IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. These may range from Data Analytics projects for beginners to experienced ones.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

NOVEMBER 4, 2024

They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly. With Pandas, you can easily clean, transform, and analyse data. Mastering libraries like Matplotlib and Seaborn will empower you to create compelling visualisations that tell a story with data.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JUNE 7, 2024

Businesses might need to invest additional resources to fix data issues, integrate disparate systems, or replace the inadequate tool entirely. Long-Term Data Management Strategies Investing in the right ETL tool offers numerous long-term benefits. Read More: Advanced SQL Tips and Tricks for Data Analysts.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. It is critical for knowing how to work with huge data sets efficiently. Also Read: How to become a Data Scientist after 10th?

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JULY 10, 2023

R’s NLP capabilities are beneficial for analyzing textual data, social media content, customer reviews, and more. · Big Data Analytics: R has solutions for handling large-scale datasets and performing distributed computing.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52