Tableau

OCTOBER 8, 2021

Chief Product Officer, Tableau. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. With Tableau, any user can visually explore that data in real time. Francois Ajenstat.

Tableau 133

Tableau Analytics Analytics Machine Learning 133

Tableau

OCTOBER 8, 2021

Chief Product Officer, Tableau. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. With Tableau, any user can visually explore that data in real time. Francois Ajenstat.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

Alation

FEBRUARY 28, 2023

With Alation Connected Sheets, business users can browse and pull the most current, compliant data directly from cloud sources into a spreadsheet – without SQL or subject matter expert assistance. These data objects could include anything from business glossary terms, to a database table or a SQL query with helpful descriptions.

Tableau 52

Tableau SQL Clean Data Database 52

Dataconomy

JULY 28, 2023

Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data. The choice of approach depends on the impact of missing data on the overall dataset and the specific analysis or model being used.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

MARCH 24, 2023

Accordingly, Graduates participating in the Data Science Bootcamps earn technical skills like Data Visualisation, Programming, Statistical Analysis, Data Analysis, etc. Effectively, Data Science Bootcamps help you learn various languages important in Data Science like Python, Python Libraries, Hadoop, R, SQL and Spark.

Data Science 52

Data Science Data Scientist Data Analysis Data Analysis 52

Pickl AI

JANUARY 17, 2023

In a business environment, a Data Scientist is involved to work with multiple teams laying out the foundation for analysing data. This implies that as a Data Scientist, you would engage in collecting, analysing and cleaning data gathered from multiple sources.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 25, 2023

Essential Tools for Data Science To get started, you’ll need to familiarize yourself with essential tools like Python, R, and SQL. These programming languages are widely used in Data Science for data manipulation, analysis, and visualization. These skills are essential for preparing data for modeling.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52