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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Data Science Dojo

FEBRUARY 9, 2023

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. Check out this course and learn Power BI today!

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Power BI Data Analyst Data Visualization Data Analysis 221

Smart Data Collective

NOVEMBER 12, 2022

Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits. Here comes the role of the data analyst. Unsurprisingly, those pursuing careers in data analysis are highly sought after.

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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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Pickl AI

APRIL 18, 2023

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

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Data Analyst Data Analysis Data Analysis Computer Science 52

Towards AI

OCTOBER 18, 2023

In-depth data analysis using GPT-4’s data visualization toolset. dallE-2: painting in impressionist style with thick oil colors of a map of Europe Efficiency is everything for coders and data analysts. With GPT-4’s Advanced Data Analysis (ADA) toolset, this process becomes significantly more streamlined.

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Pickl AI

MARCH 12, 2023

The demand for Data Analysts is high in the market, considering the large volumes of data engaging business organisations. Data Analysts are crucial for companies to help them gather, analyse and interpret data, allowing them to make better decisions. What is Data Analysis?

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Data Analysis Data Analysis Data Analyst Power BI 52

Dataversity

APRIL 29, 2022

Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields.

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Data Visualization Data Analyst Data Scientist Data Analysis 52

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

Data Science Dojo

MAY 10, 2023

Salary Trends – The average salary for data scientists ranges from $100,000 to $150,000 per year, with senior-level positions earning even higher salaries. Data Analyst Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to identify patterns and trends.

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Towards AI

JANUARY 31, 2024

GPT-4 no-code prompting for rapid data visualization reporting As a computer science professor of 20+ years, I have oodles of experience in coding Python for data visualizations. Until recently, the generation of beautiful data visualizations has been the domain of folks like me — computer programmers and data analysts.

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Data Visualization Data Analyst Computer Science Computer Science 100

IBM Journey to AI blog

OCTOBER 17, 2023

” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. They are being increasingly challenged to improve efficiency and cost savings, embrace automation, and engage in data-driven decision making that helps their organization stand out from the competition.

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Pickl AI

AUGUST 15, 2023

As companies and industries increasingly rely on data to make informed choices, the importance of coding in Data Analytics cannot be overstated. Hence, individuals consider enrolling in the Data Analyst certification course. What is Data Analytics?

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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. Data preparation is an essential step in the data science workflow, and data scientists should be familiar with various data preparation tools and best practices.

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Data Scientist Exploratory Data Analysis Data Visualization Machine Learning 221

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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Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

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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.

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Analytics Analytics Data Analyst SQL 52

Smart Data Collective

MARCH 25, 2021

BI software provides businesses with the opportunity to aggregate and organize data into compatible formats and then present data using a varied range of data reports, charts and graphs. This helps data analysts to understand the relations between business entities and create meaningful links to perform data analytics.

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Analytics Analytics Data Analyst Business Intelligence 125

Pickl AI

FEBRUARY 27, 2024

Summary: Leveraging data skills for Financial Analysts explores how Financial Analysts can harness data skills to enhance their roles. It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization.

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Data Visualization SQL Data Analyst Data Analysis 52

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. It facilitates exploratory Data Analysis and provides quick insights.

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Data Scientist Machine Learning Machine Learning Data Analysis 52

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. Role of Data Scientists Data Scientists are the architects of data analysis.

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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.

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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.

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Data Science Dojo

JANUARY 13, 2023

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success. PAW Climate and Deep Learning World.

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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.

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Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

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Data Scientist Data Science Data Visualization Machine Learning 52

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. However, our focus lies on exploring the GPTs for data science available on the platform. You can upload your data files to this GPT that it can then analyze.

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Data Science Data Analysis Data Analysis ML 363

Pickl AI

JULY 18, 2023

Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JANUARY 30, 2023

Scientific Computing: Use Python for scientific computing tasks, such as data analysis and visualization, Machine Learning, and numerical simulations. Data Visualization: Use libraries such as Matplotlib, Seaborn, Plotly, etc., to visualize and understand data and model performance.

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Python Machine Learning Machine Learning Data Science 97

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?

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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

Dataconomy

AUGUST 16, 2023

Imagine data scientists as modern-day detectives who sift through a sea of information to uncover hidden patterns, trends, and correlations that can inform decision-making and drive innovation. Just like sifting through ancient artifacts, they meticulously clean and refine the data, preparing it for the grand unveiling.

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Pickl AI

APRIL 18, 2023

With the growing use of connected devices, the volumes of data we will create will be even more. Hence, the relevance of Data Analysis increases. Here comes the role of qualified and skilled data professionals. Today the application of Data Science is not limited to just one industry.

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Data Science Machine Learning Machine Learning Data Scientist 52

Dataconomy

JULY 25, 2023

It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends. Data scientists use a combination of programming languages (Python, R, etc.), Conclusion: Is data science a good career?

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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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Data Analyst Data Analysis Data Analysis Data Visualization 52

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. Python, R). After BCA, which course is best for a high salary?

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

It is popular for its powerful data visualization and analysis capabilities. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation.

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52