Dataconomy

JULY 24, 2023

” 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. Skills in manipulating and managing data are also necessary to prepare the data for analysis.

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ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. 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.

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Pickl AI

FEBRUARY 20, 2025

Summary: This guide demystifies the roles of Business and Data Analysts, highlighting their distinct responsibilities and overlapping skills. Introduction In today’s data-driven world, both Business Analysts and Data Analysts are essential in helping organisations make well-informed decisions.

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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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Pickl AI

JULY 28, 2023

The career of a Data Analyst is highly lucrative today and with the right skills, your dream job is just around the corner. It is expected that the Data Science market will have more than 11 million job roles in India by 2030, opening up opportunities for you. How to build a Data Analyst Portfolio?

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Pickl AI

APRIL 18, 2023

In this blog post, we will explore how to get a Data Analyst job as a Fresher. Accordingly, the blog will explore the skills and tools required for a career in data analysis, the importance of building a strong educational foundation, and strategies for getting a job in data analysis as a fresher.

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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.

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Pickl AI

DECEMBER 25, 2024

Key Tools and Techniques Business Analytics employs various tools and techniques to process and interpret data effectively. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Scientists require a robust technical foundation.

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Alation

NOVEMBER 30, 2022

This could be anything from a business glossary term, to a table in a database, or a SQL query someone has published and described. Within Slack, she searches for an Alation SQL query about customers by industry. Imagine two data analysts are discussing a database table in Slack. Alation Anywhere for Tableau.

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Tableau

JULY 29, 2021

At Tableau, we have had a front-row seat to the rising need for data skills across all organizations, all communities, and groups. From marketing, operations, to sales and all aspects of leadership - everyone needs to know how to read and communicate with data. July 29, 2021 - 11:28pm. July 30, 2021. To mention a few: .

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Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Let’s read the blog to find out!

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Tableau? billion in 2023. from 2022 to 2028.

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Pickl AI

JANUARY 25, 2023

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. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL.

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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. What will our digital future look like?

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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.

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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.

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ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

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Pickl AI

MARCH 31, 2023

Why Switching to Data Analytics is the Right Career Move? There are plenty of contributing factors that make Data Analytics a lucrative career opportunity. Here are some of them: Rising Demand for Data Analysts – There will be a roaring demand for Data Analysts in the coming years.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

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Dataconomy

SEPTEMBER 20, 2023

As time has gone on, and technology has developed, the modern business analyst has emerged from the fold as a power user of modern tools and techniques.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. 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.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

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Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App.

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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.

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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.

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Pickl AI

FEBRUARY 4, 2024

Furthermore, Alteryx provides an array of tools and connectors tailored for different data sources, spanning Excel spreadsheets, databases, and social media platforms. Data Analytics automation Alteryx’s standout feature lies in its capability to automate data analytics workflows. Is Alteryx similar to Tableau?

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Pickl AI

JANUARY 9, 2025

By understanding the Operations Analyst’s evolving duties, aspiring professionals and organisations can align their goals to meet the demands of modern operations management effectively. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

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Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Additionally, reporting is a crucial element of Descriptive Analytics.

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Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. Key Skills Proficiency in data visualization tools (e.g.,

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Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Pickl AI

FEBRUARY 27, 2024

It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization. Participants learn to leverage tools like Excel, Python, and SQL for data manipulation and analysis, enabling better financial modeling and forecasting decision-making.

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Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Frequently Asked Questions What is the list of jobs after BCA?

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Pickl AI

JANUARY 17, 2023

The data would be further interpreted and evaluated to communicate the solutions to business problems. There are various other professionals involved in working with Data Scientists. This includes Data Engineers, Data Analysts, IT architects, software developers, etc.

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Alation

JANUARY 17, 2023

It began when some of the popular cloud data warehouses — such as BigQuery, Redshift , and Snowflake — started to appear in the early 2010s. Later, BI tools such as Chartio, Looker, and Tableau arrived on the data scene. SQL, however, remains a popular query language for both legacy and modern data stacks.

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Alation

FEBRUARY 13, 2020

Meet TrustCheck: Your Spell Check for SQL or BI. With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics.

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