Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. With numerous resources available, mastering Python opens up exciting career opportunities. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Programming languages such as Python and R are essential for advanced analytics. Data Science Certification Course by Pickl.AI

Data Analyst 110

Data Analyst SQL Python AWS 110

ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

Pickl AI

DECEMBER 4, 2024

Programming Skills Proficiency in programming languages like Python and R is crucial for data manipulation and analysis. Data Wrangling The process of cleaning and preparing raw data for analysis—often referred to as “ data wrangling “—is time-consuming and requires attention to detail.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

ODSC - Open Data Science

DECEMBER 19, 2024

Starting with beta coefficients in linear models, Giorgio dives into global and local explainability, providing attendees with practical insights and hands-on examples in a Python Jupyter Notebook.

AI 40

AI AI Data Wrangling Machine Learning 40

Pickl AI

AUGUST 21, 2023

Data Scientists play a crucial role in collecting, cleaning, and analyzing data, ultimately guiding organizations to make informed decisions. Software engineering concepts facilitate efficient data manipulation, enabling you to design algorithms, create visualizations, and build machine learning models.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Here are some steps to help you make the transition: Assess your current skills: Evaluate your computer science background and identify the skills that can be applied to data science. These may include programming languages (such as Python , R, or SQL), data structures, algorithms, and problem-solving abilities.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52