Pickl AI

SEPTEMBER 2, 2024

Summary: Counting rows is a fundamental task in Power BI that requires careful consideration. This blog explores how to get total number of rows in power query. Understanding Power BI and Its Importance Power BI is a suite of business analytics tools that allows users to analyze data and share insights.

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Pickl AI

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Power BI enhances decision-making by providing interactive dashboards and reports that are accessible to both technical and non-technical users. What Is Power BI?

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Power BI Business Intelligence Business Intelligence Analytics 52

Pickl AI

AUGUST 28, 2023

Power BI Heatmap: Heatmap in Power BI refers to the type of custom visualisation that businesses analysts utilise for showcasing the relationship between two variables on a map in different colour patches. It offers a wide range of features that make it a popular choice for data professionals, analysts, and organizations.

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Power BI Data Analysis Data Analysis Data Visualization 52

Pickl AI

OCTOBER 30, 2024

Summary: In Power BI, slicers and filters serve distinct purposes. Slicers are visual elements that allow users to interactively filter data on the report canvas, enhancing user experience. Filters, on the other hand, are backend features that refine data at various levels—visual, page, or report—without direct user interaction.

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Power BI Business Intelligence Business Intelligence Data Analysis 52

Analytics Vidhya

APRIL 11, 2023

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

Pickl AI

DECEMBER 30, 2024

Summary: This guide covers visualising KPI in Power BI, from setting up the tool and preparing data to selecting the right visuals and enhancing dashboards. Introduction In todays data-driven world, Key Performance Indicators (KPIs) are crucial in guiding business decisions. Excel or SQL Server).

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Power BI SQL Data Analysis Data Analysis 52

Pickl AI

OCTOBER 23, 2024

Summary: This section outlines key mistakes to avoid when creating dynamic visual displays in Power BI. Introduction In a world where data is growing exponentially, effective visualisation is crucial. Introduction In a world where data is growing exponentially, effective visualisation is crucial.

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Power BI Data Analysis Data Analysis Analytics 52

phData

FEBRUARY 26, 2024

Being able to view or slice data based on date and time fields is undoubtedly one of the more frequent use cases that any Power BI developer will come across. Usually, this request is to view data based on specific dates, months, and years. Let’s walk through the blog and explore the step-by-step process.

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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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Power BI Data Analyst Business Intelligence Business Intelligence 52

Data Science Dojo

JULY 5, 2023

For data scrapping a variety of sources, such as online databases, sensor data, or social media. Cleaning data: Once the data has been gathered, it needs to be cleaned. This involves removing any errors or inconsistencies in the data.

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Pickl AI

MARCH 12, 2023

Accordingly, Data Analysts use various tools for Data Analysis and Excel is one of the most common. Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. Let’s find out in the blog! What is Data Analysis?

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Pickl AI

FEBRUARY 6, 2025

Summary: Data Analysis and interpretation work together to extract insights from raw data. Analysis finds patterns, while interpretation explains their meaning in real life. Overcoming challenges like data quality and bias improves accuracy, helping businesses and researchers make data-driven choices with confidence.

Data Analysis 52

Data Analysis Data Analysis Data Quality Power BI 52

DrivenData Labs

MARCH 26, 2024

To get participants started, we published a blog post outlining some commonly used open Earth observation datasets. QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience.

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Pickl AI

APRIL 21, 2025

Introduction Data visualization is no longer just a niche skill; it’s a fundamental component of Data Analysis , business intelligence, and data science. This blog post breaks down top data visualization interview questions into two categories: Beginner and Advanced.

Data Visualization 52

Data Visualization Power BI Data Analysis Data Analysis 52

Pickl AI

NOVEMBER 18, 2024

A Data Analyst certification builds credibility, validates expertise, and opens doors to advanced career opportunities. This blog explores top certifications, factors to consider when choosing one, and future trends, helping aspiring and experienced analysts navigate their professional growth effectively.

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Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Dataconomy

JULY 28, 2023

By analyzing the sentiment of users towards certain products, services, or topics, sentiment analysis provides valuable insights that empower businesses and organizations to make informed decisions, gauge public opinion, and improve customer experiences. It ensures that the data used in analysis or modeling is comprehensive and comprehensive.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

NOVEMBER 27, 2024

Summary: Conditional formatting in Power BI transforms data visualisation by dynamically adjusting visual elements based on data values. Introduction Microsoft Power BI has a 15.62% market share in data visualisation, making it a leading tool for transforming data into actionable insights.

Power BI 52

Power BI Data Visualization Business Intelligence Business Intelligence 52

Pickl AI

FEBRUARY 2, 2025

In modern organizations, the significance of the Business Analyst role lies in their ability to interpret data. This blog aims to equip you with the core questions often asked during interviews. Data visualization tools like Tableau and Power BI can be applied to inform decisions. Who Is a Business Analyst?

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Pickl AI

APRIL 18, 2023

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

Data Analyst 52

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Pickl AI

APRIL 9, 2025

It helps retrieve values from tables based on specific conditions, making it a powerful tool for data analysis in Power BI and Excel. By the end, you’ll have a solid grasp of how and when to leverage dax lookupvalue in your Power BI reports or Excel Power Pivot models.

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Power BI Data Modeling Data Models Data Analysis 52

Pickl AI

MARCH 3, 2025

Business Intelligence Analysts are the skilled artisans who transform this raw data into valuable insights, empowering organizations to make strategic decisions and stay ahead of the curve. Key Takeaways BI Analysts convert data into actionable insights for strategic business decisions. Ensuring data integrity and security.

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Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

MAY 29, 2024

Advanced data visualization techniques are necessary to unlock deeper insights and reveal hidden patterns within the data. In this blog post, we’ll explore some of these advanced techniques and how they can be used to enhance analytical capabilities. Tools like Tableau, Power BI, and D3.js

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Data Visualization Analytics Analytics Power BI 52

Pickl AI

DECEMBER 26, 2024

Advancements in data processing, storage, and analysis technologies power this transformation. In Data Science in a Cloud World, we explore how cloud computing has revolutionised Data Science. Each platform caters to specific requirements, ensuring flexibility and scalability.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Pickl AI

JANUARY 15, 2025

According to a report by Gartner, organizations that utilize BI tools can improve their operational efficiency and gain competitive advantages over rivals. Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Data Science Dojo

JULY 3, 2024

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? R : Often used for statistical analysis and data visualization.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Expertise in tools like Power BI, SQL, and Python is crucial.

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Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

JULY 28, 2023

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. However, as a Data Analyst aspirant, you may be wondering how to shape or build your Data Analyst Portfolio so that you’re visible to the employers. How to build a Data Analyst Portfolio?

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Data Analyst Data Analysis Data Analysis Data Visualization 52

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? Let’s read the blog to find out! How Professionals Can Use Tableau for Data Science?

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Mlearning.ai

FEBRUARY 9, 2023

I find that R markdown is most useful for making reports or documents with your analysis. The most common ways to create a written report with data analysis notebooks are: 1. Python, R, SQL) code analysis in jupyter notebook, using Markdown notation — File —Download as (pdf, html, docx, etc) document 2. R markdown (.rmd)

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52

Pickl AI

FEBRUARY 20, 2025

As industries rely more on data to inform strategies, these roles have become indispensable for analysing trends, improving operations, and fostering growth. While both roles contribute significantly to decision-making, they do so in distinct ways, catering to different aspects of business and data management. Tableau, Power BI).

Data Analyst 52

Data Analyst Data Analysis Data Analysis SQL 52

Pickl AI

DECEMBER 6, 2024

It involves using data to determine optimal pricing strategies that align with customer behaviour, market trends, and competitive dynamics. As businesses increasingly rely on data-driven decision-making, embracing Pricing Analytics can provide a significant edge. Skilled personnel are necessary for accurate Data Analysis.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 5, 2024

Summary: Operations Analysts play a crucial role in enhancing organisational efficiency by analysing processes, implementing improvements, and leveraging data-driven insights. This blog explores their responsibilities, challenges, and career advancement opportunities in detail.

Data Analysis 52

Data Analysis Data Analysis Data Quality Analytics 52

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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

phData

MARCH 27, 2024

While learning Snowflake presents its challenges, the benefits for any data professional are immense. In this blog, I’ll guide you towards success in your Snowflake learning journey. Snowflake’s SnowPro Advanced Certifications assess advanced Snowflake knowledge and skills relating to five data science roles.

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