Innovation - A new or improved idea, device, product, etc, or the development thereof.
Version History Tab, in Code.org, is used to go back.
How does a computer work? With hardware and software.
Hardware โ Circuits, Chips, Wires, Speakers, Plugs
Software โ all the computer programs or code running on a machine(computer). Apps, Games,
Websites, Maps, Creative, Analysis
How does the software and work together in a computer? Through the CPU
CPU โ Master chip that controls all the other parts of a computer. It has circuits to do math and logic
and other circuits to send and receive information to and from different parts of the computer.
Binary Code is the most basic form of software and it controls all the hardware of the computer.
These days, no one makes software in binary code, it would take forever.
Software for these days include Python, Ruby, and Blockly.
Operating System of a computer is the master program that manages how software uses the hardware
of a computer. Ex. Windows, Android, OSX and IOSI
Data science is one of the fastest growing and most in-demand careers today.
Learning skills in data science is an exciting way to grow or change your career.
Data scientists are needed across many industries. Job openings are surging because businesses are
producing useful data in expanding volumes.
Expert data scientists are hired to accomplish tasks such as to predict market trends, boost sales
conversion rates and chart business development.
Data scientists analyze information. They take a multidisciplinary perspective, drawing from areas such
as programming, machine learning, statistics, software engineering, human behavior analysis, linear
algebra, experimental science and data intuition. Data scientists solve problems and find new insights
into how an objective can be achieved.
After asking questions related to a fundamental problem, data scientists will work with raw data,
collecting, organizing and analyzing it. They create and use algorithms for the identification of patterns
and trends in the work of answering questions.
Then, after answering the questions at hand, data scientists use the analyzed data to create
visualizations. This is an important part of task of presenting data analysis and findings. Insights must be
shown in a way that is accessible for colleagues who aren't trained or knowledgeable in technology.
As a data scientist, you examine data to achieve insights and present these insights to other
professionals. This must be done in a way that people without a technical background can understand.
Data scientists need to have skills in areas such as computer science, analytics, statistics, modelling and
