Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JUNE 19, 2024

Here are some of the most common backgrounds that prepare you well: Mathematics and Statistics These disciplines provide a rock-solid understanding of data analysis, probability theory, statistical modelling, and hypothesis testing – all essential tools for extracting meaning 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). For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze the database through Athena. Mohan has Computer Science and Engineering from JNT University, India.

AWS 137

AWS AI AI Database 137

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. Programming Languages (Python, R, SQL) Proficiency in programming languages is crucial. SQL is indispensable for database management and querying.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Dataconomy

MAY 2, 2023

Additionally, statistics and its various branches, including analysis of variance and hypothesis testing, are fundamental in building effective algorithms. While many machine learning engineers hold advanced degrees in computer science, statistics, or related fields, a degree is not always a requirement for breaking into the field.

ML 110

ML ML Machine Learning Machine Learning 110

Pickl AI

SEPTEMBER 12, 2024

A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52