advantage.
Why OEM Office Elearning Menu?
OEM Office Elearning Menu has years of experience in providing online courses and training. From Excel, Word and Outlook to high professional ICT training for Cisco, AWS, CompTIA and more.
OEM is an official Microsoft Partner, CertiPort Partner and EC-Council Partner. With over 1000 courses from more than 200 brands, our offer is suitable for every PC user. Whether you are a first time PC user starting up Word for the first time, or an ICT professional wanting to know more about Data Security; OEM has the right course or training for you. Missing a training? Let us know and we will gladly look at the options together.
Each completed course provides you with an official certificate of participation. This is personal and specifically addressed to the student. Every Incompany training course automatically delivers a certificate of participation. For each E-learning course you need to have completed at least 70% of the practical assignments to receive a certificate of participation.
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Language | English |
---|---|
Qualifications of the Instructor | Certified |
Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
MeasureUp Examination simulation | Included |
Online Virtuele labs | Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training |
Tips & Tricks | Included |
Exam Quiz | Included |
Full training for the official Exam | Yes |
Lesson duration | 22:40 Hours |
Progress monitoring | Yes |
Access to Material | 365 days |
Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
Support or Assistance | Helpdesk and online knowledge base 24/7 |
Certification | Certificate of participation in PDF format |
Price and costs | Course price at no extra cost |
Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
Award Winning E-learning | Yes |
Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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