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 Machine Learning 195

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 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 measured timestamps (and duration times in case of Task Mining) are enhanced with a time-dimension for BI applications.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. This article helps in understanding the importance of data. The post Guide to Data Visualization and Insights appeared first on Analytics Vidhya.

Data Visualization 271

Data Visualization Data Science Analytics Analytics 271

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

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. What is Power BI Datamarts?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

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

AUGUST 16, 2024

Imagine asking a question in plain English and instantly getting a detailed report or a visual representation of your data—this is what GenAI can do. It’s not just for tech experts anymore; GenAI democratizes data science, allowing anyone to extract insights from data easily.

Analytics 195

Analytics Analytics Power BI AI 195

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

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

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

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.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

Dataconomy

MAY 26, 2025

It analyzes data to uncover reasons for occurrences, closely related to descriptive analytics for a comprehensive view. Comparison with related concepts Business analytics intersects with several related fields, each with its nuances. Business analytics is more focused on driving business decisions based on analyzed data.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

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

Dataconomy

MARCH 5, 2025

Basic tools Using Excel allows for straightforward analyses and quick data visualizations. Business intelligence tools Advanced applications such as Power BI and Tableau provide sophisticated data visualization and reporting capabilities.

Analytics 91

Analytics Analytics Predictive Analytics Data Wrangling 91

Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. Data Science Cheat Sheet for Business Leaders In today’s data-driven world, information is power.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

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

Smart Data Collective

MAY 20, 2019

It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one. By 2020, over 40 percent of all data science tasks will be automated. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. Machine Learning Experience is a Must.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

MARCH 19, 2025

Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Introduction Imagine a world where data is a messy jungle, and we need smart tools to turn it into useful insights.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

APRIL 21, 2025

Introduction Data visualization is no longer just a niche skill; it’s a fundamental component of Data Analysis , business intelligence, and data science. I’ve also started learning and working with Tableau Public [or Power BI Desktop , Python libraries like Matplotlib/Seaborn , etc.

Data Visualization 52

Data Visualization Power BI Data Analysis Data Analysis 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. There is a plethora of BI tools available in the market today, with new ones being added yearly.

Big Data 52

Big Data Big Data Power BI Tableau 52

Dataconomy

JUNE 13, 2023

By analyzing market trends, customer behavior, and competitor activities, businesses can make well-informed choices that align with their growth goals and capitalize on market opportunities. From zero to BI hero: Launching your business intelligence career Optimal resource allocation is another key aspect of decision intelligence.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

ODSC - Open Data Science

OCTOBER 30, 2023

In the digital era, data visualization stands as an indispensable tool in the realm of business intelligence. It represents the graphical display of data and information, transforming complex datasets into intuitive and understandable visuals. One of the most potent features of Power BI is Quick Insights.

Data Visualization 52

Data Visualization Power BI Business Intelligence Business Intelligence 52

ODSC - Open Data Science

FEBRUARY 6, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. So get your pass today, and keep yourself ahead of the curve.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 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.

Data Analyst 110

Data Analyst SQL Python AWS 110

ODSC - Open Data Science

FEBRUARY 19, 2024

Most of these features also come with AI assistance to help users find the best way to visualize their data. REGISTER NOW Google Looker Studio Previously known as Google Data Studio, Google Looker Studio empowers users with the ability to transform their data into meaningful and visually appealing reports and dashboards.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

Pickl AI

JANUARY 9, 2025

Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making. Expertise in tools like Power BI, SQL, and Python is crucial. Technical Skills In todays data-centric landscape, proficiency in advanced analytics tools and software is crucial for an Operations Analyst.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

SEPTEMBER 10, 2024

This functionality speeds up data processing and improves accuracy by reducing human errors. Power BI Integration It brings real-time analytics and advanced reporting capabilities to Excel. Power BI’s AI features complement Excel’s functionalities by enabling more sophisticated data visualisations and interactive dashboards.

Power BI 52

Power BI Data Analysis Data Analysis AI 52

Pickl AI

JULY 10, 2024

hours of on-demand video 5 coding exercises 40 articles and 9 downloadable resources Full access on mobile and TV Data Science Job Guarantee Program by Pickl.AI This year-long program guarantees a job in Data Science , providing both conceptual knowledge and technical proficiency. Course Content: 42.5

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Better Data Culture. Good data warehouses should be reliable.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

JULY 12, 2023

We are living in a world where data drives decisions. Also, it is making transformative changes across the business nations. Data manipulation in Data Science is the fundamental process in data analysis. The objective is to enhance the data quality and prepare the data sets for the analysis.

Data Analysis 52

Data Analysis Data Analysis Database Clean Data 52

Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. Data Science Professionals and Consultants involved in building Proof-Of-Concept (POC) projects.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

Pickl AI

DECEMBER 2, 2024

Analytics Tools Once data is stored and processed, analytics tools help organisations extract valuable insights.Analytics tools play a critical role in transforming raw data into actionable insights. Machine Learning Algorithms: These algorithms can identify patterns in data and make predictions based on historical trends.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

AUGUST 9, 2024

Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries. One of the key components of dimensional modelling is the concept of hierarchies.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52