ODSC - Open Data Science

FEBRUARY 15, 2024

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake. Register by Friday for 50% off! We’ll also touch upon details of their book and what went into writing it.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 31, 2025

Here are the most-read ones since we started this site almost ten yearsago: 12 Excellent Datasets for Data Visualization in2022 15 Open Datasets for Healthcare PyCharm vs. VSCode: Which Is the Better PythonIDE? We hold 35 webinars per year on average and host 15+ meetups in cities like Boston, NYC, DC, Seattle, and London.

Data Science 52

Data Science AI AI Machine Learning 52

Pickl AI

DECEMBER 12, 2023

URL: Towards Data Science on Medium KDnuggets It is a leading platform for data science and machine learning. It provides news, tutorials, and resources for data scientists and analysts. The site also offers job listings, webinars, and comprehensive datasets. URL: DataCamp Blog Pickl.AI URL: Pickl.AI

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 12, 2023

URL: Towards Data Science on Medium KDnuggets It is a leading platform for data science and machine learning. It provides news, tutorials, and resources for data scientists and analysts. The site also offers job listings, webinars, and comprehensive datasets. URL: DataCamp Blog Pickl.AI URL: Pickl.AI

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

NOVEMBER 10, 2023

With the help of these new technologies, data scientists can work faster and more efficiently than ever before. A data science project with Python, VS Code and GitHub Tools Let’s dive deep into some innovative GitHub tools and features that can improve the productivity of your data science workflow.

Data Science 52

Data Science Python Data Scientist Data Visualization 52

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.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

ODSC - Open Data Science

MARCH 30, 2023

Here are 5 reasons why it’s important to always keep learning in data science and AI. Learn about data structures, control structures, functions, models, file handling, and other basics of coding with Python in this upcoming programming primer, included in the Mini-Bootcamp Pass. Register now for 40% off.

Azure 52

Azure ML ML Data Models 52

Pickl AI

AUGUST 21, 2023

Key Takeaways: Data Science is a multidisciplinary field bridging statistics, mathematics, and computer science to extract insights from data. The roadmap to becoming a Data Scientist involves mastering programming, statistics, machine learning, data visualization, and domain knowledge.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data. Addressing real-world problems: Data science enables you to tackle real-world challenges across diverse domains, such as healthcare, finance, marketing, and social sciences.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Below are the essential skills required for thriving in this role: Programming Proficiency: Expertise in languages such as Python or R for coding and data manipulation. Data Visualization: Ability to create compelling visualisations to communicate insights effectively.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Database management:  A BI professional should be able to design and manage databases, including data modeling, ETL processes, and data integration. Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

JULY 17, 2023

Industry-Relevant Curriculum: Data Science Bootcamps are designed to teach skills that are in demand in the industry. They typically focus on the most relevant tools, programming languages (such as Python and R), and techniques used in data science, including Machine Learning, Data Visualization , and Statistical Analysis.

Data Science 52

Data Science Data Visualization Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 27, 2025

ODSC AI Bootcamp Primer Course: Programming withPython Thursday, April 3rd, 2:00 PMET The Python language is one of the most popular programming languages in data science and machine learning, as it offers several powerful and accessible libraries and frameworks specifically designed for these fields.

Machine Learning 52

Machine Learning Machine Learning Data Wrangling Data Science 52