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.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

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 98

Data Science Data Wrangling Machine Learning Machine Learning 98

ODSC - Open Data Science

MAY 26, 2023

Confirmed sessions include: Introduction to Machine Learning with Julia Lintern, Data Science Instructor, Metis Python Fundamentals with Philip Tracton, Instructor at UCLA Extension, Principal IC Design Engineer at Medtronic An Introduction to Data Wrangling with SQL with Sheamus McGovern, CEO and Software Architect, Data Engineer, and AI expert, ODSC (..)

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Scale is worth knowing if you’re looking to branch into data engineering and working with big data more as it’s helpful for scaling applications. This includes popular tools like Apache Airflow for scheduling/monitoring workflows, while those working with big data pipelines opt for Apache Spark.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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. Lastly, data engineering is popular as the engineering side of AI is needed to make the most out of data, such as collection, cleaning, extracting, and so on.

Machine Learning 116

Machine Learning Machine Learning Deep Learning Deep Learning 116

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.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

phData

DECEMBER 18, 2023

Data engineering refers to the design of systems that are capable of collecting, analyzing, and storing data at a large scale. In manufacturing, data engineering aids in optimizing operations and enhancing productivity while ensuring curated data that is both compliant and high in integrity.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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 52

Analytics Analytics Data Analyst SQL 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data scientists will typically perform data analytics when collecting, cleaning and evaluating data. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 86

Data Science Analytics Analytics Data Scientist 86

Pickl AI

APRIL 10, 2023

Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL. Moreover, SQL is an important tool for conducting Data Preparation and Data Wrangling. For example, Data Analysts who need to use Big Data tools for conducting data analysis need to have expertise in SQL.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

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.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

Mlearning.ai

JULY 9, 2023

Goal The objective of this post is to demonstrate how Polars performance is much better than other open-source libraries in a variety of data analysis tasks, such as data cleaning, data wrangling, and data visualization. ? It is available in multiple languages: Python, Rust, and NodeJS.

Data Analysis 52

Data Analysis Data Analysis Python Data Wrangling 52

ODSC - Open Data Science

JANUARY 29, 2024

Data, Engineering, and Programming Skills Programming Despite the rise of no-code platforms and AI code assistance, programming skills are still essential for training and fine-tuning LLM models, scripting for data processing, and integrating models into applications.

Machine Learning 52

Machine Learning Machine Learning Data Science Natural Language Processing 52

Pickl AI

JULY 18, 2023

Requires a solid understanding of statistics, programming, data manipulation, and machine learning algorithms. Offers career paths as data scientists, data analysts, machine learning engineers, business analysts, and data engineers, among others.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

phData

FEBRUARY 14, 2023

Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues. With Snowflake’s data marketplace, this data can be sourced in just a few clicks from various data providers without any data-wrangling efforts.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52