FUTURE JOBS READERS Level 3-⑤ Data Miners.

Slides:



Advertisements
Similar presentations
It’s too hard to improve.. It’s too hard to improve. a) Friends and colleagues accept habits – good and bad. b) Habits are part of personality;
Advertisements

Occupational Career Project By Jimmy Evans. I want to pursue a career in computer engineering. Specifically something in computer software. I think a.
Presented by: Cory Grimes. Work Interests People in this group like jobs where they discover, collect, and study facts about the natural world. They use.
From the colonies to now.  Most people made everything they needed with their hands.  They bought only a few things from stores. The rest of it they.
CAREER CHOICE.. Engineering is about applying math, science, and logic to develop, improve, and test things like buildings, machines, manufacturing processes,
Expert Systems. Expert systems Also known as ‘Knowledge-based systems’:  Computer programs that attempt to replicate the performance of a human expert.
The problem that needs to be solved is if a computer career is for me.
By: WenHao Wu. A current situation that I have is that I cannot decide if a computer career is for me. I am considering any career in computers, but I.
Data Mining Introduction to data mining concepts.
Industry Industry Standard Grade Geography The Human Environment.
Ability you should sharpen yourself to land high paying Carpentry Jobs in Victoria
THE BEST CRM SOFTWARE FOR YOUR BUSINESS
8-2 Data Gathering Warm Up Lesson Presentation Lesson Quiz
Good morning/afternoon everyone
Unit 2 Lesson 7 Introduction to Data.
AP CSP: Data and Trends.
What are you really talking about?
Unit 18 reading What will you think of next?.
The Scientific Inquiry Process ♫A Way to Solve a Problem♫
Should You Become an Entrepreneur?
Fundamentals of Information Systems, Sixth Edition
The Industrial Revolution
Bell Ringer: September 12, 2017 (Write the date, the question, and your answer.) Write a good sentence and describe a possible choice and consequence.
Soft Skills Anthony Stewart.
Internet History Did Al Gore really invent the Internet?
Elementary Career Day My name is Wanda Gass/ Carolyn Tobin
Introduction to Computers
UNIT 2 – CHAPTER 2 – LESSON 7 Introduction to Data.
Title of your science project
Good morning/afternoon everyone
AP CSP: Bytes, File Sizes, and Text Compression
Emotional Intelligence: Social Skills and Interpersonal Skills
Social Worker :).
Online marketing is undoubtedly a great way to grow your business and generate more profits. The latest statistics confirm that a huge number of people.
MATHEMATICAL COMMUNICATION
4.1.
FUTURE JOBS READERS Level 1-① Robotics Engineers.
IoT Marketing Specialists
Computer Intelligence Engineers
Goals Communication training in the IFC
Good morning/afternoon everyone
ALGEBRA 2 WITH TRIG HONORS (Your most important class this year!)
Are you looking for a career?
Chapter Two: Characteristics of Entrepreneurs
Intellectual Property Lawyers
Nanotechnology Research Scientists
The Scientific Inquiry Process ♫A Way to Solve a Problem♫
FUTURE JOBS READERS Level 3-④ Genetic Counselors.
WELCOME TO STATISTICS.
Ad Prima Charter School
FUTURE JOBS READERS Level 1-⑤ Asset Managers.
FUTURE JOBS READERS Level 1-④ Social Media Managers.
Quantum Computer Scientists
FUTURE JOBS READERS Level 2-⑤ Digital Modelers.
Database Administrators
Computer Maintenance Entrepreneurship Trade & Industrial Education
THE NATURE OF SCIENCE.
10 KEY WAYS TO MOTIVATE INDIVIDUALS AND DEVELOP A WINNING TEAM
Good morning/afternoon everyone
Basic Skills Count Applying Other Skills
Do you want to be a By: Ashity Patel.
8-2 Data Gathering Warm Up Lesson Presentation Lesson Quiz
Computer Literacy BASICS
The project partners and their types
Data Gathering Warm Up Lesson Presentation Lesson Quiz
Chapter 6 Finding a Job.
The Nature of Science.
Chapter 13 Section 1.
Title, Hook, and Closing.
Lesson 3.2 Product Planning
Presentation transcript:

FUTURE JOBS READERS Level 3-⑤ Data Miners

What Is Data Mining? What is data mining? Computer data A coal miner What is data mining? Data mining is an area of computer science. It is like coal mining, in which people extract coal from the earth. But data miners work for businesses to extract information from data. Coal

Why do companies need to use data miners? Analyzing a problem on a computer Why do companies need to use data miners? Companies are collecting data every day. All this data can quickly build up, and companies don’t know how to really use their data. A data miner analyzes data to find useful information to help solve problems for clients and even find answers to problems the clients may not know about yet.

A Day in the Life of a Data Miner –Ⅰ How do data miners analyze data? Thinking about information They use computer programs. The computer programs find patterns in large sets of data. Then the data miner explains the patterns and makes a report for the client. Analyzing data to make a report Do computers do all the work? No, data miners must understand the information that the computer gives him or her and be able to explain what it all means to a client.

A Day in the Life of a Data Miner –Ⅱ Sitting at a computer Lots of jobs to do No, among other things to do at work each day, a data miner might brainstorm ways to solve problems. learn new programs. meet with clients. design new processes. Do data miners just sit at computers all day working?

What Kinds of Data Do They Mine? -Ⅰ An ice cream factory A department store Many kinds of data Working at a manufacturing company What kinds of data do data miners mine? All kinds of businesses have data that data miners can work with. Data miners can help manufacturers who want to make their production and storage better. department stores understand the habits of their customers to improve sales.

What Kinds of Data Do They Mine? -Ⅱ Weather information A university program A police car and an officer Who else can data miners help? They can help universities make their programs and classes better. researchers make predictions about weather several years from now. governments stop terrorist attacks.

Education and Training -Ⅰ What kind of education do data miners need? Students studying A university degree Which university programs are related to data mining? A data miner needs a lot of education. First, you have to study for four years to get a university degree. However, that is not usually enough. Most data miners continue studying to get a master’s degree. At many schools, data mining programs are taught by the computer science department and the statistics department.

Education and Training -Ⅱ Communication Giving a presentation A computer error What skills do data miners need? Good communication Data miners must be able to clearly explain things to clients and often present their research at conferences. Creative thinking Data miners work on many difficult problems and must come up with new ways to solve these problems. An eye for details Data miners have to be careful about details because even a small error can cause a whole project to fail.

The Future of Data Mining A connected world More and more data What does the future for data mining look like? As the internet and social media become more and more important, companies are collecting more and more information. As data sets get bigger and bigger, we will need new programs to do data analysis. Data mining will need smart people to make better and faster mining programs.

Vocabulary client n. coal n. a person who uses the services or advice of a professional person or organization coal n. a hard black substance that is dug from the ground and burned as fuel to provide heat

Vocabulary conference n. computer data n. a large meeting, often lasting a few days, where many people make presentations computer data n. information, especially numbers and facts; information stored in a computer

Vocabulary errors n. extract v. a mistake to remove or take out something

Vocabulary miner n. statistics v. someone who works in the industry of removing substances from the ground, or information from a computer file statistics v. the science of using information discovered from collecting, organizing, and studying numbers