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The Top Ten Certifications For Data Analysts

Pickl AI

Industry-recognised certifications, like IBM and AWS, provide credibility. Who is a Data Analyst? A Data Analyst collects, processes, and interprets data to help organisations make informed decisions. They use data visualisation tools like Tableau and Power BI to create compelling reports. Course Duration: 26.5

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on. Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well.

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Discover Interoperability between Python, MATLAB and R Languages

Pickl AI

Summary: This article discusses the interoperability of Python, MATLAB, and R, emphasising their unique strengths in Data Science, Engineering, and Statistical Analysis. It highlights the importance of combining these languages for efficient workflows while addressing challenges such as data compatibility and performance bottlenecks.

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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How to become a Data Scientist after 10th?

Pickl AI

Following is the Data Science Roadmap that you need to know: Learn Data Wrangling, Data Visualisation and Reporting: For dealing with complex datasets you need to learn the skill of Data Wrangling which will help you clean, organise and transform data into an understandable format.