Pickl AI

DECEMBER 25, 2024

Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). They interpret data using tools like Excel, Tableau, or Power BI and work closely with stakeholders to align data findings with business objectives.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Blog

NOVEMBER 15, 2023

It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

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.

Big Data 52

Big Data Big Data Power BI Tableau 52

How to Learn Machine Learning

APRIL 26, 2025

Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights. Data Visualization and Interpretation To make the data understandable to stakeholders, visualizations are created in the form of charts, graphs, and dashboards.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

They use data visualisation tools like Tableau and Power BI to create compelling reports. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Cloud Integration: Learn Data Analysis with Microsoft Azure tools.

Data Analyst 110

Data Analyst SQL Python AWS 110

Smart Data Collective

NOVEMBER 24, 2020

And that is why: with BI you rely on a broader range of data, get deeper insights into the market, have a better vision of your companies strengths and weaknesses, receive trustworthy forecasts on business trends and get data-backed actionable tips on developing your business. Here we present an overview of some of them: Microsoft Power BI.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Pickl AI

OCTOBER 17, 2024

Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Common tools like Tableau, Power BI, and Google Data Studio enable businesses to create dynamic visualisations that simplify complex datasets.

Analytics 52

Analytics Analytics Power BI Tableau 52

Pickl AI

MARCH 19, 2025

Tableau Tableau is a popular data visualization tool that enables users to create interactive dashboards and reports. Power BI Power BI is another widely used business intelligence tool that helps transform raw data into meaningful insights through interactive dashboards and reports.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

FEBRUARY 6, 2024

Cloud-Based Orchestration Tools While open-source tools are powerful, cloud-based orchestration services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer managed solutions that reduce the burden of infrastructure management.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

MARCH 15, 2023

Experience with cloud platforms like; AWS, AZURE, etc. Experience with visualization tools like; Tableau and Power BI. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

ODSC - Open Data Science

APRIL 3, 2023

Data Analytics Platforms: Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, SAP, Pandas. The most common trend shouldn’t come as a surprise, as the most in-demand data analytics platforms revolve around reporting, such as Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, and SAP.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 30, 2024

Some of the key tools used for data visualisation include: Tableau Tableau is a data visualisation tool that allows researchers to create interactive dashboards and reports. Power BI Power BI is a business analytics tool that allows researchers to create interactive dashboards and reports.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

ODSC - Open Data Science

APRIL 6, 2023

One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView. Many cloud providers, such as Amazon Web Services and Microsoft Azure, offer SQL-based database services that can be used to store and analyze data in the cloud. Finally, cloud services.

SQL 98

SQL Data Scientist Database Data Science 98

Mlearning.ai

JULY 11, 2023

For example, when it comes to deploying projects on cloud platforms, different companies may utilize different providers like AWS, GCP, or Azure. Therefore, having proficiency in a specific cloud platform, such as Azure, does not mean you will exclusively work with that platform in the industry.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Pickl AI

DECEMBER 2, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or Power BI allows users to visualise and analyse complex datasets easily.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

DECEMBER 4, 2024

Learn to use tools like Tableau, Power BI, or Matplotlib to create compelling visual representations of data. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets. Additionally, familiarity with cloud platforms (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

APRIL 26, 2024

Yes, I am proficient in data visualisation tools such as Tableau, Power BI, and Matplotlib in Python, which I use to create interactive and insightful visualisations for data analysis. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? How would you standardise the data?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

APRIL 2, 2024

Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis. SQL (Structured Query Language): Language for managing and querying relational databases.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 When to use SCIM vs phData's Provision Tool SCIM manages users and groups with Azure Active Directory or Okta.

Clustering 98

Clustering Database SQL Data Pipeline 98

ODSC - Open Data Science

JANUARY 7, 2025

Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization. Power BI is surprisingly popular as well, possibly for its focus on business and applications, making it more commonly used by even non-tech-savvy individuals.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Data Science Blog

JULY 20, 2024

Vielfältige Unterstützung: Kompatibel mit verschiedenen Datenbankmanagementsystemen wie MS SQL Server und Azure Synapse Analytics. Data Lakes: Unterstützt MS Azure Blob Storage. Frontends : Kompatibel mit Tools wie Power BI, Qlik Sense und Tableau.

Azure 130

Azure SQL Power BI Data Lakes 130

Data Science Blog

FEBRUARY 7, 2023

Vor einen Jahrzehnt war es immer noch recht üblich, sich einfach ein BI Tool zu nehmen, sowas wie QlikView, Tableau oder PowerBI, mittlerweile gibt es ja noch einige mehr, und da direkt die Daten reinzuladen und dann halt loszulegen mit dem Aufbau der Reports. Für Data Science ja sowieso. dem ERP, CRM usw.,

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286

phData

MAY 15, 2025

Dashboards & Visualization: Tableau, Power BI , Qlik, etc. This data is being fed to an AWS Kinesis Stream continuously (we will limit it to every 15-30 seconds for this demo) from the IoT device, which in turn is being fed into Snowflake in real-time, facilitating the analysis and monitoring through a dashboard in Tableau.

AWS 59

AWS Analytics Analytics Apache Kafka 59