Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Analytics technology has become an invaluable aspect of modern financial trading. Unfortunately mastering the nuances of financial analytics tools isn’t easy.

Algorithm 133

Algorithm Analytics Analytics Data Analysis 133

Pickl AI

JUNE 25, 2023

From small start-ups to multinational corporations, companies across the globe are leveraging the power of analytics to drive productivity, optimize their operations and make informed decisions. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. What is Business Analytics?

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ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently.

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Analytics Analytics Data Analyst SQL 52

Dataconomy

FEBRUARY 6, 2017

Data-driven businesses are five times more likely to make faster decisions than their market peers, and twice as likely to land in the top quartile of financial performance within their industries. The post 6 Ways Business Intelligence is Going to Change in 2017 appeared first on Dataconomy.

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Analytics Vidhya

APRIL 17, 2023

Are you a data enthusiast looking to break into the world of analytics? The field of data science and analytics is booming, with exciting career opportunities for those with the right skills and expertise. So, let’s […] The post Data Scientist vs Data Analyst: Which is a Better Career Option to Pursue in 2023?

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Analytics Vidhya

AUGUST 30, 2022

These are data science interview questions and are based on data science topics. The post Frequently Asked Data Science Interview Questions appeared first on Analytics Vidhya. Though some of the questions may sound basic, these are frequently […].

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Analytics Vidhya

FEBRUARY 5, 2024

This surge in internet penetration underscores the pervasive influence […] The post 20 Technologies in Data Science for Professionals appeared first on Analytics Vidhya. As of January 2024, 5.35 billion individuals were connected to the Internet, constituting 66.2 percent of the world’s population.

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Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. The post Guide For Data Analysis: From Data Extraction to Dashboard appeared first on Analytics Vidhya.

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Data Analysis Data Analysis Data Science Analytics 390

Analytics Vidhya

APRIL 3, 2023

With its advanced natural language processing capabilities, ChatGPT can uncover hidden patterns and trends in your data that you never thought possible. In this blog post, we’ll explore how ChatGPT can revolutionize your data with […] The post Analyzing Data Made Effortless Using ChatGPT appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 26, 2023

Enter the era of Citizen Data Scientists – a new breed of empowered individuals with the skills and […] The post Who are Citizen Data Scientists and What Do they Do? appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 12, 2022

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Machine learning knowledge. Work in a Variety of Industries. Boost Problem-Solving Skills.

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Analytics Vidhya

JANUARY 25, 2023

The World Happiness Report rates happiness on six indicators: positive emotions, […] The post Analysing World Happiness Report (2020-2022) appeared first on Analytics Vidhya. In line with the latest World Happiness Report, it is evident that being happy has become a worldwide priority.

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Analytics Vidhya

DECEMBER 13, 2021

The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […].

Data Science 326

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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. Wrapping it up !!!

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Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Machine Learning. Apache Spark.

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ODSC - Open Data Science

AUGUST 21, 2023

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

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Deep Learning Deep Learning Data Science AI 52

ODSC - Open Data Science

FEBRUARY 8, 2023

This is where the BigQuery data warehouse comes into play. Digital marketing is full of metrics that are part of the analytics routine. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

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Database Business Intelligence Business Intelligence Big Data 97

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning 95

Machine Learning Machine Learning ML ML 95

Pickl AI

FEBRUARY 28, 2023

Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science. Furthermore, they must be highly efficient in programming languages like Python or R and have data visualization tools and database expertise. Who is a Data Analyst? in manipulating and analysing the data.

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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. appeared first on IBM Blog.

Machine Learning 59

Machine Learning Machine Learning Data Science Big Data 59

Alation

JULY 13, 2021

The Five Pain Points of Moving Data to the Cloud. runs Advanced Analytics at TDWI. She has written hundreds of articles on data mining and information technology. Dr. Halper attributes this increase of complex data management to the growing importance of analytics. Fern Halper, Ph.D.

Cloud Data 52

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Pickl AI

MAY 7, 2024

Summary: Struggling to translate data into clear stories? This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. To transform raw data into actionable insights that illuminate the path towards informed decision-making.

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Data Analyst Tableau Data Science Power BI 52

Cambridge Intelligence

JANUARY 30, 2024

The visualization-AI intelligence cycle Accounting for all this, we can expand on the simple fraud management cycle with a new model that plays to the different strengths of visual analytics, AI and human reasoning. When we visualize the entire dataset, we get a clearer idea of its overall shape.

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Pickl AI

APRIL 18, 2023

Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, data mining and data preprocessing.

Data Science 52

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Pickl AI

MARCH 12, 2023

Accordingly, Data Analysts use various tools for Data Analysis and Excel is one of the most common. Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. How to use Excel in Data Analysis and why is it important?

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 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. What is business intelligence?

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. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Data Science Dojo

JANUARY 31, 2023

Lastly, there is the rarity of structured data such as financial transactions. Data types are a defining feature of big data as unstructured data needs to be cleaned and structured before it can be used for data analytics. Both Data Mining and Big Data Analysis are major elements of data science.

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Pickl AI

JUNE 16, 2023

Introduction We live in a data-driven world, and data analytics plays a critical role in analysing consumer behaviour and optimizing business strategies. Market Basket Analysis in Python involves data mining technique that helps retailers increase sales by unfolding the details of customer purchasing patterns.

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IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Data analysis and interpretation The next step is to examine the extracted patterns, trends and insights to develop meaningful conclusions.

Machine Learning 57

Machine Learning Machine Learning Data Mining Data Mining 57

Dataconomy

JULY 28, 2023

By meeting these requirements during data preprocessing, organizations can ensure the accuracy and reliability of their data-driven analyses, machine learning models, and data mining efforts. What are the best data preprocessing tools of 2023?

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Kaggle

APRIL 20, 2020

I’m also a part-time software developer for 11ants analytics. In 2009 and 2010, I participated the UCSD/FICO data mining contests. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1 I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

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Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. You can finally understand what you’re looking at and what the data is saying. It doesn’t matter if you use graphs or charts, you need to get better at data visualization.

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Database Data Visualization Data Warehouse Data Mining 99

Smart Data Collective

OCTOBER 17, 2022

The final point to which the data has to be eventually transferred is a destination. The destination is decided by the use case of the data pipeline. It can be used to run analytical tools and power data visualization as well. Otherwise, it can also be moved to a storage centre like a data warehouse or lake.

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Data Science Blog

FEBRUARY 23, 2023

If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough. And sometimes ad hoc analysis with simple data visualization will help your decision makings.

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