Data Science Dojo

APRIL 18, 2023

Are you interested in learning more about the essential skills for data analysts to succeed in today’s data-driven world? The good news is that you don’t need to be an engineer, scientist, or programmer to acquire the necessary data analysis skills. Who are data analysts?

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Pickl AI

JULY 28, 2023

The career of a Data Analyst is highly lucrative today and with the right skills, your dream job is just around the corner. It is expected that the Data Science market will have more than 11 million job roles in India by 2030, opening up opportunities for you. How to build a Data Analyst Portfolio?

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Applied Data Science

AUGUST 2, 2021

With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

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Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. These models may include regression, classification, clustering, and more.

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