5 Essential Tools to Start a Career in Data Science and Data Analytics

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5 Essential Tools to Start a Career in Data Science and Data Analytics

Learn these 5 tools to land your first job as Data Scientist or Data Analyst

There are a plethora of tools in the market whether open-source or paid license and upskilling with the relevant ones might help you optimize your portfolio and be operational for your next career in data.

The tools in the scope of this article are among the most used in the industry and have been divided into three main categories such as data analytics visualization, scripting/machine learning, and database management.

Read the full article by Zoumna Keita

AI Algorithm Predicts Future Crimes One Week in Advance With 90% Accuracy

A new computer model uses publicly available data to predict crime accurately in eight cities in the U.S., while revealing increased police response in wealthy neighborhoods at the expense of less advantaged areas.

Advances in artificial intelligence and machine learning have sparked interest from governments that would like to use these tools for predictive policing to deter crime. However, early efforts at crime prediction have been controversial, because they do not account for systemic biases in police enforcement and its complex relationship with crime and society.

University of Chicago data and social scientists have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. It has demonstrated success at predicting future crimes one week in advance with approximately 90% accuracy.

Read the full article by Matt Wood, University of Chicago

Harvard Developed AI Identifies the Shortest Path to Human Happiness

Deep Longevity, in collaboration with Harvard Medical School, presents a deep learning approach to mental health.

Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, an authority on happiness and beauty.

The authors created two digital models of human psychology based on data from the Midlife in the United States study.

The first model is an ensemble of deep neural networks that predicts respondents’ chronological age and psychological well-being in 10 years using information from a psychological survey. This model depicts the trajectories of the human mind as it ages. It also demonstrates that the capacity to form meaningful connections, as well as mental autonomy and environmental mastery, develops with age. It also suggests that the emphasis on personal progress is constantly declining, but the sense of having a purpose in life only fades after 40-50 years. These results add to the growing body of knowledge on socioemotional selectivity and hedonic adaptation in the context of adult personality development.

Read the full article by Deep Longevity Ltd

6 Hierarchical Data Visualizations

Create a variety of data visualizations with hierarchal data

Hierarchical data is a type of data structure where data points are linked to each other through parent-child relationships which form a tree structure. Hierarchal data is a common data structure so it is important to know how to visualize it. The visualization techniques used for this vary from other data structures because of the need to maintain the hierarchical relationship.

This article will show six types of visualizations.

Read the full article by Kruthi Krishnappa

---------------------------------------------------------------------------------------------------------------About Leon Gordon?

Leon Gordon, is a leader in data analytics. A current Microsoft Data Platform MVP based in the UK and partner at Pomerol Partners. During the last decade, he has helped organizations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence and big data.?

Leon is a Thought Leader at the Forbes Tech Council and also an Executive Contributor to Brainz Magazine, a Thought Leader in Data Science for the Global AI Hub, chair for the Microsoft Power BI – UK community group and the DataDNA data visualization community as well as an international speaker and advisor.