Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. Supports diverse data sources: Excel, SQL Server, Azure, and more. Why Power BI?

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Pickl AI

DECEMBER 16, 2024

Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Both tools complement each other, enabling seamless data management and visualisation. What is Power BI?

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Power BI Analytics Analytics Machine Learning 52

Pickl AI

MARCH 4, 2024

Summary: Power BI is a leading data analytics platform offering advanced features like real-time analytics and collaborative capabilities. Understanding its significance is vital for aspiring Power BI developers. Mastering Power BI can significantly enhance career prospects, given its prevalence in the industry.

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ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. in an enterprise data warehouse. What is Power BI Datamarts?

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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

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

Data Science Dojo

AUGUST 16, 2024

Natural Language Processing (NLP) for Data Interaction Generative AI models like GPT-4 utilize transformer architectures to understand and generate human-like text based on a given context. Generative AI for Data Analytics – Top 7 Tools to Leverage 1. ” and the Copilot will generate a relevant chart or report.

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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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Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Power BI? billion in 2023.

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Power BI Tableau Business Intelligence Business Intelligence 52

Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. Getting Started with SQL Programming: Are you starting your journey in data science? If you’re new to SQL, this beginner-friendly tutorial is for you!

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Pickl AI

NOVEMBER 18, 2024

Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports.

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Data Analyst SQL Python AWS 110

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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Data Analyst SQL Data Analysis Data Analysis 52

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

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Deployment and Monitoring Once a model is built, it is moved to production.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Is Data Analysis just about crunching numbers?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

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

Analytics Vidhya

DECEMBER 19, 2022

Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions.

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Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Women in Big Data

DECEMBER 9, 2024

There is a plethora of BI tools available in the market today, with new ones being added yearly. Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making.

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Big Data Big Data Power BI Tableau 52

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

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Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. Before we dive right in, you’d totally love to check out the deliverables that came with this project (a PowerPoint presentation and a very insightful Power BI dashboard).

SQL 52

SQL Power BI Cloud Data Data Analysis 52

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. What is Descriptive Analytics?

Analytics 52

Analytics Analytics Power BI Tableau 52

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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.

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Data Analyst Data Analysis Data Analysis Computer Science 52

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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Pickl AI

FEBRUARY 20, 2025

Despite their distinct roles, Data Analysts and Business Analysts share common ground. Both roles require strong analytical skills, proficiency in SQL and other programming languages, and the ability to interpret data and provide insights. Tableau, Power BI). Which Role Requires More Technical Skills?

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Data Analyst Data Analysis Data Analysis SQL 52

Pickl AI

JULY 28, 2023

A well-organized portfolio demonstrates your ability to work with data and draw valuable insights. Here are the steps to build an impressive data analyst portfolio: Select Relevant Projects: Choose a variety of data analysis projects that highlight your skills and cover different aspects of data analysis.

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Data Analyst Data Analysis Data Analysis Data Visualization 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.

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Data Analyst Data Analysis Data Analysis Machine Learning 52

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.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

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Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Role of Data Scientists Data Scientists are the architects of data analysis.

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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

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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Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

NOVEMBER 5, 2024

These courses introduce you to Python, Statistics, and Machine Learning , all essential to Data Science. Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Data Science Course by Pickl.AI

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Data Science Machine Learning Machine Learning Python 52

Pickl AI

FEBRUARY 29, 2024

Ultimately, Data Blending in Tableau fosters a deeper understanding of data dynamics and drives informed strategic actions. Data Blending in Tableau Data Blending in Tableau is a sophisticated technique pivotal to modern data analysis endeavours. What is Data Blending in tableau with an example?

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