Data Wrangling, ML and SQL - Data Science Current

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

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

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Data Wrangling with Python

Mlearning.ai

FEBRUARY 21, 2023

The goal of data cleaning, the data cleaning process, selecting the best programming language and libraries, and the overall methodology and findings will all be covered in this post. Data wrangling requires that you first clean the data. In this example, we'll load a CSV file using the read_csv() method.

Data Wrangling

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Journeying into the realms of ML engineers and data scientists

Dataconomy

MAY 16, 2023

Key skills and qualifications for data scientists include: Statistical analysis and modeling: Proficiency in statistical techniques, hypothesis testing, regression analysis, and predictive modeling is essential for data scientists to derive meaningful insights and build accurate models.

Data Scientist

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Webinars

How to Achieve High-Accuracy Results When Using LLMs

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State of Machine Learning Survey Results Part Two

ODSC - Open Data Science

MARCH 13, 2023

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation. What percentage of machine learning models developed in your organization get deployed to a production environment?

Machine Learning

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40 Must-Know Data Science Skills and Frameworks for 2023

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. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

Data Science

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State of Machine Learning Survey Results Part One

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning.

Machine Learning

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Final ODSC East 2023 Schedule Released! Here’s How You Can Spend Your Week

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

Data Science

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Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

ODSC - Open Data Science

FEBRUARY 20, 2023

We’ll also have a series of introductory sessions on AI literacy, intros to programming, etc.

Machine Learning

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

Machine Learning

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5 Must-Know Pillars of a Data Science and AI Foundation

ODSC - Open Data Science

MARCH 2, 2023

SQL Databases might sound scary, but honestly, they’re not all that bad. And much of that is thanks to SQL (Structured Query Language). Believe it or not, SQL is about to celebrate its fiftieth birthday next year as it was first developed in 1974 as part of IBM’s System R Project. Learning is learning.

Data Science

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Attend ODSC West Virtual for Free with the Open Pass

ODSC - Open Data Science

OCTOBER 26, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps with Microsoft LLMs in Data Analytics: Can They Match Human Precision? Primer courses include Data Primer SQL Primer Programming Primer with Python AI Primer Data Wrangling with Python LLMs, Gen AI, and Prompt Engineering Register for free here!

Data Science

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How to become a Data Scientist after 10th?

Pickl AI

MAY 17, 2023

Steps to Become a Data Scientist If you want to pursue a Data Science course after 10th, you need to ensure that you are aware the steps that can help you become a Data Scientist. For instance, calculus can help with optimising ML algorithms. Using Python libraries like pandas can help you better in the process.

Data Scientist

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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

OCTOBER 20, 2023

Nevertheless, many data scientists will agree that they can be really valuable – if used well. And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. in a pandas DataFrame) but in the company’s data warehouse (e.g.,

SQL

SQL Database Data Scientist Python

Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

You should be skilled in using a variety of tools including SQL and Python libraries like Pandas. Machine Learning: Data Science aspirants need to have a good and concise understanding on Machine Learning algorithms including both supervised and unsupervised learning.

Data Science

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

JANUARY 29, 2024

Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn. It’s a pre-trained model capable of various tasks like text classification, question answering, and sentiment analysis.

Data Science

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How Dataiku and Snowflake Strengthen the Modern Data Stack

phData

NOVEMBER 4, 2024

Here are some simplified usage patterns where we feel Dataiku can help: Data Preparation Dataiku offers robust data preparation capabilities that streamline the entire process of transforming raw data into actionable insights. This capability can reveal hidden patterns and optimize data for improved model performance.

Machine Learning

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