Data Analysis, ETL and Power BI - Data Science Current

A Data Analysis Project — Coffee Shop Sales Analysis.

Towards AI

APRIL 2, 2024

Photo by Nathan Dumlao on Unsplash Let’s dive into the world of data analysis. Assuming that you are a data analyst, If not I will help you to become a data analyst by taking you through my experience in the field of data analysis. There is just efficient or inefficient data analysis only.

Data Analysis

Data Analysis Data Analysis Data Analyst Power BI

Differentiation: Microsoft Fabric vs Power BI

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

Power BI Analytics Analytics Machine Learning

Introduction to Power BI Datamarts

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

Power BI Data Warehouse ETL Data Preparation

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Turn the face of your business from chaos to clarity

Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

Power BI

Power BI Data Preparation Exploratory Data Analysis Machine Learning

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

APRIL 6, 2023

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. One set of tools that are becoming more important in our data-driven world is BI tools.

SQL

SQL Data Scientist Database Data Analysis

Unlock Productivity: How to Use AI in Excel for Smart Solutions

Pickl AI

SEPTEMBER 10, 2024

By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets.

Power BI

Power BI Data Analysis Data Analysis AI

The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Section 2: Explanation of the ETL diagram for the project. Section 4: Reporting data for the project insights. ETL ARCHITECTURE DIAGRAM ETL stands for Extract, Transform, Load.

Business Intelligence

Business Intelligence Business Intelligence ETL Power BI

From zero to BI hero: Launching your business intelligence career

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

Business Intelligence Business Intelligence Data Analysis Data Analysis

From zero to BI hero: Launching your business intelligence career

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

Business Intelligence Business Intelligence Data Analysis Data Analysis

A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science

Data Science Machine Learning Machine Learning Data Visualization

Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics

Analytics Analytics Data Analyst Data Science

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. Explain the Extract, Transform, Load (ETL) process.

Data Analyst

Data Analyst Data Analysis Data Analysis Machine Learning

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

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. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering

Data Engineering Data Engineering Data Engineer Data Engineering

Who is a BI Developer: Role, Responsibilities & Skills

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence

Business Intelligence Business Intelligence SQL Data Visualization

Hierarchies in Dimensional Modelling

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

Data Warehouse Data Quality ETL Business Intelligence

Data Science Current

A Data Analysis Project — Coffee Shop Sales Analysis.

Differentiation: Microsoft Fabric vs Power BI

Webinars

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Introduction to Power BI Datamarts

Webinars

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Turn the face of your business from chaos to clarity

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

Unlock Productivity: How to Use AI in Excel for Smart Solutions

The project I did to land my business intelligence internship?—?CAR BRAND SEARCH

From zero to BI hero: Launching your business intelligence career

From zero to BI hero: Launching your business intelligence career

A Guide to Choose the Best Data Science Bootcamp

Top Data Analytics Skills and Platforms for 2023

Top 50+ Data Analyst Interview Questions & Answers

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Who is a BI Developer: Role, Responsibilities & Skills

Hierarchies in Dimensional Modelling

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