Data Science Dojo

OCTOBER 31, 2024

Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications. Demand for applied ML scientists remains high, as more companies focus on AI-driven solutions for scalability.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

DECEMBER 25, 2024

Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Both fields offer roles across industries like finance, retail, and healthcare.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Dataconomy

JULY 24, 2023

Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. Learn relevant tools Familiarize yourself with data science tools and platforms, such as Tableau for data visualization, or Hadoop for big data processing. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Mlearning.ai

FEBRUARY 22, 2023

This could involve using a distributed file system, such as Hadoop, or a cloud-based storage service, such as Amazon S3. This could involve using tools like Tableau or Power BI to create visualizations and dashboards. This could involve batch processing or real-time streaming, depending on your needs.

Big Data 52

Big Data Big Data Power BI Hadoop 52

Mlearning.ai

MARCH 15, 2023

Experience with visualization tools like; Tableau and Power BI. Knowledge of big data platforms like; Hadoop and Apache Spark. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI. Basic programming knowledge in R or Python.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52