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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phData

JULY 11, 2023

Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?

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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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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. This role builds a foundation for specialization.

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Pickl AI

APRIL 18, 2023

In this blog post, we will explore how to get a Data Analyst job as a Fresher. Accordingly, the blog will explore the skills and tools required for a career in data analysis, the importance of building a strong educational foundation, and strategies for getting a job in data analysis as a fresher.

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phData

JULY 14, 2023

Power BI is a versatile and scalable platform that combines self-service and enterprise business intelligence (BI) capabilities. It serves as a comprehensive solution for connecting to diverse data sources and creating compelling visualizations. What is the SWITCH Function?

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Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. What will our digital future look like?

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Towards AI

APRIL 2, 2024

The Objective of any data analyst is to find the hidden insights in the data and come out with useful suggestions or solutions to benefit the business. Photo by Nathan Dumlao on Unsplash Let’s dive into the world of data analysis. Ask and gather the data and have full clarity from the data by clarifying all doubts if any.

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ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Data scientists will typically perform data analytics when collecting, cleaning and evaluating data.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Business Analytics employs various tools and techniques to process and interpret data effectively. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Scientists require a robust technical foundation.

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ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

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Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis.

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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. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Read more to know.

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Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

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phData

MARCH 27, 2024

The SnowPro Advanced Data Analyst Certification tests the advanced Snowflake knowledge and skills of Data Analysts, ELT Developers, and BI Specialists. The answer to this question depends on your study schedule, familiarity with SQL, and understanding of topics as you advance through the platform.

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Pickl AI

FEBRUARY 27, 2024

It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization. Participants learn to leverage tools like Excel, Python, and SQL for data manipulation and analysis, enabling better financial modeling and forecasting decision-making.

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Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Frequently Asked Questions What is the list of jobs after BCA?

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Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success. Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages.

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Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. While an RDBMS can still be used in a modern data stack, it is not as common because it is not as well-suited for managing big data.

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Pickl AI

JULY 18, 2024

Comparison with Traditional Relational Databases Traditional relational databases (RDBMS) like MySQL or PostgreSQL store data in structured tables with predefined schemas. Relational databases use SQL for querying, which can be complex and rigid. Top 50+ Data Analyst Interview Questions & Answers.

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Pickl AI

DECEMBER 4, 2024

Furthermore, the demand for skilled data professionals continues to rise; searches for “data analyst” roles have doubled in recent years as companies seek to harness the power of their data. This foundational knowledge is essential for any Data Science project.

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