Analytics Vidhya

JANUARY 24, 2023

According to Scalegrid’s 2019 database trends report, SQL is the most popular database form, with more than 60% of its use. MySQL is the most common SQL database, while MongoDB […] The post Understanding Neo4j Graph Databases: Purpose and Functionality appeared first on Analytics Vidhya.

Database 328

Database SQL Analytics Analytics 328

Data Science Dojo

OCTOBER 31, 2024

They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies. Their role is crucial in understanding the underlying data structures and how to leverage them for insights.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Analytics Vidhya

MAY 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

Azure 373

Azure Analytics Analytics Predictive Analytics 373

KDnuggets

OCTOBER 9, 2019

Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.

Data Analysis 135

Data Analysis Data Analysis SQL Data Science 135

Flipboard

NOVEMBER 10, 2023

The blog covers cheat sheets on SQL, statistics, pandas, data visualization, scikit-learn, Git, and theoretical data science concepts.

Data Science 174

Data Science Data Visualization SQL 174

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. Learn Power BI with this crash course in no time!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

KDnuggets

OCTOBER 16, 2019

Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need.

Natural Language Processing 151

Natural Language Processing Data Visualization SQL Data Analysis 151

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Data Science Dojo

MAY 10, 2023

Data Analyst Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to identify patterns and trends. They require strong analytical skills, knowledge of statistical analysis, and expertise in data visualization.

Data Science 298

Data Science Data Scientist Database Administration Machine Learning 298

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.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Data Science Dojo

JUNE 7, 2023

The primary aim is to make sense of the vast amounts of data generated daily by combining statistical analysis, programming, and data visualization. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Data Science Dojo

MAY 1, 2023

Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive.

Python 225

Python Machine Learning Machine Learning Data Science 225

ODSC - Open Data Science

APRIL 6, 2023

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. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 130

Natural Language Processing Deep Learning Deep Learning Data Analysis 130

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science SQL AI AI 195

Data Science Dojo

APRIL 18, 2023

Skills for data analysts 2023 10 essential skills for data analysts to have in 2023 Here are 10 essential skills for data analysts to have in 2023: 1. Data Visualization: Topping the list of skills for data analysts data visualization stands first.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Libraries and Tools: Libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and Tableau are like specialized tools for data analysis, visualization, and machine learning.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineering Data Engineering Data Engineer 195

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.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Data Science Dojo

MAY 1, 2023

Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive.

Python 195

Python Machine Learning Machine Learning Data Science 195

ODSC - Open Data Science

NOVEMBER 3, 2023

Data visualization tools turn insights and data into something understandable, especially for non-data stakeholders who may not share the same skillsets as the team who’s behind the data. So let’s take a look at seven trending data visualization tools that have gotten quite a bit of attention on GitHub this year.

Data Visualization 52

Data Visualization Python Data Science SQL 52

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

ODSC - Open Data Science

FEBRUARY 24, 2023

While machine learning frameworks and platforms like PyTorch, TensorFlow, and scikit-learn can perform data exploration well, it’s not their primary intent. There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Pickl AI

JULY 3, 2024

Summary: Master SQL ranking functions to analyze data order and uncover trends. Introduction to SQL Ranking In the realm of Data Analysis, extracting insights often goes beyond simple aggregations. Introduction to SQL Ranking In the realm of Data Analysis, extracting insights often goes beyond simple aggregations.

SQL 52

SQL Data Analysis Data Analysis Database 52

Data Science Dojo

OCTOBER 4, 2024

Key Skills Required Knowledge of Algorithms and Predictive Models: Proficiency in using algorithms and predictive models to forecast future trends based on present data. Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts.

Computer Science 391

Computer Science Computer Science Database Administration Data Scientist 391

ODSC - Open Data Science

FEBRUARY 2, 2023

This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on. Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

AWS Machine Learning Blog

DECEMBER 11, 2024

With an Amazon Q custom plugin that uses an internal library used for natural language to SQL (NL2SQL), the same that powers generative SQL capabilities across some AWS database services like Amazon Redshift, we will provide the ability to aggregate and slice-and-dice the opportunity pipeline and trends in product consumption conversationally.

AWS 101

AWS Database AI AI 101

Smart Data Collective

SEPTEMBER 21, 2020

Generally derived from conventional SQL databases, graph databases convert SQL information using GraphQL and allow users to better visualize relationships between individual data points.

Big Data 143

Big Data Big Data Database SQL 143

Smart Data Collective

SEPTEMBER 26, 2021

You can finally understand what you’re looking at and what the data is saying. The format can be classified by size, but you can choose to organize data horizontally or vertically/by column. It doesn’t matter if you use graphs or charts, you need to get better at data visualization. Speaking of which.

Database 130

Database Data Visualization Big Data Big Data 130

Dataconomy

MAY 16, 2023

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Data Science Dojo

SEPTEMBER 11, 2024

In the sales context, this helps monitor sales data in Power BI reports and trigger alerts or actions based on real-time changes, ensuring that sales teams can respond quickly to critical events. This enables a deep analysis of sales data, helping to identify what drives demand and what affects sales performance.

Power BI 233

Power BI Data Pipeline Data Warehouse Data Engineering 233

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.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. He asks, “How important is SQL in comparison to Python in 2019?”. However, you have to know SQL.

Data Wrangling 98

Data Wrangling Data Scientist SQL Data Science 98

Analytics Vidhya

MAY 21, 2023

Introduction Not a single day passes without us getting to hear the word “data.” This is precisely what happens in data analytics. People equipped with the […] The post 10 Best Data Analytics Projects appeared first on Analytics Vidhya. It is almost as if our lives revolve around it. Don’t they?

Analytics 357

Analytics Analytics Power BI Hadoop 357

Mlearning.ai

APRIL 29, 2023

Submission Suggestions 8-Week SQL Challenge: Data Bank was originally published in MLearning.ai You’d love to interact with the dashboard here. And feel free to say hi on Linkedin and connect with me on Twitter. ?? BECOME a WRITER at MLearning.ai

SQL 52

SQL Power BI Cloud Data Data Analysis 52