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How Much do Engineers and Scientists Make? Salary and Employment Statistics

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How Much do Engineers and Scientists Make? Salary and Employment Statistics

Two common statistics that are helpful to know about any college major are: how much money you can expect to make, and the amount of job opportunities. Here I outline the statistics for many of the most majors and careers when it comes to engineering, math and science.

One thing to note is that science majors very often need additional education. Even in the video there are statistics that don't directly say a master's or PhD is required, however, you'll find many of the people in those jobs have one. Engineering jobs on the other hand often don't require anything past a bachelor's degree.

Remember that these statistics are just averages and are not a guarantee of what you'll make. Also note these are NOT starting salaries but rather averages over all people in the fields.

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Data Scientist: Reality vs Expectations 2 ($110,000 Median Salary)

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Data Scientist vs Data Analyst vs Data Engineer - Role, Skills, Salary, Demand | Intellipaat

🔥Intellipaat Data Science Architect Master's course:
In this video you will learn about the difference between Data Scientist vs Data Analyst vs Data Engineer. You will also learn the kind of role they do, skills they should possess, salary they earn and how much is the demand of these three.
#DataScientistvsDataAnalystvsDataEngineer #DataAnalystvsDataEngineervsDataScientist
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Should You Become a Data Scientist? | High Salary, Great Growth and Tons of Jobs | Ask a Dev

Should You Become a Data Scientist? | High Salary, Great Growth and Tons of Jobs | Ask a Dev

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Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science Masters Program | Edureka

** Data Scientist Master Program: **
This Edureka Data Science Jobs, Careers and Salaries video talks all things career in the Data Science. It explains why Data Science is the best career move, right now. Learn about various job roles, salary trends and learning paths in Data Science. Below are the topics covered in this module:
1. Overview of the Market
2. Market trends and Projections
3. Salary Trends
4. Companies Hiring Data Science Professionals
5. Eligibility
6. Current Roles offered in Data Science
7. Skills Required for a job in Data Science
8. Data Science Masters Program@ Edureka

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How it Works?


1. This is a 30-hour Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!


-------------------------------------

About the Course
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.

-------------------------------------

Who should go for this course?

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies

-------------------------------------

Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modeling, statistics, and analytics. To take complete benefit of these opportunities, you need structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.

-------------------------------------

Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

Data Science: Reality vs Expectations ($100k+ Starting Salary 2018)

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Machine Learning Engineer Jobs, Resume & Salary | Machine Learning Engineer Salary Report | Edureka

( Machine Learning Engineer Masters Program: )
This video will provide you with detailed knowledge of who is a Machine Learning Engineer, what are the salary trends, the job trends and the correct format of an ML engineer's resume. This video will also provide you with the job descriptions, roles and the skills required to become one successful ML Engineer.

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#MachineLearningEngineer #MachineLearningEngineerSalary

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About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

----------------------

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

--------------------------------------

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

The Truth About Data Science Salary For Graduates | #047

Today I show you how much data science graduates are actually payed in Germany.

All over the internet you can find that Data Science salary is over 100k Dollars. Data Engineer or Data Scientist. It's way lower then that.

Then I give you a few really good tips on how to choose the right company to work for. Huge corporation, startup or small company? Here's how to choose.

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Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data Science | Simplilearn

This video on Data Science Engineer Career, Salary, and Resume will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.

Below are topics that we will be discussing in the video:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume

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#DataScientist #DataScientistSalary #DataScientistSkills #DataScientistResume #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #SimplilearnDataScience

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:

1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package

The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

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Environmental Engineer Salary in 2019 – How much do environmental engineers make in 2019?

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How much does Environmental engineer make in a year?
In this video, we examine the average Environmental engineer salary in 2019. We gathered data from the Bureau of Labor Statistics (BLS) to determine the average salary of Environmental engineers. We also look at the historical salaries of Environmental engineers.

The Environmental engineers’ incomes are from the Occupational Employment Statistics (OES) program. These salaries do not include bonuses or benefits. In our opinion, these are the most accurate salary numbers (better than indeed, glassdoor, and payscale).

Environmental engineers:
• Prepare, review, and update environmental investigation reports
• Design projects that lead to environmental protection, such as water reclamation facilities or air pollution control systems
• Obtain, update, and maintain plans, permits, and standard operating procedures
• Provide technical support for environmental remediation projects and for legal actions
• Analyze scientific data and do quality-control checks
• Monitor the progress of environmental improvement programs
• Inspect industrial and municipal facilities and programs in order to ensure compliance with environmental regulations
• Advise corporations and government agencies about procedures for cleaning up contaminated sites

Environmental engineers conduct hazardous-waste management studies in which they evaluate the significance of a hazard and advise on treating and containing it. They also design systems for municipal and industrial water supplies and industrial wastewater treatment, and research the environmental impact of proposed construction projects. Environmental engineers in government develop regulations to prevent mishaps.

Some environmental engineers study ways to minimize the effects of acid rain, climate change, automobile emissions, and ozone depletion. They also collaborate with environmental scientists, urban and regional planners, hazardous-waste technicians, and other engineers, as well as with specialists such as experts in law and business, to address environmental problems and environmental sustainability.
__________________________¬-____________________________________________
In this video, Stephen talks about the average Environmental engineer salary nationally and across the United States. “How much does a Environmental engineer make?” is an important question for people trying to choose between different engineering fields. Salaries aren’t everything, but it is a component of a career. Environmental Engineers are well paid engineers that play a vital role in our society.
Career Watch is a career driven Youtube channel devoted to informing people about career trends.
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Big Data Engineer Salary | Big Data Engineer Job, Resume, Salary | Big Data Certification | Edureka

** Big Data Masters Training Program: **
This Edureka video on Big Data Engineer Job, Resume, Salary will tell you various salary perspectives of Big Data Engineer, their job responsibilities & how to prepare a resume. It includes the following topics:

1:13 - Big Data Engineer
2:04 - Big Data Engineer Job Trends
4:35 - Big Data Engineer Salary
6:08 - Big Data Engineer Responsibilities
7:05 - Big Data Engineer Skills
8:27 - How to acquire those skills?

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For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Chemical Engineer Salary in 2019 – How much do chemical engineers make in 2019?

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How much does Chemical engineer make in a year?
In this video, we examine the average chemical engineer salary in 2019. We gathered data from the Bureau of Labor Statistics (BLS) to determine the average salary of chemical engineers. We also look at the historical salaries of chemical engineers and the best states by salary for chemical engineers.

The chemical engineers’ incomes are from the Occupational Employment Statistics (OES) program. These salaries do not include bonuses or benefits. In our opinion, these are the most accurate salary numbers (better than indeed, glassdoor, and payscale).

Chemical engineers:
• Conduct research to develop new and improved manufacturing processes
• Establish safety procedures for those working with dangerous chemicals
• Develop processes for separating components of liquids and gases, or for generating electrical currents, by using controlled chemical processes
• Design and plan the layout of equipment
• Conduct tests and monitor the performance of processes throughout production
• Troubleshoot problems with manufacturing processes
• Evaluate equipment and processes to ensure compliance with safety and environmental regulations
• Estimate production costs for management

Some chemical engineers, known as process engineers, specialize in a particular process, such as oxidation (a reaction of oxygen with chemicals to make other chemicals) or polymerization (making plastics and resins).

Others specialize in a particular field, such as nanomaterials (extremely small substances) or biological engineering. Still others specialize in developing specific products.
In addition, chemical engineers work in the production of energy, electronics, food, clothing, and paper. They must understand how the manufacturing process affects the environment and the safety of workers and consumers.

Chemical engineers also conduct research in the life sciences, biotechnology, and business services.
__________________________¬¬____________________________________________
In this video, Stephen talks about the average Chemical engineer salary nationally and across the United States. “How much does a Chemical engineer make?” is an important question for people trying to choose between different engineering fields. Salaries aren’t everything, but it is a component of a career. Chemical Engineers are well paid engineers that play a vital role in our society.

Career Watch is a career driven Youtube channel devoted to informing people about career trends.

😊 ***Support us by subscribing*** 😊
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Data Scientist vs Web Developer: What's a better career?

The median salary for a mid-level Data Scientist is $128,750 while web developers made a median salary of $67,990. Does that mean it's better to become a data scientist than a web developer? Become a data scientist today:

Though data scientists do get paid more, they require a much higher level of education and most have a master's degree (88%). It's a lot easier to get a web developer job especially if you're looking for remote positions or to work for a smaller company.

Also, web development is more tangible making it an easier subject to learn.

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How To Get A Job in Machine Learning (No Degree Required $121k Salary)

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Data Scientist vs Data Analyst: What's the difference? ($120,000 vs $70,000 salary)

The average salary of a Data Scientist is $120,000, while the average Data Analyst makes $70,000. So can a data analyst become a data scientist?
Learn all the skills you need to get a job in data:

Note: A data analyst can become a data scientist, but it would take a lot of continual education. Becoming a junior software developer will allow for a more natural transition to being a data scientist.

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TOP-11 HIGHEST PAYING JOBS IN THE USA 2017-2018

Top 11 professions that will earn your $100K a year! Let's find out who makes $300K+ on average and what kind of education you need to make that kind of salary. Top-11 jobs with the highest number of job openings (video) -
Start your way to your dream profession by mastering a foreign language and getting experience abroad -
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Salary Comparison Between Data Scientist vs Software Engineer

In this video we will see the Salary comparison between Data Scientist and Software Engineer

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Data Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD

Data Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD

As Data Science jobs are booming across the world, people are swapping their job into the Data Science world. So, what is so attractive about Data Science jobs is it the Salary or the long-term career growth. Yes, it is the current big thing in the world, because of its highly demanding requirement across the industries to handle the enormous big data as well as the salaries of data scientists. So, let’s check the Data Scientist Salaries in India.
What is the Data Science Job Salaries or a Data Scientist Salary?
Data Scientists on an average earn 6,50,000 INR annually as per the Glassdoor statistics. The work experience and skills greatly affect the salary.
 For an Entry-Level Data Scientist, the average salary is Rs 579,714 per annum
 For an Experienced Data Scientist, the average salary is Rs 2,067,820 per annum

Also, some of the in-demand skills for the data science job profile are Data Mining / Data Warehouse, Machine Learning, Java, Apache Hadoop, Python, Artificial Intelligence, and others.
Please like and share the video and kindly give your feedbacks and subscribe the channel for more tutorial videos.
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LinkedIn: Science Salaries in 2018 | Data Scientist Salary | Data Science Career Growth | ACADGILD

As Data Science jobs are booming across the world, people are swapping their job into the Data Science world. So, what is so attractive about Data Science jobs is it the Salary or the long-term career growth. Yes, it is the current big thing in the world, because of its highly demanding requirement across the industries to handle the enormous big data as well as the salaries of data scientists. So, let’s check the Data Scientist Salaries in India.
What is the Data Science Job Salaries or a Data Scientist Salary?
Data Scientists on an average earn 6,50,000 INR annually as per the Glassdoor statistics. The work experience and skills greatly affect the salary.
 For an Entry-Level Data Scientist, the average salary is Rs 579,714 per annum
 For an Experienced Data Scientist, the average salary is Rs 2,067,820 per annum

Also, some of the in-demand skills for the data science job profile are Data Mining / Data Warehouse, Machine Learning, Java, Apache Hadoop, Python, Artificial Intelligence, and others.
Please like and share the video and kindly give your feedbacks and subscribe the channel for more tutorial videos.
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Making $80,000 per Year Right Out of College

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In this video I discuss my personal starting salary as an engineer right out of college as well as my expenses. Of course these numbers are unique to me and will different a lot from person to person and especially country to country.

When you looking at your savings it's important to not think you can afford spending that much every month on extra expenses. Especially for those in their 20's, it's important you save up for the likely possibility of buying a house and starting a family down the road.

My Starting Salary: $76,560/year
Salary after Taxes/401k: $46,335/year ($3861.25/month)
Expenses: $2963/month
Savings: $900/month

Specifics from above numbers are listed in the video.

***************************************************

► For more information on math, science, and engineering majors, check us out at

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Data Scientist Resume | Data Scientist Jobs, Salary & Skills | Data Science Training | Edureka

** Data Scientist Master Program: **
This session on Data Scientist Resume will help you understand the demand and the growth of a Data Scientist and their impact on the business world. The following topics are covered in this session:

1. Who is a Data Scientist?

2. Data Scientist Job Trends

3. Data Scientist Salary Trends

4. Job Description

5. Skills required

6. Data Scientist Resume

Check out our Data Science Tutorial blog series:

Check out our complete Youtube playlist here:

-------------------------------------

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future:

Edureka! organizes live instructor-led webinars on the latest technologies, to stay updated, join our Meetup community:

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Slideshare:

#edureka #datascienceedureka #datascientistresume #datascientistcareer

--------------------------------------
How it Works?

1. This is a 30-hour Instructor-led Online Course.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

-------------------------------------
About the Course

Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.

-------------------------------------

Who should go for this course?

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies

-------------------------------------

Why learn Data Science?

Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modeling, statistics, and analytics. To take complete benefit of these opportunities, you need structured training with an updated curriculum as per current industry requirements and best practices.

Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.

Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.

-------------------------------------

Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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