Data Science Dojo

OCTOBER 31, 2024

Their role is crucial in understanding the underlying data structures and how to leverage them for insights. Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI.

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Pickl AI

DECEMBER 26, 2024

Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.

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Data Science Cloud Computing Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Data Science Dojo

JULY 3, 2024

R : Often used for statistical analysis and data visualization. Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught.

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Pickl AI

DECEMBER 2, 2024

Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis. Data Lakes allows for flexibility in handling different data types.

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Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key storage solutions include: Data Lakes: Centralised repositories that store raw data in its native format until needed for analysis. Data Lakes allows for flexibility in handling different data types.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52