Data Science Dojo

MAY 10, 2023

Business Intelligence Analyst Business intelligence analysts are responsible for gathering and analyzing data to drive strategic decision-making. They require strong analytical skills, knowledge of data modeling, and expertise in business intelligence tools.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Pickl AI

NOVEMBER 18, 2024

Here’s why certifications hold significant value: Validate Skills and Expertise: Certifications confirm your competence in Data Analysis, showcasing your ability to handle data, use analytical tools, and generate insights effectively. Focus on R: Deep dive into data wrangling, visualisation, and statistical analysis using R.

Data Analyst 110

Data Analyst SQL Python AWS 110

ODSC - Open Data Science

MARCH 18, 2025

Stefanie Molin, Data Scientist, Software Engineer, Author of Hands-On Data Analysis with Pandas at Bloomberg Stefanie Molin is a software engineer and data scientist at Bloomberg, where she tackles complex information security challenges through data wrangling, visualization, and tool development.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

How to Learn Machine Learning

APRIL 26, 2025

This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

JANUARY 25, 2023

The requirement of SQL in Data Science is to conduct analytical performances on data that are stored in relational databases. While using Big Data Tools, Data Scientists need SQL which helps them in Data Wrangling and preparation. Based on the type of analysis, the SQL Join is performed.

SQL 52

SQL Data Science Database Data Analysis 52

Pickl AI

DECEMBER 4, 2024

Data Wrangling The process of cleaning and preparing raw data for analysis—often referred to as “ data wrangling “—is time-consuming and requires attention to detail. Ensuring data quality is vital for producing reliable results.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52