Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 130

Data Science Data Scientist ML ML 130

Pickl AI

JUNE 19, 2024

There are beginner-friendly programs focusing on foundational concepts, while more advanced courses delve into specialized areas like machine learning or natural language processing. Statistical methods like hypothesis testing and regression analysis are essential tools for drawing meaningful insights from data.

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

AWS Machine Learning Blog

JUNE 26, 2024

Analysts need to learn new tools and even some programming languages such as SQL (with different variations). Technical architecture and key steps The multi-modal agent orchestrates various steps based on natural language prompts from business users to generate insights.

AWS 130

AWS AI AI Database 130

Dataconomy

MAY 2, 2023

Additionally, statistics and its various branches, including analysis of variance and hypothesis testing, are fundamental in building effective algorithms. Statistics In the field of machine learning, tools and tables play a critical role in creating models from data.

ML 110

ML ML Machine Learning Machine Learning 110

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. You should be skilled in using a variety of tools including SQL and Python libraries like Pandas.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Inferential Statistics: A branch of statistics that makes inferences about a population based on a sample, allowing for hypothesis testing and confidence intervals. Normalisation: The process of scaling individual data points to a common range, often used to improve the performance of Machine Learning algorithms.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52