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February brings five new courses at KSR Data Vision, focusing on data analytics and artificial intelligence. The courses include Full Stack PowerBI with Data Analytics, Data Science with AI, Multicloud Data Engineering, Snowflake with ADF, and DevOps. Each course offers unique insights into essential tools and technologies, including SQL, Python, and cloud services. Attendees can take advantage of five free trial sessions for each course to engage with trainers and clarify doubts before committing to enrollment. The session outlines the relevance of AI in contemporary data analysis and engineering practices.
Discussion on AI tools in data science, including machine learning and deep learning.
Overview of predictive analytics in data science through historical data analysis.
Introduction of Snowflake with Azure Data Factory for efficient data management.
The integration of machine learning and AI into traditional data science curricula signifies a growing trend in the field. With the increasing importance of AI for predictive analytics, knowledge of tools like PowerBI and specific AI applications will be crucial for data scientists. The comprehensive approach to AI and data tools in the courses reflects the demand for professionals who can leverage these technologies effectively in real-world scenarios.
The focus on multicloud data engineering and platforms like Snowflake illustrates a shift toward hybrid cloud solutions. As organizations increasingly require flexibility and scalability, proficiency in various cloud architectures becomes essential. Familiarity with integrative tools such as Azure ADF further enhances data engineers' abilities to optimize workflows and data processing across multiple environments.
The course offers extensive training on PowerBI from scratch for data analytics.
The data science course addresses its advancements and applications in AI tools.
This course explores data integration and querying in a centralized system.
Microsoft technologies are integrated into many of the courses focusing on data analytics and engineering.
Mentions: 5
The relevance of Snowflake is highlighted through the integrations with Azure services in the course offerings.
Mentions: 3
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