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Data science
Data science is an evolution of the Analytics. Compared to the analytics, it includes more of the business knowledge and understanding, and technically it goes more into the predictive analytics and machine learning. It is usually more flexible and agile, and it has an ability to answer to less traditional questions.
Machine learning
Machine learning represents algorithms that can learn from the data. They allow computers to find hidden insights and patterns in datasets, without being explicitly programmed where to look.
Analytics
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance and interpretation of the results to the decision makers.
Big Data
Big Data represents data that is coming at high speed and is in quantities that exceed the capabilities of traditional software for storing, processing and data management.
Small data
Small data is a dataset that contains very specific attributes. Small data is used to determine current states and conditions or may be generated by analyzing larger data sets.
Data warehouse
Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered as a core component of business intelligence environment. DWs are central repositories of integrated data from one or more disparate sources.

FROM BLOG

 

Recommender Systems and Banks: Precious Recommendation

The client’s path, from conceiving an idea to making it a project in the bank, used to be clear, but unpredictable. It involved a potentially noticed ad or the [...]
Read moreRecommender Systems and Banks: Precious Recommendation

Data Science Academy Finals: „New Knowledge Is Always Welcome”

Students of the first Data Science Academy spent three months on a journey through the world of data science, big data and analytics. Although most of them are [...]
Read moreData Science Academy Finals: „New Knowledge Is Always Welcome”

Data Exploration with Pandas (Part 2)

In the previous article, I wrote about some introductory stuff and basic Pandas capabilities. In this part, the main focus will be on DateTime values. I am also [...]
Read moreData Exploration with Pandas (Part 2)

Big Data and Banking: How Our Data Protects Us

Some of the main tasks for the bankers are, among others, keeping, preserving, deriving more from less, taking the best out of what the clients deposit to them, with [...]
Read moreBig Data and Banking: How Our Data Protects Us

Why the Telco Industry seems destined for Big Data

A man is defined in numerous scientific ways, but one definition seems unchanged since the beginning of time. The man is the creature that communicates – from [...]
Read moreWhy the Telco Industry seems destined for Big Data

Success Formula: Science, Business and Programming

In every business, the ultimate dream is the one about the magic success formula. The search for ingredients is very extensive, but they often live next door. So now [...]
Read moreSuccess Formula: Science, Business and Programming

Anomaly detection

The problem of anomaly detection is a very challenging problem often faced in data analysis. Whether it is about clustering, classification or some other machine [...]
Read moreAnomaly detection

Data Exploration with Pandas (part 1)

If you ever decide to become someone who is into big data, surely you can do it without having a clue about pandas. But that’s not the brightest solution, [...]
Read moreData Exploration with Pandas (part 1)

Handling missing data

Hi, everyone. Although I planned for my next post to be about anomaly detection and their treatment,  I faced some other type of problem that quickly escalated into [...]
Read moreHandling missing data

Forecasting with VAR and Prophet

In my previous post, I tried to present the ARIMA model for forecasting. It was based on the use of autoregression and moving average concepts, combining the [...]
Read moreForecasting with VAR and Prophet

Interactive log analysis with Apache Spark

The Internet is becoming the largest global shop across markets, and anyone who is offering products and services of any kind prefers for web shops to become the [...]
Read moreInteractive log analysis with Apache Spark

Forecasting with ARIMA

One of the most challenging machine learning problems is predicting some output based on the history of its previous values. The complexity of the problem multiplies [...]
Read moreForecasting with ARIMA
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