Data Science Dojo

DECEMBER 14, 2023

Join us as we delve into each of these top blogs, uncovering how they help us stay at the forefront of learning and innovation in these ever-changing industries. Here are 7 types of distributions with intuitive examples that often occur in real-life data.

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How to Learn Machine Learning

DECEMBER 11, 2022

In this article we will provide a brief introduction to Pandas, one of the most famous Python libraries for Data Science and Machine learning. Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning.

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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. Machine learning knowledge. Data visualization capability. Data Mining skills. Data wrangling ability.

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ODSC - Open Data Science

FEBRUARY 20, 2023

I spent a day a week at Amazon, and they’ve been doing machine learning going back to the early 90s to find patterns and also make logistics decisions. Whereas the kind of current machine learning style thinking that federated learning, the ChatGPT do, is they don’t consider these issues.

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ODSC - Open Data Science

FEBRUARY 15, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC East’s training sessions, workshops, and talks.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Heartbeat

DECEMBER 27, 2023

Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. It will further explain the various containerization terms and the importance of this technology to the machine learning workflow. Yes, they do, but partially.

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Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

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ODSC - Open Data Science

MARCH 20, 2023

We’re still hammering out the details and exact titles, but a tentative list of topics includes: An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization Day 1: Tuesday, May 9th In-Person Day 1 ODSC East 2023 will feature (..)

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ODSC - Open Data Science

AUGUST 17, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.

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ODSC - Open Data Science

APRIL 6, 2023

Here are a few sessions that you can check out soon: March 2, 2023: ODSC East Bootcamp Warmup: Data Primer Course —  now available on-demand!

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ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

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ODSC - Open Data Science

MARCH 2, 2023

Improving your data literacy not only involves hard skills, such as programming languages, but soft skills such as interpersonal communication, and stakeholder relations, as well as blended skills such as data visualization. Both of these are important to predictive models in data science, machine learning, and AI.

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Pickl AI

JULY 18, 2023

Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data. Cross-disciplinary collaboration: Data science often involves collaborating with experts from different domains, including computer science, mathematics, business, and domain-specific fields.

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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.

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Pickl AI

AUGUST 9, 2024

Students should learn about data wrangling and the importance of data quality. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. What are the Ethical Considerations in Big Data?

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Pickl AI

JUNE 21, 2023

Enroll in data science courses or bootcamps: Participating in structured data science programs specifically designed for non-technical backgrounds can provide you with a comprehensive understanding of the field. Look for programs that cover topics such as machine learning, data visualization, and predictive modeling.

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Pickl AI

JULY 10, 2023

R is a popular programming language and environment widely used in the field of data science. It provides a comprehensive suite of tools, libraries, and packages specifically designed for statistical analysis, data manipulation, visualization, and machine learning.

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Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

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ODSC - Open Data Science

JANUARY 29, 2024

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies.

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IBM Journey to AI blog

DECEMBER 16, 2022

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

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phData

NOVEMBER 4, 2024

Dataiku is an advanced analytics and machine learning platform designed to democratize data science and foster collaboration across technical and non-technical teams. Snowflake excels in efficient data storage and governance, while Dataiku provides the tooling to operationalize advanced analytics and machine learning models.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels. Register now while tickets are 50% off. Prices go up Friday!

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learn data science

SEPTEMBER 3, 2020

When you import data to Exploratory it used to save the data in a binary format called RDS on the local hard disk. This is the data at the source step (the first step in the right hand side) before any data wrangling. That’s all for the Exploratory v6.1

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ODSC - Open Data Science

MARCH 27, 2025

Mastering tools like LLMs, prompt engineering, and data wrangling is now essential for every modern developer. ODSC Highlights ODSC AI Bootcamp Primer Course: AI & Machine LearningModeling Tuesday, April 1st, 2:00 PMET This course is designed to introduce participants to the basics of AI and machine learning.

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The Data Administration Newsletter

FEBRUARY 19, 2025

Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. Data […] These issues slow analysis pipelines and demand time-consuming cleanup.

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