Pickl AI

FEBRUARY 28, 2023

If you’re an aspiring professional in the technological world and love to play with numbers and codes, you have two career paths- Data Analyst and Data Scientist. What are the critical differences between Data Analyst vs Data Scientist? Who is a Data Scientist? Who is a Data Analyst?

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Data Analyst Data Scientist Data Science Computer Science 52

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Smart Data Collective

JUNE 10, 2022

The role could also involve finding ways to improve the functionality and performance of existing systems and providing access to database analysts and administrators. Business Intelligence Developer. You will need to have a broad range of data expertise to work as a business intelligence developer.

Data Science 144

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Data Science Dojo

JANUARY 16, 2023

Structured data, for example, is the data a company obtains from its users via internal data acquisition methods such as marketing automation tools. More importantly, it follows the usual row-column database and is suited to the company’s exact needs.

Data Analysis 195

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IBM Journey to AI blog

MARCH 14, 2024

The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation.

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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.

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Dataconomy

JULY 24, 2023

You might be asking, “How to become a data scientist with a background in a different field?” ” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL.

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ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. With Great Expectations , data teams can express what they “expect” from their data using simple assertions.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. Basic Business Intelligence Experience is a Must.

Analytics 111

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AWS Machine Learning Blog

AUGUST 8, 2024

Data is the foundational layer for all generative AI and ML applications. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. The following diagram illustrates the solution architecture.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

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Data Science Dojo

FEBRUARY 23, 2024

Since data science GPTs enhance data processing and its subsequent results, they are a fundamental tool for the success of enterprises. A list of best data science GPTs in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular data science GPTs for you to explore.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Data Science Dojo

FEBRUARY 23, 2024

A list of best GPTs for data science in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular GPTs for data science for you to explore. Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization.

Data Science 195

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Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

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Power BI Tableau Business Intelligence Business Intelligence 52

ODSC - Open Data Science

FEBRUARY 13, 2025

Build a Data Analyst AI Agent fromScratch Daniel Herrera, Principal Developer Advocate atTeradata Daniel Herrera guided attendees through the process of building a data analyst AI agent from the ground up.

AI 52

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Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

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Dataconomy

MAY 26, 2025

Predictive modeling in business analytics Predictive modeling plays a critical role in business analytics by: Statistical scoring: Utilizing databases for real-time decision-making support. AI integration: Employing artificial intelligence for automation in response to unexpected events.

Analytics 91

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

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Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever wondered what the future holds for data science careers? Data science has become the topmost emerging field in the world of technology. There is an increased demand for skilled data enthusiasts in the field of data science. Yes, you are guessing it right– endless opportunities.

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Smart Data Collective

OCTOBER 11, 2019

A business dashboard is a data management tool used to track key performance indicators ( KPIs ), metrics and other relevant data points for your business. A digital dashboard is an electronic interface that combines visual data from many sources, which may include databases, locally hosted files, and web services.

Big Data 103

Big Data Big Data Data Analyst Database 103

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Cloud providers offer data redundancy and backup solutions to ensure data durability.

Analytics 203

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Data Science Dojo

SEPTEMBER 5, 2024

programs focusing on statistics, machine learning, and big data. Career Opportunities Software engineer, systems analyst, network administrator, database administrator. Data scientist, data analyst, machine learning engineer, business intelligence analyst.

Computer Science 195

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Data Science Dojo

SEPTEMBER 5, 2024

programs focusing on statistics, machine learning, and big data. Career Opportunities Software engineer, systems analyst, network administrator, database administrator. Data scientist, data analyst, machine learning engineer, business intelligence analyst.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

IBM Journey to AI blog

OCTOBER 14, 2024

“ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

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Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

NOVEMBER 15, 2023

What Is Data Lake? A Data Lake is a centralized repository that allows businesses to store vast volumes of structured and unstructured data at any scale. Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible.

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Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation.

Database 52

Database Analytics Analytics Business Intelligence 52

phData

FEBRUARY 10, 2025

Health Insurance Claims Data: Information related to medical services, procedures, and costs submitted for insurance reimbursement. Telehealth and Telemedicine Data: Patient consultations, remote monitoring, and virtual care interactions. Medical Imaging Data: X-rays, MRIs, CT scans, and other diagnostic imaging results.

Data Analyst 52

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Pickl AI

JANUARY 25, 2023

With numerous job opportunities, Data Science skills have become essential in the market. The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. SQL is the standard language that relational databases uses.

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Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. Data Analysts , however, do not need deep programming knowledge.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Alation

JUNE 28, 2022

A metadata management framework does the same for your data analysts. With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. How Alation Supports a Metadata Management Framework.

Data Governance 52

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Pickl AI

DECEMBER 4, 2023

Profession Description Average per year salary in India Skills required How to gain the skills Data Analyst Responsibilities include collecting, processing, and analysing data to help organisations make informed decisions. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g., 12,00000 Programming (e.g.,

Data Analysis 52

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Pickl AI

OCTOBER 14, 2024

Here are some compelling reasons to consider a Master’s degree: High Demand for Data Professionals : Companies across industries seek to leverage data for competitive advantage, and Data Scientists are among the most sought-after professionals. Data Analyst : ₹7,21,000 per year (average salary: ₹6,50,000 per year).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases. While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

AUGUST 1, 2023

The primary goal of Data Engineering is to transform raw data into a structured and usable format that can be easily accessed, analyzed, and interpreted by Data Scientists, analysts, and other stakeholders. Future of Data Engineering The Data Engineering market will expand from $18.2

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