ODSC - Open Data Science

MAY 26, 2023

We will kick the conference off with a virtual Keynote talk from Henk Boelman, Senior Cloud Advocate at Microsoft, Build and Deploy PyTorch models with Azure Machine Learning. Both virtual and in-person attendees will have a wide range of training sessions, workshops, and talks to choose from.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Data Analysts drive data-driven success in modern organisations by combining technical proficiency with analytical insight. Cloud Integration: Learn Data Analysis with Microsoft Azure tools.

Data Analyst 110

Data Analyst SQL Python AWS 110

ODSC - Open Data Science

OCTOBER 26, 2023

Our virtual partners include: Microsoft Azure | Qwak | Tangent Works | MIT | Pachyderm | Boston College | ArangoDB | DataGPT | Upsolver On-Demand Training You’ll also have access to our on-demand Primer Courses that cover a wide range of data science topics essential for success in the field. So, don’t delay.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

Pickl AI

MAY 15, 2024

Data Analyst to Data Scientist: Level-up Your Data Science Career The ever-evolving field of Data Science is witnessing an explosion of data volume and complexity. Familiarize yourself with their services for data storage, processing, and model deployment.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 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 Data Science 52

ODSC - Open Data Science

APRIL 6, 2023

Many cloud providers, such as Amazon Web Services and Microsoft Azure, offer SQL-based database services that can be used to store and analyze data in the cloud. These services often provide integration with other cloud services, such as data storage and processing tools, to create end-to-end data workflows.

SQL 98

SQL Data Scientist Database Data Science 98

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. Learn working with Big Data: In order to become Data Scientist, working with large datasets is a given.

Data Scientist 52

Data Scientist Data Science Data Wrangling SQL 52

ODSC - Open Data Science

JANUARY 18, 2024

Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. Believe it or not, these skills are valuable in data engineering for data wrangling, model deployment, and understanding data pipelines. Learn more about the cloud.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

JUNE 7, 2024

Azure Data Factory Azure Data Factory is a cloud-based ETL service offered by Microsoft that facilitates the creation of data workflows for moving and transforming data at scale. Flexibility: Users can interact with Data Factory through a no-code graphical interface or a command-line interface.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

ODSC - Open Data Science

JANUARY 29, 2024

Python boasts a vast ecosystem of libraries like TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn, empowering prompt engineers to handle data wrangling and analysis seamlessly. Additionally, prompt engineering relies heavily on machine learning tasks like fine-tuning, bias detection, and performance evaluation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. You can check the different Markdown syntax options in Markdown Cells — Jupyter Notebook 6.5.2 documentation.

SQL 52

SQL Database Data Scientist Python 52