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?

Power BI 52

Power BI Analytics Analytics Machine Learning 52

Data Science Dojo

FEBRUARY 23, 2024

Since GPTs for data science enhance data processing and its subsequent results, they are a fundamental tool for the success of enterprises. The Best 8 GPTs for Data Science on the GPT Store From the GPT store of OpenAI , below is a list of the 8 most popular GPTs for data science for you to explore.

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363

Pickl AI

APRIL 9, 2023

In this blog, we will unfold the benefits of Power BI and key Power BI features , along with other details. What is Power BI? It is an analytical tool developed by Microsoft that enables the organization to visualise, and share insights from data. Here comes the role of Power BI.

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Power BI Business Intelligence Business Intelligence Cloud Computing 52

Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

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Data Science Analytics Analytics Power BI 195

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

Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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Augmented Analytics Analytics Analytics Natural Language Processing 91

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. You could apply your skills in industries like finance, healthcare, and even fashion.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

phData

AUGUST 29, 2023

In a perfect scenario, everything a data analyst would need to answer business users’ questions would live in cleaned, curated, and modeled tables in a data warehouse. The analyst could connect to the data warehouse and start developing reports. M is the formula language behind the scenes of Power Query.

Power BI 52

Power BI Data Warehouse Database Data Analyst 52

Pickl AI

MAY 7, 2024

Summary: Struggling to translate data into clear stories? This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. What are The Benefits of Learning Tableau for Data Analysts? Enters: Tableau for Data Analyst.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Pickl AI

APRIL 10, 2023

In a fast-paced world where organisations collect and generate vast amounts of data for making effective decisions, storing data in different formats makes it challenging. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

FEBRUARY 20, 2025

Summary: This guide demystifies the roles of Business and Data Analysts, highlighting their distinct responsibilities and overlapping skills. Introduction In today’s data-driven world, both Business Analysts and Data Analysts are essential in helping organisations make well-informed decisions.

Data Analyst 52

Data Analyst Data Analysis Data Analysis SQL 52

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 Analyst Data Analysis Data Analysis Data Visualization 52

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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 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?

Power BI 52

Power BI Data Analyst Business Intelligence Business Intelligence 52

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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Power BI SQL Azure ETL 40

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 what all Expectations are from the data analysis. Are you ready?

Data Analysis 103

Data Analysis Data Analysis Data Analyst Power BI 103

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

Dataconomy

JULY 24, 2023

” Data visualization and communication It’s not enough to uncover insights from data; a data scientist must also communicate these insights effectively. This is where data visualization comes in. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful.

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Data Scientist Data Science Data Analyst Machine Learning 172

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.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Dataconomy

DECEMBER 17, 2024

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineer 91

DrivenData Labs

MARCH 26, 2024

QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Many participants used beginner-friendly online interfaces, like NASA Worldview and Giovanni , to explore and manipulate data.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

Data Science Dojo

FEBRUARY 23, 2024

Since data science GPTs enhance data processing and its subsequent results, they are a fundamental tool for the success of enterprises. A list of best data science GPTs in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular data science GPTs for you to explore.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

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?

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Data Science Dojo

FEBRUARY 23, 2024

A list of best GPTs for data science in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular GPTs for data science for you to explore. Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

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. Data scientists also rely on data analytics to understand datasets and develop algorithms and machine learning models that benefit research or improve business performance.

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Data Science Analytics Analytics Data Scientist 94

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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Data Science Analytics Analytics Data Analyst 52

IBM Journey to AI blog

OCTOBER 2, 2024

Data products are managed, governed collections of datasets, dashboards and reusable queries. They are designed to be readily used by business executives, business analysts, data analysts and other data consumers for analytics, AI and other critical data workloads.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

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.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Smart Data Collective

NOVEMBER 25, 2019

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. AI-Powered Big Data Technology. Some major business intelligence platforms, like Microsoft’s Power BI and Tableau , have already integrated NLP features — like semantic search.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

Pickl AI

MARCH 12, 2023

The demand for Data Analysts is high in the market, considering the large volumes of data engaging business organisations. Data Analysts are crucial for companies to help them gather, analyse and interpret data, allowing them to make better decisions. How to Use Data Analysis in Excel?

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 52

Pickl AI

MARCH 3, 2025

Gain proficiency in data visualization tools like Tableau, Power BI, or Looker. Develop a solid understanding of data warehousing concepts and technologies. Acquire knowledge of statistical analysis and data modelling techniques. What Is the Difference Between a Business Intelligence Analyst and A Data Analyst?

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 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.

Analytics 52

Analytics Analytics Power BI Tableau 52

Mlearning.ai

DECEMBER 4, 2023

Generated with Bing AI Unlocking the power of data doesn't require a data analyst certification; it's a skill accessible to anyone with data access. Grasp the Essence of Your Data Dig deeper than the surface — understand the intricacies of each column and unravel the connections between tables.

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52

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.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

JANUARY 9, 2025

By understanding the Operations Analyst’s evolving duties, aspiring professionals and organisations can align their goals to meet the demands of modern operations management effectively. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

MAY 29, 2024

Techniques such as hover-over tooltips, clickable elements, and filterable controls enhance user engagement and facilitate a deeper understanding of the data. Tools like Tableau, Power BI, and D3.js Power BI A powerful and versatile tool from Microsoft, Power BI integrates seamlessly with other Microsoft products like Excel.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 52

Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. Data Analysts , however, do not need deep programming knowledge.

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Data Science Analytics Analytics Machine Learning 52