Smart Data Collective

AUGUST 29, 2022

For years, spreadsheet programs like Microsoft Excel, Google sheet, and more sophisticated programs like Microsoft Power BI have been the primary tools for data analysis. With anomaly detection, you can easily identify suspicious groups of users, defective products, or abnormalities in the client’s data.

ML 132

ML ML Analytics Analytics 132

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

JANUARY 27, 2020

They both are aimed at easing the working process, releasing from manual work, speeding up the decision-making process, and making it more data-driven. Somewhat similar definitions might be misleading. Let’s once and for all draw a distinction between these two definitions. When in fact, it is not the same intelligence.

AI 136

AI AI Business Intelligence Business Intelligence 136

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. Deployment and Monitoring Once a model is built, it is moved to production.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

FEBRUARY 2, 2025

Data visualization tools like Tableau and Power BI can be applied to inform decisions. Definition and Scope of a Business Analysts Work Your work as a BA extends beyond crunching numbers. Ultimately, your expertise in data analysis and business strategy propels innovation, minimizes risks, and drives sustainable growth.

Power BI 52

Power BI Analytics Analytics Tableau 52

Pickl AI

APRIL 9, 2025

It helps retrieve values from tables based on specific conditions, making it a powerful tool for data analysis in Power BI and Excel. By the end, you’ll have a solid grasp of how and when to leverage dax lookupvalue in your Power BI reports or Excel Power Pivot models.

Power BI 52

Power BI Data Modeling Data Models Data Analysis 52

Pickl AI

FEBRUARY 22, 2024

Summary: Dive into programs at Duke University, MIT, and more, covering Data Analysis, Statistical quality control, and integrating Statistics with Data Science for diverse career paths. offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

AUGUST 27, 2024

Summary: This blog provides a comprehensive overview of data collection, covering its definition, importance, methods, and types of data. It also discusses tools and techniques for effective data collection, emphasising quality assurance and control.

Data Analysis 52

Data Analysis Data Analysis Database Power BI 52

Pickl AI

JULY 12, 2023

We are living in a world where data drives decisions. Data manipulation in Data Science is the fundamental process in data analysis. The data professionals deploy different techniques and operations to derive valuable information from the raw and unstructured data.

Data Analysis 52

Data Analysis Data Analysis Database Clean Data 52

Pickl AI

AUGUST 9, 2024

Improved Data Navigation Hierarchies provide a clear structure for users to navigate through data. Enhanced Data Analysis By allowing users to drill down into data, hierarchies enable more detailed analysis. Instead, focus on the most relevant levels for analysis.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

Pickl AI

NOVEMBER 6, 2023

Communication and Storytelling: Data Visualization is an effective way to communicate complex data and findings to both technical and non-technical audiences. Visual representations make it easier to convey information, present key findings, and tell compelling stories derived from data.

Data Visualization 52

Data Visualization Data Science Data Scientist Data Analysis 52