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.

Data Science 195

Data Science Analytics Analytics Power BI 195

phData

AUGUST 29, 2023

In reality, to create a comprehensive and holistic view of your business, the analyst will likely need to go beyond the data warehouse and integrate data from several different, often disparate, sources. While switching data sources isn’t as easy as a click of a button, it is doable with some minor edits in the M Code in Power Query.

Power BI 52

Power BI Data Warehouse Database Data Analyst 52

Data Science Blog

JULY 20, 2024

Die Bedeutung effizienter und zuverlässiger Datenpipelines in den Bereichen Data Science und Data Engineering ist enorm. 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

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 Engineering 91

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. At the heart of this revolution are open-source tools, offering powerful capabilities, flexibility, and a thriving community support system.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Blog

SEPTEMBER 3, 2024

Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. Process Mining Tools, die Business Intelligence Software erweitern Und dann gibt es noch diejenigen Anbieter, die bestehende BI Tools mit Erweiterungen zum Process Mining Analysewerkzeug machen. nicht mehr weiterentwickelt wird.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI SQL 195

DataSeries

AUGUST 15, 2024

Enrich data engineering skills by building problem-solving ability with real-world projects, teaming with peers, participating in coding challenges, and more. Globally several organizations are hiring data engineers to extract, process and analyze information, which is available in the vast volumes of data sets.

Data Engineering 40

Data Engineering Data Engineer Data Engineering Data Engineering 40

Data Science Blog

NOVEMBER 15, 2023

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

OCTOBER 6, 2023

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology.

Analytics 343

Analytics Analytics Power BI Data Lakes 343

Dataconomy

JULY 28, 2023

These tools offer a wide range of functionalities to handle complex data preparation tasks efficiently. The tool also employs AI capabilities for automatically providing attribute names and short descriptions for reports, making it easy to use and efficient for data preparation.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Data Science Blog

MARCH 14, 2023

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Data Science Blog

MARCH 30, 2023

Unabhängiges und Nachhaltiges Data Engineering Die Arbeit hinter Process Mining kann man sich wie einen Eisberg vorstellen. Die sichtbare Spitze des Eisbergs sind die Reports und Analysen im Process Mining Tool. Das ist der Teil, den die meisten Analysten und sonstigen Benutzer des Tools zu Gesicht bekommen.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

IBM Journey to AI blog

OCTOBER 2, 2024

Inconsistent data quality: The uncertainty surrounding the accuracy, consistency and reliability of data pulled from various sources can lead to risks in analysis and reporting. The consumer can create a “Python script” connection in Microsoft Power BI and start creating BI reports for further BI analysis on data products.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. INTRODUCTION Data visualization is one of the important aspects of. The post Embed PowerBI report in Jupyter Notebook using “powerbiclient” appeared first on Analytics Vidhya.

Data Visualization 235

Data Visualization Data Science Analytics Analytics 235

Data Science Dojo

JULY 3, 2024

R : Often used for statistical analysis and data visualization. Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Machine Learning Engineer Machine learning engineers will use data much differently than business analysts or data analysts.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

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 will typically perform data analytics when collecting, cleaning and evaluating data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

MARCH 27, 2024

The exam will cover all aspects of using Snowflake and its components to apply data analysis principles, from preparing and loading data to presenting data and meeting business requirements. I found the Data Engineering Simplified’s playlists particularly beneficial during my studies.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

FEBRUARY 9, 2023

With Snowflake, manufacturers can easily access and analyze data from a wide range of sources, including production data, customer data, and supply chain data, to make informed decisions and optimize their operations. In Conclusion Analytics is a powerful asset that can be used in many different ways in manufacturing.

Analytics 52

Analytics Analytics Power BI Data Warehouse 52

Mlearning.ai

JULY 11, 2023

For instance, feature engineering and exploratory data analysis (EDA) often require the use of visualization libraries like Matplotlib and Seaborn. Moreover, tools like Power BI and Tableau can produce remarkable results. In the data science industry, effective communication and collaboration play a crucial role.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Pickl AI

APRIL 10, 2023

Making reports and visuals: SQL data analysts are responsible for creating reports and visualisations that aid stakeholders in comprehending and interpreting data. They must be proficient in data visualisation and can produce eye-catching visuals using Tableau, Power BI , or Excel.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

ODSC - Open Data Science

JANUARY 7, 2025

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Knowing all three frameworks covers the most ground for aspiring data science professionals, so you cover plenty of ground knowing thisgroup.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

JUNE 4, 2024

Healthcare Data Scientists use a variety of tools, including programming languages like Python and R, Machine Learning libraries like TensorFlow and scikit-learn, and data visualization tools like Tableau and Power BI. They also use specialized healthcare analytics platforms and databases.

Data Science 52

Data Science Big Data Analytics Big Data Analytics Predictive Analytics 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Collaborating with Teams: Working with data engineers, analysts, and stakeholders to ensure data solutions meet business needs.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Alation

JANUARY 17, 2023

A modern data stack can streamline IT bottlenecks, accelerating access to various teams that require data: Data analysts. Data scientists. Software engineers. Cloud engineers. Data engineers. Basically, a modern data stack can be adopted by any company that wants to improve its data management.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

SEPTEMBER 12, 2023

Career Progression As you gain experience and expertise in Data Science, you have the opportunity for career progression. Roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Data Engineer offer clear pathways for growth and specialization.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 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 That’s why it’s so valuable to have experienced data engineers on your side, like the ones here at phData.

Clustering 98

Clustering Database SQL Data Pipeline 98

Pickl AI

JULY 18, 2024

2024’s top Power BI interview questions simplified. More to discover: Top 35 Data Analyst Interview Questions and Answers 2023. Data Engineering Interview Questions and Answers. By familiarising yourself with these concepts, you’ll be better prepared for more advanced topics and real-world applications.

Database 52

Database SQL Data Analyst Database Administration 52

Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Microsoft Azure Cloud is favored by many companies, especially for European industrial companies, due to its scalability, flexibility, and industry-specific solutions.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Mlearning.ai

MAY 3, 2023

I have Lead & Managed a team of data analysts, business analysts, data engineers, ML engineers, DevOps engineers, and Data Scientists. I have worked on several key strategic & data-monetization initiatives in the past.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

phData

MARCH 7, 2025

How Copilot Can Enhance Your Workflow Here are just a few ways Copilot can supercharge your data workflows: Boost Productivity: Let’s be honest, some data tasks are tedious. Copilot automates those repetitive tasks, like writing DAX queries or creating Power BI visuals, so that you can focus on the big picture.

Power BI 52

Power BI SQL Data Engineering Data Engineer 52