Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

Smart Data Collective

APRIL 13, 2021

Citing statistics from the Accenture 9th Annual Cost of Cybercrime Study , Accenture Managing Director Robert Kress submits that “humans are still the weakest link when it comes to an organization’s cybersecurity defenses.” Employee training.

Testing 124

Testing Behavioral Analytics Data-driven Big Data 124

Smart Data Collective

NOVEMBER 25, 2021

Likewise, the most fundamental things that constitute the university experience (like lectures, seminars, and group exercises) can be orchestrated in the virtual world. First of all, let’s look into some statistics. It highlights the need for data encryption and other data security measures. What Research Shows.

Big Data 97

Big Data Risk Data-driven ROI 97

Depict Data Studio

MAY 8, 2023

If you already teach Excel at conferences or in seminars, you don’t need this class. Davey Strategies “I am a university researcher and have a lot of familiarity with data collection and statistical analysis programs/platforms (e.g. This workshop is highly interactive. ” – Lynn Davey, Ph.D, SPSS, SAS, etc.),

Dashboards 52

Dashboards Visualization Reporting Interactive 52