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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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. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

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Pickl AI

FEBRUARY 22, 2024

The curriculum includes Machine Learning Algorithms and prepares students for roles like Data Scientist, Data Analyst, System Analyst, and Intelligence Analyst. Data Science Bootcamp Pickl.AI You will learn by practising Data Scientists. Data Science Job Guarantee Course Pickl.AI

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Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

OCTOBER 14, 2024

Techniques Hypothesis Testing: Determining whether enough evidence supports a specific claim or hypothesis. Statistical Analysis Statistical analysis is fundamental in Data Analysis as it helps summarise and describe data sets. Excel: Best for basic statistical analysis and quick data manipulation.

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Pickl AI

SEPTEMBER 23, 2024

Statistics Descriptive statistics includes techniques like mean, median, and standard deviation to help summarise data. Hypothesis testing and regression analysis are crucial for making predictions and understanding data relationships. They also optimise algorithms to ensure robust performance in real-world applications.

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