Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Prep for Microsoft Azure Data Engineer Associate Cert DP-203
4.318 ratings at CourseraOverview
This course will guide you on how to prepare for the DP-203: Data Engineering on Microsoft Azure certificate exam.
By the end of this course, you will be able to:
- Explain how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines.
- Describe how to ingest, clean, and transform data using Azure Synapse.
- Identify data processing solutions using Azure Databricks and manage pipelines in Azure Synapse pipelines.
- Discuss the steps to secure, optimize, and monitor data storage using Azure Synapse Analytics.
This course is designed for IT professionals who want to prepare for the Microsoft DP-203 exam and demonstrate their expertise in creating analytical solutions by integrating, transforming, and consolidating data from multiple data sources, such as structured, unstructured, and streaming data systems.
According to Microsoft, candidates for the DP-203 exam should have experience with operationalization of data pipelines and ensure that data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You should be able to identify and troubleshoot operational and data quality issues, and design, implement, monitor, and optimize data platforms to meet the data pipelines.
Syllabus 3
- Designing and implementing data storage and data exploration layer 1 hour
In this module, you will be introduced to the Azure tools available for designing and implementing data storage and data exploration layers. You will gain insight into the three important data engineering tools: Azure Synapse Analytics, Azure Databricks, and Azure Data Lake. You will gain insight i…
- Developing data processing 1.5 hours
In this module, you will gain an understanding of data ingestion and transformation techniques. You will also learn about Transact SQL for data transformation, Azure Synapse Pipelines for ETL, Apache Spark for processing, and exploratory data analytics. The module also discusses data loading with P…
- Securing, monitoring, and optimizing data storage and data processing 1.5 hours
In this module, you will learn about the importance of implementing robust data security measures in Azure, encompassing data encryption, access control through Azure RBAC, and secure data handling. Additionally, you can learn the steps to monitor data storage, optimize query performance through in…
Advantages and disadvantages
Advantages
- Structured courses with graded quizzes, assignments and deadlines you can reset.
- A shareable certificate from the university or company when you pay.
- Financial aid is often approved for students in India (apply 15 days before you need it).
- Self-paced: start any time.
- A clear syllabus (3 parts) you can see before you start.
Disadvantages
- Paid after a 7-day free trial (Coursera Plus or per course).
- Some courses can be audited for free, but graded work and certificates need payment.
Some points apply to every course of this kind; see how we rank.
This course is paid. Here is how to take it for free
- Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
- Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.
Taught by
- SkillUp
- Prateek Kumar
Simplilearn is in Tier 4: commercial training companies and platform-made courses of our institution ranking (58/100).
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