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. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. In contrast, Data Science demands a stronger technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science 101

OCTOBER 12, 2023

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. So you use a lot of the Azure tools in your job? I think of Computer Science as a tool. Most of my work is about disinformation and cybersecurity. My data sources are usually news, logs and web documents. If so, which ones?

Azure 64

Azure Computer Science Computer Science Clustering 64

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

APRIL 21, 2025

Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

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. Cloud Platforms: AWS, Azure, Google Cloud, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 13, 2025

Proficiency in programming languages like Python and SQL. Key Skills Experience with cloud platforms (AWS, Azure). Familiarity with SQL for database management. Cloud Computing Skills Familiarize yourself with cloud platforms like AWS , Google Cloud , or Microsoft Azure to manage infrastructure and deploy AI models efficiently.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 30, 2024

Summary: Bioinformatics Scientists apply computational methods to biological data, using tools like sequence analysis, gene expression analysis, and protein structure prediction to drive biological innovation and improve healthcare outcomes. Skills Develop proficiency in programming languages like Python , R, and SQL.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

MAY 17, 2023

Understand Databases: SQL is useful in handling structured data, query databases and prepare and experiment with data. Accordingly, SQL is deployed alongside Python and its libraries thus, requiring you to develop your skills in using SQL. It will help you work with large datasets better and more efficiently.

Data Scientist 52

Data Scientist Data Science Data Wrangling Python 52

Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

SEPTEMBER 18, 2024

Most professionals in this field start with a bachelor’s degree in computer science, Data Science, mathematics, or a related discipline. Tools like pandas and SQL help manipulate and query data , while libraries such as matplotlib and Seaborn are used for data visualisation. accuracy, precision, recall, F1-score).

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: Most people are really surprised to hear that my background in college was not computer science. You see them all the time with a headline like: “data science, machine learning, Java, Python, SQL, or blockchain, computer vision.” For example, you can use BigQuery , AWS , or Azure.

ML 52

ML ML Data Scientist Machine Learning 52