Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Data Science Dojo

JUNE 7, 2023

Data Science is a field that encompasses various disciplines, including statistics, machine learning, and data analysis techniques to extract valuable insights and knowledge from data. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

JUNE 28, 2023

Data is driving most business decisions. In this, data modeling tools play a crucial role in developing and maintaining the information system. Moreover, it involves the creation of a conceptual representation of data and its relationship. Data modeling tools play a significant role in this.

Data Modeling 52

Data Modeling Data Models Database SQL 52

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads. These tools allow users to handle more advanced data tasks and analyses.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Smart Data Collective

MAY 29, 2023

With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information. Before moving into the hiring process though, it would be helpful to narrow down what type of data your business is managing. Here are the differences, generally speaking.

Data Analyst 104

Data Analyst SQL Data Scientist Data Analysis 104

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 52

Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. Available Data The Data Bank team has prepared a data model for this case study as well as a few example rows from the complete dataset below to get you familiar with their tables.

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. Key Takeaways It transforms raw data into actionable, interactive visualisations. Why Power BI?

Power BI 52

Power BI Azure SQL Business Intelligence 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Dataconomy

MAY 2, 2023

By acquiring expertise in statistical techniques, machine learning professionals can develop more advanced and sophisticated algorithms, which can lead to better outcomes in data analysis and prediction. Data modeling involves identifying underlying data structures, identifying patterns, and filling in gaps where data is nonexistent.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

MARCH 4, 2024

With its intuitive interface, Power BI empowers users to connect to various data sources, create interactive reports, and share insights effortlessly. Optimising Power BI reports for performance ensures efficient data analysis. What is Power BI, and how does it differ from other data visualisation tools?

Power BI 52

Power BI Data Analysis Data Analysis Data Models 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

Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management.

SQL 52

SQL Database Big Data Big Data 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. in an enterprise data warehouse. What is a Datamart? A replacement for datasets.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Women in Big Data

NOVEMBER 27, 2024

By maintaining historical data from disparate locations, a data warehouse creates a foundation for trend analysis and strategic decision-making. Its PostgreSQL foundation ensures compatibility with most SQL clients. The Message Passing Layer ensures efficient communication between components.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Expertise in tools like Power BI, SQL, and Python is crucial.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

AUGUST 9, 2024

Improved Data Navigation Hierarchies provide a clear structure for users to navigate through data. Enhanced Data Analysis By allowing users to drill down into data, hierarchies enable more detailed analysis. They enable intuitive querying and reporting by providing a clear structure for data exploration.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

Pickl AI

JUNE 12, 2023

Tableau is an interactive platform that enables users to analyse and visualise data to gain insights. A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

AUGUST 28, 2023

Direct Query and Import: Users can import data into Power BI or create direct connections to databases for real-time data analysis. Data Transformation and Modeling: Power Query: This feature enables users to shape, transform, and clean data from various sources before visualization.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Mlearning.ai

FEBRUARY 13, 2023

With the use of keys, relational databases can easily define relationships between data elements, making them ideal for structured data like customer information, financial transactions, and product inventory. Some of the most popular relational databases include Oracle, MySQL, and Microsoft SQL Server. Popular relational DBs 2.

Database 52

Database Data Models Data Modeling Big Data 52

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JANUARY 28, 2025

They are useful for big data analytics where flexibility is needed. Choosing the right storage solution depends on the organization’s needs for speed, scalability, and type of analysis. Data Modeling Data modeling involves creating logical structures that define how data elements relate to each other.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

phData

MARCH 4, 2024

Cortex Snowflake Cortex is Snowflake’s fully managed service for fast data analysis and AI development within its ecosystem, utilizing machine learning to provide automated predictions and insights. This provides a unique opportunity for anyone creating an AI model using data in Snowflake.

AI 52

AI AI ML ML 52

phData

JULY 14, 2023

It serves as a comprehensive solution for connecting to diverse data sources and creating compelling visualizations. Data Analysis Expressions (DAX) is the formula expression language employed in Power BI. With DAX, you can construct intricate calculations and queries on data residing in the Power BI data model.

Power BI 52

Power BI Data Analyst SQL Business Intelligence 52

Mlearning.ai

JULY 2, 2023

Protection against notorious menaces like Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), and SQL Injection attacks comes as a natural part of the Django experience. With Django, handling vast and intricate datasets becomes a seamless endeavor, and navigating complex data models feels like a walk in the park.

Data Science 52

Data Science Analytics Analytics Python 52

DagsHub

APRIL 21, 2024

Similar to TensorFlow, PyTorch is also an open-source tool that allows you to develop deep learning models for free. Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. compute instances, storage) used to run Airflow and store workflow data.

Machine Learning 59

Machine Learning Machine Learning ML ML 59