Midterms Flashcards
Data Science Concepts
Data science is a multi-disciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from data.
Data Science = Application of computational and statistical techniques to solve real-world problems.
Data Science is about data gathering, analysis and decision-making.
Data Science is about finding patterns in data, through analysis, and make future predictions.
What does data science impacts
- Searching the web with a search engine
- Using GPS for directions
- Interacting with personalized recommendations
Using Data Science COmpanies are able to make
- Better decisions (should we choose A or B)
- Predictive analysis (what will happen next?)
- Pattern discoveries (find pattern, or maybe hidden information in the data)
Core Elements of Data Science
- Computational -Algorithmic methods and code.
- Statistical - Statistical inference for predictions.
- Real-world Problems - Solving actual world issues, not theoretical models.
Where Data Science is Needed
- For route planning: To discover the best routes to ship
- To foresee delays for flight/ship/train etc. (through predictive analysis)
- To create promotional offers
- To find the best suited time to deliver goods
- To forecast the next years revenue for a company
- To analyze health benefit of training
- To predict who will win elections
WHat does data scientist requires expertise in several backgrounds
Machine Learning
o – Statistics
o – Programming (Python or R)
o – Mathematics
o – Databases
How does a Data Scientist Work?
- Ask the right questions
- Explore and collect data
- Extract the data
- Clean the data
- Find and replace missing values
- Normalize data
- Analyze data, find patterns and make future predictions.
- Represent the result
Search Engines
The most useful application of Data Science
In transport
Also entered in real-time such as the Transport field like Driverless Cars
In Finance
plays a key role in Financial Industries. Financial Industries always have an issue of fraud and risk of losses.
In E Commerce
E-Commerce Websites like Amazon, Flipkart, etc. uses data Science to make a better user experience with personalized recommendations.
In Healthcare
In the Healthcare Industry data science act as a boon.
Image Recognition
Data Science is also used in Image Recognition.
Targeting Recommendation
is the most important application of Data Science.
Airline Routing Planning
With the help of Data Science, Airline Sector is also growing like with the help of it, it becomes easy to predict flight delays.
DATA SCIENCE IN GAMING
In most of the games where a user will play with an opponent i.e. a Computer Opponent, data science concepts are used with machine learning
Medicine and Drug Development
The process of creating medicine is very difficult and time- consuming and has to be done with full disciplined because it is a matter of Someone’s life. Without Data Science
In Delivery Logistic
Various Logistics companies like DHL, FedEx, etc. make use of Data Science.
Autocomplete
is an important part of Data Science where the user will get the facility to just type a few letters or words, and he will get the feature of auto-completing the line.
1960s
The term “Data Science” emerged. Early work in the field was heavily grounded in statistics,
1962
John Tukey’s influential paper, “The Future of Data Analysis,”
1974
Peter Naur used the term “Data Science” and suggested it was connected to the application of data in building models of reality.
1977
The International Association for Statistical Computing (IASC) was formed, bridging traditional statistics and modern computing to transform data into valuable knowledge.
1989
The Knowledge Discovery in Databases workshop
