Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. 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.

Data Analyst 110

Data Analyst SQL Python AWS 110

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

How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

DECEMBER 26, 2024

Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings. Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 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 Models 245

Data Models Data Modeling 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

Smart Data Collective

JANUARY 27, 2020

Data Fusion is a BI integration service created by Affise performance marketing platform, that transfers all the data from its platform to customers AWS and Google accounts. And as the next step, the data is sent to such leading-edge BI tools, as Google Data Studio, Power BI, Oracle BI, Tableau, etc.,

AI 136

AI AI Business Intelligence Business Intelligence 136

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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

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

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. Moreover, tools like Power BI and Tableau can produce remarkable results. These tools can be employed later on to automate tasks and create a smoother workflow.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

phData

OCTOBER 24, 2024

dbt is adding support for more platforms and semantic layer connections: New Integrations: dbt is welcoming AWS Athena (GA) and Teradata (Preview) to the family! BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon! For example, you can add these dbt Health Tiles to your Tableau Dashboard.

SQL 52

SQL Tableau Power BI Database 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

Alation

MAY 12, 2023

And our mature relationships with partners like Snowflake, AWS, Databricks, and our connectors to Tableau and Power BI make us the natural choice for enterprises with complex data environments. In particular they are tied very well to Snowflake and Tableau which are our two most critical systems.

Data Governance 52

Data Governance Tableau Power BI Business Intelligence 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

Alation

MAY 12, 2023

And our mature relationships with partners like Snowflake, AWS, Databricks, and our connectors to Tableau and Power BI make us the natural choice for enterprises with complex data environments. In particular they are tied very well to Snowflake and Tableau which are our two most critical systems.

Data Governance 40

Data Governance Tableau Power BI Business Intelligence 40

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? Lifetime access to updated learning materials.

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

JANUARY 17, 2024

Here are a few of our most popular certifications: Snowflake Data Cloud AWS Dataiku dbt Fivetran Tableau Sigma Computing Power BI Plus many more! Additionally, phData employees can choose which tech they’d like to get certified in.

Power BI 52

Power BI Tableau Data Scientist Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

From development environments like Jupyter Notebooks to robust cloud-hosted solutions such as AWS SageMaker, proficiency in these systems is critical. Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

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 authorization server.

Clustering 98

Clustering Database SQL Data Pipeline 98

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

How to implement a real-time analytics use case using AWS and Snowflake. Technologies Involved: Streaming Tools and Platforms: Snowpipe , AWS Kinesis, Apache Kafka, Apache Flink, Google Pub/Sub, etc. Databases & Data Stores: Snowflake, AWS Redshift, Apache Druid, ClickHouse, etc. A demo of the implementation.

AWS 59

AWS Analytics Analytics Apache Kafka 59

Flipboard

JUNE 16, 2025

Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles. Cloud Computing: Platforms: Amazon Web Services (AWS), Azure, Google Cloud Skills: Docker, Kubernetes, and basic DevOps tools must be learnt to enhance employability.

Python 50

Python AWS Machine Learning Machine Learning 50