Microsoft is offering a FREE program to become a Certified
- Data Analyst
- Data Engineer
- Data Scientist
No Pre-requisites required:
1) Get started with data engineering on Azure
In this Module you will learn integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
3) Perform data engineering with Azure Synapse Apache Spark Pools
Apache Spark is a highly scalable distributed processing solution for big data analytics and transformation. You can leverage its power in Azure Synapse Analytics by using Spark pools.
you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made.
You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.
Learn how to work with data in Azure Machine Learning. Whether you want to access data in notebooks or scripts, you can read data directly, through datastores, or data assets.
• Fastest and most accurate AI voice dictation
• Write 3x faster in every application using voice commands
• Supports AI commands, auto-edits, and 100+ languages
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Otio puts the power of GPT-4 and Claude at your fingertips. These AI models help you process information faster and gain deeper insights from your research materials.
Copy and paste these ChatGPT prompts to Complete your days of work in seconds:
1) Content Creation:
Prompt:
"Create a detailed 1500-word blog post on [specific topic]. Include an introduction, 5 main sections with subheadings, a conclusion, and 3 actionable takeaways. Use current industry statistics and cite reputable sources."
2) Market Research:
Prompt:
"Conduct a comprehensive market analysis for [product/service] in the [specific industry]. Include target demographics, key competitors, market size, growth trends, and potential opportunities. Provide data-driven insights and recommendations."