Data Science Dojo

JANUARY 16, 2023

An overview of data analysis, the data analysis process, its various methods, and implications for modern corporations. Studies show that 73% of corporate executives believe that companies failing to use data analysis on big data lack long-term sustainability.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Analytics Vidhya

APRIL 28, 2023

With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? appeared first on Analytics Vidhya.

Analytics 306

Analytics Analytics Data Mining Data Mining 306

Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

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Data Mining Data Mining Data Mining Data Science 144

Data Science Dojo

JANUARY 13, 2023

WiDS aims to promote gender diversity in the tech industry, and to support the career development of women in data science. 3. Gartner Data and Analytics Summit – Florida, United States The Gartner Data and Analytics Summit is an annual conference that is held in Florida, United States.

Data Science 264

Data Science Data Mining Data Mining Data Mining 264

Analytics Vidhya

JULY 12, 2023

One often encounters datasets with categorical variables in data analysis and machine learning. By transforming category data into numerical labels, label encoding enables us to use them in various algorithms. […] The post How to Perform Label Encoding in Python? appeared first on Analytics Vidhya.

Python 269

Python Machine Learning Machine Learning Data Analysis 269

Data Science Dojo

MAY 10, 2023

As the volume and complexity of data continue to surge, the demand for skilled professionals who can derive meaningful insights from this wealth of information has skyrocketed. 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.

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Data Science Data Scientist Database Administration Machine Learning 326

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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Big Data Big Data Data Mining Data Mining 370

Smart Data Collective

FEBRUARY 9, 2022

Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Unfortunately mastering the nuances of financial analytics tools isn’t easy.

Analytics 145

Analytics Algorithm Analytics Data Analysis 145

Analytics Vidhya

JUNE 28, 2023

appeared first on Analytics Vidhya. We now have very sophisticated AI lead-generating solutions that produce high-quality leads faster than conventional approaches […] The post How Does AI Help in Lead Generation?

AI 337

AI AI Analytics Analytics 337

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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Data Analyst Data Scientist Data Science Analytics 306

Analytics Vidhya

MAY 15, 2024

However, online scraping provides an automated method for rapidly and effectively gathering […] The post A Comprehensive Guide to Web Scraping Using Selenium appeared first on Analytics Vidhya.

Analytics 317

Analytics Analytics Data Mining Data Mining 317

Pickl AI

FEBRUARY 21, 2023

Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Data Mining is typically necessary for analysing large volumes of data by sorting the datasets appropriately. What is Data Mining and how is it related to Data Science ?

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

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Big Data Analytics Big Data Analytics Big Data Big Data 122

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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Natural Language Processing Analytics Analytics EDA 329

Analytics Vidhya

APRIL 13, 2023

As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

Data Science 336

Data Science Data Scientist Analytics Analytics 336

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.

Analytics 323

Analytics Analytics Data Mining Data Mining 323

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.

Citizen Data Scientist 306

Citizen Data Scientist Data Scientist Data Science Analytics 306

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.

Data Science 302

Data Science Analytics Analytics Data Mining 302

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

Business Intelligence Business Intelligence Power BI Data Analysis 178

Analytics Vidhya

APRIL 29, 2023

These alarming numbers underscore the need for robust data security measures to protect sensitive information such as personal data, […] The post What is Data Security? Threats, Risks and Solutions appeared first on Analytics Vidhya.

Analytics 288

Analytics Analytics Data Mining Data Mining 288

Flipboard

JANUARY 26, 2025

Data mining and pattern recognition are essential fields in computer science that focus on extracting meaningful information from large datasets.

Data Mining 55

Data Mining Data Mining Data Mining Computer Science 55

Data Science Dojo

FEBRUARY 2, 2023

Enroll in ‘ Python for Data Science ’ To learn Python and its effective use in data analysis, analytics, machine learning, and data science. 3. Data Analysis Data analysis is an essential skill for many fields, and Python is an excellent language for working with data.

Python 195

Python Data Analysis Data Analysis Data Science 195

Smart Data Collective

NOVEMBER 12, 2022

If you are considering a data analyst career, here are some reasons that may help solidify your decision. Unsurprisingly, those pursuing careers in data analysis are highly sought after. As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills.

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Data Analyst Data Analysis Data Analysis Data Wrangling 143

Analytics Vidhya

FEBRUARY 19, 2022

The post Structured Query Language (SQL) for All appeared first on Analytics Vidhya. A comprehensive guide on basic to advance SQL with examples […].

SQL 271

SQL Data Science Analytics Analytics 271

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Smart Data Collective

NOVEMBER 1, 2020

Overall, clustering is a common technique for statistical data analysis applied in many areas. Dimensionality Reduction – Modifying Data. k-means Clustering – Document clustering, Data mining. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. Source ].

Machine Learning 145

Machine Learning Machine Learning Clustering Data Mining 145

Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Smart Data Collective

DECEMBER 19, 2021

Therefore, if you don’t preprocess the data before applying it in the machine learning or AI algorithms, you are most likely to get wrong, delayed, or no results at all. Hence, data preprocessing is essential and required. Python as a Data Processing Technology. Why Choosing Python Over Other Technologies in FinTech?

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Python Machine Learning Machine Learning Algorithm 141

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. What is Data Analysis? What does Excel Do?

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 52

Data Science Dojo

MAY 16, 2023

“Data science and sales are like two sides of the same coin. You need the power of analytics to drive success.” 6 marketing analytics features to drive greater revenue 5. However, gathering relevant data is essential for your analysis, depending on your technique and goals to enhance sales.

Data Science 195

Data Science Algorithm Natural Language Processing Data Mining 195

IBM Journey to AI blog

APRIL 15, 2024

Despite heavy investments in databases and technology, many companies struggle to extract further value from their data. Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives.

Analytics 81

Analytics Analytics Data Silos AI 81

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

SEPTEMBER 25, 2023

It can generate the correct contact information of their target market, which can, in […] The post Top 10 Web Scraping Projects to Do in 2023 appeared first on Analytics Vidhya. Web scraping has various uses for large business organizations.

Database 190

Database Analytics Analytics Data Mining 190

Dataconomy

MAY 17, 2024

Given your extensive background in administration and management, how do you envision specific data science tools, such as predictive analytics, machine learning, and data visualization, and methodologies like data mining and big data analysis, could enhance public administration and investment management?

Predictive Analytics 91

Predictive Analytics Data Science Data Analysis Data Analysis 91

Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

Pickl AI

OCTOBER 3, 2024

Summary: Predictive analytics utilizes historical data, statistical algorithms, and Machine Learning techniques to forecast future outcomes. This blog explores the essential steps involved in analytics, including data collection, model building, and deployment. What is Predictive Analytics?

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