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Learn Data Science to Advance Your Career

Data science is the most important and in-demand skill in almost every industry right now. Learning data science will give you the foundation to start using scientific methods, math, algorithms, and systems to pull knowledge and insights from big data. It’s used to power business and investment decisions, optimize research, optimize retail ventures, and to analyze big data.

  • Overview
  • Career Options
  • Courses

Data science concepts are the building blocks for a variety of careers that work with data. Data science is behind everything from modern marketing tactics to video streaming recommendation engines. It’s also used to train self-driving cars and analyze the results of drug trials.

Big data, which we as humans produce at a rate of over 1 megabyte per second for every person on the planet, has transformed data rapidly. It’s creating millions of jobs as businesses and government entities want to use data to transform the way that they work. Someone needs to harness all of that data.

This massive transformation makes data science one of the most important skills that you can learn right now. The supply of data scientists is much lower than the demand for their skills. Job growth for data analysts is expected to increase exponentially by 2026 with a projection of over 11.5 million job openings in the US.

Data careers can be broken down into a few careers: scientists, analysts, and engineers. Scientists work with the mathematical and scientific components of data within research and business realms. Analysts work with data to make predictions and provide insights. Engineers work with data to create systems and teach machines how to automate tasks.

Data Scientists and Data Analysts apply data science concepts every day. Some data scientists specialize in a certain type of data science such as machine learning or data analysis. They rely on algorithms and models to create data-driven recommendations, all of which can be categorized as data science.

Data Engineers create the infrastructure for data systems. They essentially store, organize, and make data accessible for their teammates. They utilize data science to understand how data works and what their fellow data professionals will need from their systems.

A Machine Learning Engineer is technically a Data Scientist, but one that dives deeper. Machine Learning Engineers train computers through data sets and algorithms. They harness data science to teach machines how to recognize patterns or automate data science tasks in order to make systems more efficient and helpful.

Data science is the core foundation for these jobs, but you’ll also need to learn the technology that comes along with these concepts. This includes programming languages such as Python or R and tools like Tableau and Jupyter Notebooks.

Data Science Career Options

Here are a few career paths for which you’ll likely need Data Science skills in order to succeed. We also include additional info about their average salaries, their day-to-day responsibilities, and a link to learn more about each career.

  • Machine Learning Engineer

    Indeed Avg. Salary

    $143K / year

    indeed.com

    Glassdoor Avg. Salary

    $114K / year

    glassdoor.com

    Machine Learning Engineers create computer programs that enable machines to take actions without being specifically directed to perform those tasks. This job combines computer programming and data science to enable systems to learn and improve from experience automatically by using machine learning, a subset of artificial intelligence.

    Learn about becoming a Machine Learning Engineer
  • Data Engineer

    Indeed Avg. Salary

    $129K / year

    indeed.com

    Glassdoor Avg. Salary

    $102K / year

    glassdoor.com

    Data Engineers create the infrastructure for data and format data into a useful system which Data Scientists use to analyze large amounts of data. Data Engineers can specialize in pipelines, databases or platforms, warehouses or infrastructure, or be generalists.

    Learn about becoming a Data Engineer
  • Data Scientist

    Indeed Avg. Salary

    $121K / year

    indeed.com

    Glassdoor Avg. Salary

    $113K / year

    glassdoor.com

    Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. Governments, non-profits, and businesses of all types rely on data for forecasting, risk management, and resource allocation. Data scientists discover and analyze trends in data, and report their findings to stakeholders. They will use algorithms and models to simplify and mine data sets to create data-driven recommendations. Data scientists are needed across a handful of industries, especially the ubiquity of data and the reliance on it for business decision-making.

    Learn about becoming a Data Scientist

Enroll in a Data Science Course to Jumpstart your Career

To obtain the Data Science skills needed for one of the careers above, enroll in one of the courses listed below. You can find even more Data Science courses, available live online or in your area, on our Data Science courses page.

  • Data Science Certificate Learn The Skills Guarantee™

    Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.

    Learn more & register Explore Noble Desktop’s Data Science courses
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    • $3,495
    • 84 hours
    • Free retake
    • Live Online or NYC
    • 1:1 Mentoring Included

    Featured course from Noble Desktop

  • Noble Desktop Data Science Certificate

    In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

    Locations:
    • NYC
    • Live Online
    • $3,495
    • 84 Hours
    • Weekdays or Evenings
    • Beginner
    • Free Retake
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  • Flatiron School Data Science Bootcamp

    The Data Science Bootcamp from Flatiron is designed to be a comprehensive data science program for students to start careers in data science. The program runs for 15-weeks and covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. In addition to the coursework, students will receive career coaching and job support during the program.

    Locations:
    • NYC
    • Chicago
    • Seattle
    • Washington, D.C.
    • San Francisco
    • Houston
    + 1 more
    • $17,000
    • 3 Months
    • Weekdays
    • Beginner
    • Money-back guarantee
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  • Flatiron School Online Data Science

    This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.

    Locations:
    • Live Online
    • $15,000
    • 5 Months
    • Weekdays or Evenings
    • Beginner
    • Money-back guarantee
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  • Metis Data Science Bootcamp

    This full-time, accredited data science bootcamp covers data wrangling and exploratory data analysis using Python's statistical and data visualization packages. It also teaches regression techniques, web scraping, classification techniques using supervised and unsupervised models, and natural language processing. Finally, the courses finishes off with a capstone data science project where students can showcase their knowledge and talent.

    Locations:
    • Chicago
    • NYC
    • San Francisco
    • Live Online
    • $17,000
    • 12 Weeks
    • Weekdays
    • Beginner
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  • Thinkful Data Science Flex

    Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.

    Locations:
    • Live Online
    • $7,000
    • 6 Months, 25 hr/wk
    • See provider
    • Intermediate
    • Money-back guarantee
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  • General Assembly Data Science Immersive

    This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

    Locations:
    • Atlanta
    • Austin
    • Boston
    • Charlotte
    • Chicago
    • Dallas
    • Denver
    • Detroit
    • Houston
    • Los Angeles
    • Louisville
    • Miami
    • Minneapolis
    • Nashville
    • NYC
    • Orlando
    • Phoenix
    • Raleigh
    • Salt Lake City
    • San Diego
    • San Francisco
    • Seattle
    • St. Louis
    • Tampa
    • Toronto
    • Washington, D.C.
    • London
    • Live Online
    • Melbourne
    • Sydney
    • Paris
    • Singapore
    + 27 more
    • $15,950
    • 12 Weeks
    • Weekdays
    • Intermediate
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  • NYC Data Science Academy Data Science Bootcamp

    This data science bootcamp is an immersive program intended to give you the real-world skills needed to become a data scientist. This program teaches skills in Python and R, combining those tools with principles of machine learning, data visualization, and analytics. You will learn how to build statistical models and linear regressions using tools such as Hadoop, Spark, AWS, and much more. Upon completion of this 12-week program, students will be ready to begin a career in data science.

    Locations:
    • NYC
    • $17,600
    • 12 Weeks
    • Weekdays
    • Beginner
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  • NYC Data Science Academy Data Science Bootcamp - Online

    This data science bootcamp offers the ability to learn online with a 16-week full-time schedule or a 24-week part-time schedule. Students will learn how to use tools such as Python, R, Hadoop, and AWS to facilitate data visualization and analysis, machine and deep learning, and building statistical models. This program culminates in a professional capstone experience.

    Locations:
    • Live Online
    • $17,600
    • 16 Weeks
    • Weekdays or Evenings
    • Beginner
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  • NYC Data Science Academy Data Science with R: Data Analysis and Visualization

    This 35-hour program offers a comprehensive introduction to R. This course teaches the skills needed to process, manipulate, and analyze data, create visualizations, and generate reports. The program begins with an overview of programming with R. It then moves on to the treatment of basic data elements, the use of “dplyr” to manipulate data, and how to create basic and advanced visualizations such as violin and mosaic plots, and time-series diagrams.

    Locations:
    • NYC
    • Live Online
    • $2,190
    • 5 Weeks, 7 hr/wk
    • Weekends
    • Beginner
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  • NYC Data Science Academy Big Data with Amazon Cloud, Hadoop/Spark and Docker

    This six-week course teaches students how to use key components of Apache Hadoop, Spark, MapReduce, and more. Using platforms such as Databricks, Amazon Web Services, and Docker, students will learn how to use Python and cloud computing to run exercises. Students will complete five units on topics such as Hadoop, MapReduce, Apache Hive, Apache Pig, Apache Spark, and Amazon Web Services.

    Locations:
    • NYC
    • Live Online
    • $2,990
    • 6 Weeks, 3 hr/wk
    • Weekdays or Evenings
    • Intermediate
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