How to Learn Machine Learning

DECEMBER 11, 2022

Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language. It is used by us, almighty data scientists and analysts to work with large datasets, perform complex operations, and create powerful data visualizations.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

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. SQL Databases might sound scary, but honestly, they’re not all that bad. Learning is learning.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

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. Day 1: Monday, October 30th (Bootcamp, VIP, Platinum) Day 1 of ODSC West 2023 will feature our hands-on training sessions, workshops, and tutorials and will be open to Platinum, Bootcamp, and VIP pass holders.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 7, 2023

Humans and machines Data scientists and analysts need to be aware of how this technology will affect their role, their processes, and their relationships with other stakeholders. There are clearly aspects of data wrangling that AI is going to be good at. Chat interfaces can be viewed as another step up the ladder of abstraction.

AI 59

AI AI Data Wrangling Data Science 59

Pickl AI

JUNE 21, 2023

Gain knowledge in data manipulation and analysis: Familiarize yourself with data manipulation techniques using tools like SQL for database querying and data extraction. Also, learn how to analyze and visualize data using libraries such as Pandas, NumPy, and Matplotlib.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

Pickl AI

AUGUST 9, 2024

Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities. Businesses need to analyse data as it streams in to make timely decisions. This diversity requires flexible data processing and storage solutions.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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

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

learn data science

SEPTEMBER 3, 2020

This is the data at the source step (the first step in the right hand side) before any data wrangling. This is to improve the data loading performance. And, this is not only for SQL queries but also works for MongoDB queries and other data wrangling steps such as Filter, Create Calculation, etc. ?

SQL 52

SQL Data Wrangling Data Science Analytics 52

Pickl AI

MARCH 18, 2024

Drag and drop data fields into the “Rows,” “Columns,” “Values,” and “Filters” sections of the PivotTable Fields list to organize and analyze your data. Ensure headers are clear and data types are formatted correctly (currency for “Sales Amount”).

Data Wrangling 52

Data Wrangling Data Analysis Data Analysis Data Visualization 52

ODSC - Open Data Science

JANUARY 29, 2024

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

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. These issues slow analysis pipelines and demand time-consuming cleanup.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Database 52