Flipboard

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule. She likes working at the intersection of math, programming, data science, and content creation. So yeah, happy automating!

Python 159

Python Natural Language Processing Data Science Machine Learning 159

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 337

Power BI Data Pipeline Data Warehouse Data Engineer 337

Data Science Blog

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. Data Lakes : It supports MS Azure Blob Storage. pipelines, Azure Data Bricks.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

databricks

JUNE 12, 2025

The Future of Databricks One This is just the beginning for Databricks One. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Data Engineering 233

Data Engineering Data Engineer Data Engineering Data Engineering 233

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

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 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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

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

Pickl AI

JUNE 5, 2025

It highlights the growing opportunities and challenges in India’s dynamic data science landscape. Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Who is a Data Scientist?

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

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

ODSC - Open Data Science

APRIL 6, 2023

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. But why is SQL, or Structured Query Language , so important to learn? Finally, SQL’s window function.

SQL 98

SQL Data Scientist Database Data Science 98

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

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

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

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

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. For analysis the way of Business Intelligence this normalized data model can already be used.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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

Dataconomy

MARCH 5, 2025

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

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

ODSC - Open Data Science

APRIL 11, 2023

As you could imagine, entering the field of data science can be challenging, as there’s no one-size-fits-all approach to getting one’s foot into the door. So let’s take a look at a few common mistakes that could hamper your entry into the professional world of data science. So, let’s get started! But that’s not all.

Data Science 90

Data Science Data Scientist AI AI 90

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 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

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 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

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. How is Data Engineering Different from Data Science?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 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

Mlearning.ai

MARCH 15, 2023

The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Before going into the main purpose of this article, what is data?

Data Science 52

Data Science Analytics Analytics Data Analyst 52

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

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Analytics Vidhya

MAY 21, 2023

Introduction Not a single day passes without us getting to hear the word “data.” This is precisely what happens in data analytics. People equipped with the […] The post 10 Best Data Analytics Projects appeared first on Analytics Vidhya. It is almost as if our lives revolve around it. Don’t they?

Analytics 357

Analytics Analytics Power BI Hadoop 357

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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

Mlearning.ai

APRIL 29, 2023

Before we dive right in, you’d totally love to check out the deliverables that came with this project (a PowerPoint presentation and a very insightful Power BI dashboard). And I hope that after you’ve gone through my presentation here , you’ll want to invest in Data Bank. See the links below! Now, let’s get started. ?

SQL 52

SQL Power BI Cloud Data Data Analysis 52

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

Smart Data Collective

MAY 20, 2019

By 2020, over 40 percent of all data science tasks will be automated. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

ODSC - Open Data Science

APRIL 26, 2023

As you can imagine, data science is a pretty loose term or big tent idea overall. Though just about every industry imaginable utilizes the skills of a data-focused professional, each has its own challenges, needs, and desired outcomes. What makes this job title unique is the “Swiss army knife” approach to data.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52