2019, Data Analysis and Data Visualization

2019

Data Analysis

Data Visualization

KDnuggets™ News 19:n38, Oct 9: The Last SQL Guide for Data Analysis; 4 Quadrants of Data Science Skills and 7 steps for Viral Data Visualization

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

Data Analysis Data Analysis SQL Data Science

Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post

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

Natural Language Processing Data Visualization SQL Data Analysis

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Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

How to Modernize Manufacturing Without Losing Control

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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How to Modernize Manufacturing Without Losing Control

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. What is Data Science? Data Mining Techniques and Data Visualization.

Data Mining

Data Mining Data Mining Data Mining Data Science

Data Science: Create a Data Visualization Using Matplotlib

Mlearning.ai

FEBRUARY 25, 2023

Several stages of analysis are needed to find insights and make the right decisions related to data, one of which is data visualization. Data visualization is an essential part of the data analysis process, as it helps to make sense of large and complex data sets. 2] Matplotlib 3.7.0

Data Visualization

Data Visualization Data Science Python Data Scientist

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams

Towards AI

AUGUST 7, 2024

My story (The Shift from Jupyter Notebooks to VS Code) Throughout early to mid-2019, when I started my data science career, Jupyter Notebooks were my constant companions. Because of its interactive features, it’s ideal for learning and teaching, prototypes, exploratory data analysis projects, and visualizations.

Data Science

Data Science ML ML Data Scientist

Introduction

Towards AI

OCTOBER 31, 2023

Exploratory Data Analysis Next, we will create visualizations to uncover some of the most important information in our data. The graph also shows that the transaction data exhibits seasonality, where around December and January, the monthly transactions usually drop.

Exploratory Data Analysis

Exploratory Data Analysis Tableau Data Visualization Data Analysis

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. VizQL: A domain-specific language for visual, self-service analysis. Sept 2019).

Tableau

Tableau ML ML Database

5 Ingenious Tips For A Promising Big Data Career

Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

Big Data

Big Data Big Data Data Scientist Data Science

Beyond the Checkered Flag: F1 Statistics Explored

Towards AI

NOVEMBER 17, 2023

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. JupyterHub: Used to wrangle, clean, and prepare the dataset for visualization. Read individual CSV files and combine them on race ID, constructor ID, driver ID, circuit ID, and status ID.

Tableau

Tableau Data Science Data Analysis Data Analysis

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Tableau

Tableau ML ML Database

Doing good data means doing no harm

Tableau

NOVEMBER 29, 2021

Data analysis and data communication are fundamental to the way people and businesses understand concepts, make decisions, and create solutions. Anyone who communicates with data needs to be mindful of the impact of the stories they tell. Kristin Adderson. November 29, 2021 - 5:26pm. December 13, 2021.

Tableau

Tableau Data Scientist Data Visualization Data Analysis

How Business Intelligence helps in Decision Making

Pickl AI

APRIL 19, 2023

Solution: Instead, NYSHEX invested in BI, and then they centralized its data into one system. Results: Because of BI implementation in 2019, the company was able to multiply its shipping volume between Asia and U.S. This data is not beneficial until it is churned and filtered. This includes ongoing data analysis and feedback.

Business Intelligence

Business Intelligence Business Intelligence Data Analysis Data Analysis

Doing good data means doing no harm

Tableau

NOVEMBER 29, 2021

Data analysis and data communication are fundamental to the way people and businesses understand concepts, make decisions, and create solutions. . Anyone who communicates with data needs to be mindful of the impact of the stories they tell. Kristin Adderson. November 29, 2021 - 5:26pm. December 13, 2021.

Tableau

Tableau Data Scientist Data Visualization Data Analysis

Present and future of data cubes: an European EO perspective

Mlearning.ai

JANUARY 26, 2023

Presenters and participants had the opportunity to hear about and evaluate the pros and cons of different back end technologies and data formats for different uses such as web-mapping, data visualization, and the sharing of meta-data. Data, 4(3), 92. Achieving the full vision of Earth observation data cubes.

AWS

AWS Database Data Science Clean Data

Linear Regression for tech start-up company Cars4U in Python

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. million units, around 4 million second-hand cars were bought and sold.

Python

Python EDA Exploratory Data Analysis Data Analysis

Managing Dataset Versions in Long-Term ML Projects

The MLOps Blog

MARCH 20, 2023

For example, the Parquet file format can efficiently store and retrieve tabular data. Retrieval Modern machine learning applications require efficient data retrieval by components such as model training, data analysis, and application interfaces. Data Management at Scale. O’Reilly Media, Inc

ML ML Machine Learning Machine Learning

Data Science Current

KDnuggets™ News 19:n38, Oct 9: The Last SQL Guide for Data Analysis; 4 Quadrants of Data Science Skills and 7 steps for Viral Data Visualization

Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post

Webinars

Trending Sources

Top Stories, Oct 7-13: 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis You’ll Ever Need

Webinars

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Data Science: Create a Data Visualization Using Matplotlib

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams

Introduction

Analyzing the history of Tableau innovation

5 Ingenious Tips For A Promising Big Data Career

Beyond the Checkered Flag: F1 Statistics Explored

Analyzing the history of Tableau innovation

Doing good data means doing no harm

How Business Intelligence helps in Decision Making

Doing good data means doing no harm

Present and future of data cubes: an European EO perspective

Linear Regression for tech start-up company Cars4U in Python

Managing Dataset Versions in Long-Term ML Projects

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