Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 342

Data Science Data Analysis Data Analysis Machine Learning 342

Data Science Dojo

FEBRUARY 9, 2023

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. How does a data analyst use Power BI?

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Data Science Dojo

JULY 21, 2023

Data Analysis Expressions (DAX) is a language used in Analysis Services, Power BI, and Power Pivot in Excel. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

Data Analysis 195

Data Analysis Data Analysis Power BI Data Modeling 195

Data Science Dojo

JULY 21, 2023

Data Analysis Expressions (DAX) is a language used in Analysis Services, Power BI, and Power Pivot in Excel. The Basics of DAX for Data Analysis DAX is a powerful language that can be used to create dynamic and informative reports that can help you make better decisions.

Data Analysis 195

Data Analysis Data Analysis Power BI Data Modeling 195

Flipboard

SEPTEMBER 12, 2023

Discover the full potential of Copilot in Power BI with our step-by-step tutorial. From data analysis to reporting, we guide you through harnessing its capabilities effortlessly.

Power BI 139

Power BI Data Analysis Data Analysis Big Data 139

Data Science Dojo

FEBRUARY 23, 2024

Data science GPTs are the next step towards innovation in various data-related tasks. OpenAI’s GPT store is designed to make AI-powered solutions more accessible to different community members. However, our focus lies on exploring the data science GPTs available on the platform.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

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

Data Science Dojo

SEPTEMBER 11, 2024

These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports. Choose a visual of interest.

Power BI 284

Power BI Data Pipeline Data Warehouse Data Engineering 284

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Advancements in data processing, storage, and analysis technologies power this transformation.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Smart Data Collective

MARCH 9, 2021

When it comes to data analytics , not much is easier to use than a spreadsheet. For this reason, spreadsheets have been the predominant tool when it comes to basic data analysis for the past 20 years. If you work with data, you’ve done work in Excel or Google Sheets. Easy, Powerful, and Flexible. Easy Smeasy.

Data Science 138

Data Science Power BI EDA Python 138

Data Science 101

JANUARY 10, 2020

Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

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.

Data Science 328

Data Science ML ML Analytics 328

Data Science Dojo

MAY 22, 2023

Benefits of data visualization Data visualization has several advantages for business analytics, including 1. Improved communication and understanding of data Visualizations make it easier to communicate complex data to stakeholders who may not have a background in data analysis.

Data Visualization 284

Data Visualization Analytics Analytics Power BI 284

Analytics Vidhya

APRIL 11, 2023

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

Dataconomy

JUNE 1, 2023

Microsoft Fabric combines multiple elements into a single platform – Image courtesy of Microsoft The contribution of Power BI The integration of Microsoft Power BI and Microsoft Fabric offers a powerful combination for organizations seeking comprehensive data analytics and insights.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

Data Science 195

Data Science AI AI SQL 195

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

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

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?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

OCTOBER 30, 2024

Summary: In Power BI, slicers and filters serve distinct purposes. Slicers are visual elements that allow users to interactively filter data on the report canvas, enhancing user experience. Filters, on the other hand, are backend features that refine data at various levels—visual, page, or report—without direct user interaction.

Power BI 52

Power BI Business Intelligence Business Intelligence Data Analysis 52

Pickl AI

OCTOBER 23, 2024

Summary: This section outlines key mistakes to avoid when creating dynamic visual displays in Power BI. Introduction In a world where data is growing exponentially, effective visualisation is crucial. Introduction In a world where data is growing exponentially, effective visualisation is crucial.

Power BI 52

Power BI Data Analysis Data Analysis Analytics 52

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Mlearning.ai

JULY 7, 2023

The problem may occur when you want to import an Excel file in SharePoint to Power BI. When you try to get data via the Excel workbook, you have to go to the file location. Get data via the Excel workbook There is another way that I usually use. After that, paste the copied path in the URL in Power BI.

Power BI 52

Power BI Data Science ML ML 52

Towards AI

NOVEMBER 15, 2023

print(llm("Suggest 3 bday gifts for a data scientist"))>>> 1. A subscription to a data science magazine or journal2. A set of data science books3. A data science-themed mug or t-shirt As you can see, we initialize an LLM and call it with a query. content)>>>1.

Data Scientist 131

Data Scientist Data Science Data Visualization Data Analysis 131

Mlearning.ai

AUGUST 25, 2023

When you’re making bar charts or column charts in Power BI (a tool for showing data visually), sometimes you want to add a special bar. So, in simpler terms, this message talks about adding a total bar to your charts in Power BI. Please clap and follow me for more data science articles.

Power BI 52

Power BI Clustering Data Visualization Data Science 52

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

NOVEMBER 5, 2024

Summary: This guide highlights the best free Data Science courses in 2024, offering a practical starting point for learners eager to build foundational Data Science skills without financial barriers. Introduction Data Science skills are in high demand. billion in 2021 and projected to reach $322.9

Data Science 52

Data Science Machine Learning Machine Learning Python 52

DrivenData Labs

MARCH 26, 2024

Combining large-scale Earth observation data with other data types enabled many participants to better understand specific issues or locales. For example, honorable mention winner Data Science Nigeria combined satellite imagery with reports of violent incidents from ACLED to better identify areas at high risk of hunger.

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Power BI Data Scientist Python Machine Learning 264

Data Science Dojo

JULY 5, 2023

For data scrapping a variety of sources, such as online databases, sensor data, or social media. Cleaning data: Once the data has been gathered, it needs to be cleaned. This involves removing any errors or inconsistencies in the data.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

SQL 98

SQL Data Scientist Database Data Science 98

Pickl AI

JUNE 4, 2024

Summary: The healthcare industry is undergoing a data-driven revolution. Data Science is analyzing vast amounts of patient information to predict diseases before they strike, personalize treatment plans based on individual needs, and streamline healthcare operations. quintillion bytes of data each year [source: IBM].

Data Science 52

Data Science Big Data Analytics Big Data Analytics Predictive Analytics 52

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