How Can Health Startups Best Monetize Data?
The Data Explosion is real -- we are not only producing more data than ever before, we are also producing it at a faster rate. The graph below is for overall data but representative...
Anomaly Detection with Z-Score: Pick The Low Hanging Fruits
This article introduces an unsupervised anomaly detection method which based on z-score computation to find the anomalies in a credit card transaction dataset using Python step-by-step.
Anomaly detection techniques can be applied to resolve various challenging...
Secret of Capitalism’s Success, from Data Science’s Perspective
Data scientists perceive the world as data-processing systems, and this view is being increasingly adopted in economics and politics: after all, we think of the economy not as consisting of a myriad of individual...
Privacy vs. Alpha: A Conversation
You are the CEO of a well-known asset management company and are sitting in a meeting with a new data vendor, your new portfolio manager (PM) who is an expert in alternative data, and...
5 Actionable Tips for Summarizing Your Data for Presentations
No matter what field you are in, giving a presentation is part and parcel of the job. You may have data to share with your team, your managers, or with stakeholders, and presentations are...
CCPA 2020: An Ultimate Guide and its Impact on U.S Companies
CCPA, California Consumer Privacy Act passed in late June 2018. AB 375, that could have more reverberations on the US companies as compared to EU’s General Data Protection Regulation (GDPR). The broader vision of...
Tech Injects Data Into Branding
Social media is abuzz with “personal branding,” but identity creation stretches far even when the internet is disconnected. People want to see entrepreneurs in person just like the brands they see online. Sprinkle in...
Data Structures — Array
Now, We will start talking about Array as the simplest data structure that we can deal with.
Array is used to store similar type data.
We need array in cases we have a large number of...
Watch Out for the 9 Most Popular AI Jobs in 2020
If you are ready to learn, retrain, reskill and upscale then AI is a field with tremendous opportunities for you. However, the key here is to stay ahead of the technology by upgrading your...
What Does a Data Scientist Do?
Big Data era has generated new types of professions. These new professions are related to data and their approach to data. Some of the notable professions are Data Scientist, Machine Learning Engineer and IoT...
Our Big Data Identities
We live in identity economics. Social media channels keep our digital selves keep streaming together. Given the influence of big data and surveillance capitalism upon our lives, Mark Zuckerberg suggested that there can be no...
Why Every Organization Needs a Data Analyst
There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, the first idea is to look for a data...
Guide to Using Free Alternative Datasets to find Trading Ideas
Alternative Datasets
Traditional metrics used when making investing decisions while broad, tend to come from the same set of data points: Financial metrics, Business Operations, Competitor Performance, etc. Alternative data extends the definition of data...
Using Data Governance to Drive Self-Service Analytics
The explosive growth of data shows no signs of stopping. In fact, the accumulated volume of data will reach 163 zettabytes by 2025. Recognizing the importance of data as valuable assets, companies are increasingly...
How Web Scraping and Data analysis can Help to Grow Your Business?
You’ve probably heard how data analysis is impacting our lives. It is much easier for Businesses and Enterprises to analyze their customers’ behaviors and market demands with valuable data in hands.
Wal-Mart, in order to...
Top 5 Skills Needed for the Future of Finance & Business
If you’re looking to make it big in the world of Finance and Business, you’ll need more than just a stash of good grades and recommendations!
Business demands of the 21st century demand great analytical...
Is it Worth Pursuing a Career in Data Science & Artificial Intelligence
Transitioning into data science or an artificial intelligence career is a hard nut to crack. And it is not because of what you hear people talking rumors about how you need to learn mathematics,...
Why did the Tech hub of San Francisco ban Facial Recognition?
To put it simply... the fledgling technology is "Racist." Not the best course of action for the tech hub city as the proponents of technology would argue, but San Francisco's metropolis’ Board of Supervisors...
Models and Techniques of Algorithmic Accountability based on Predicted Variables
Machine learning (ML) has become an indispensable part of the modern way of living; yet when it comes to establishing user trust, still no in-depth discussion seems to have taken place regarding the use...
Linear Discriminant Analysis in the Financial Market
When it comes to finance, every investor wants to make sure they are putting their money in the right places. The last thing they need is having one of their debtors or investments go...
