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Learn Data to Advance Your Career

Data are characteristics or information that are either qualitative or quantitative variables about one or more objects. Data can be used to describe the information stored within servers, information collected from users, and statistics analyzed for business decisions. Americans use over 4 million gigabytes of internet per day, that produces massive amounts of data which need to be analyzed, stored, and sorted to turn into useful information. This data powers a variety of careers in four specific sectors: data science, business, finance, and marketing. Learning more about data can inform your decision to work in one of these areas of expertise.

  • Overview
  • Courses

Data is a broad category that can be applied to careers within data science, business, finance, and marketing. Data is used to make business and financial decisions, inform marketing campaigns, and it’s the main material that data engineers work to create storage for. The amount of data produced each year has grown exponentially in the past 20 years. Big data has become a major driver of employment and our economy.

When people think of using data in a career they usually think of data science. Jobs like Data Engineer, who makes storage solutions; Data Scientist, who harnesses data to solve problems; Machine Learning Engineer, who automates data functions and teaches machines how to make decisions; and Data Analyst, who processes data to find useful insights.

But other careers also rely heavily on data in their day-to-day work. This primarily includes anyone with the term “analyst” in their job title. Business Analysts, Marketing Analysts, and Digital Analysts harness data to reveal powerful insights into trends, customer choices, customer satisfaction, and marketing information. Business Analysts rely mostly on Excel while Marketing and Digital Analysts use Google Analytics, Excel, and Tableau.

Financial Analysts and Investment Analysts utilize data to inform big decisions, but they work with financial data, stock market predictions, and financial modeling instead. Analysts in the finance sector use Excel every single day. Some also use Tableau, R, Python, and SQL, but these skills are usually only required for jobs that are located in financial hubs or tech venture capital firms.

Research Analysts are found in the highest concentration within the finance sector, but they can also work in marketing and any other industry that harnesses market research and data analysis to make their decisions. They also use Excel but might learn more advanced skills, depending on the industry they choose to specialize in.

Data is also an important aspect of an SQL Developer’s day to day. SQL Developers use the coding language SQL to create databases and applications. They also use other coding languages, developer tools, and Git.

Learning more about how data is used in each of these positions can inform which career path you’d like to embark on. Learning about data and how it’s used isn’t enough to land a job, though. You’ll need to learn more about data, data science, and data analytics to determine which skills and technologies you should learn.

Enroll in a Data Course to Jumpstart your Career

To obtain the Data skills needed for one of the careers above, enroll in one of the courses listed below. You can find even more Data courses, available live online or in your area, on our Data 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 courses
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    • $3,495
    • 84 hours
    • Free retake
    • Available live online
    • 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.

    Read more
    Locations:
    • NYC
    • Live Online
    • $3,495
    • 84 Hours
    • Weekdays or Evenings
    • Beginner
    • Free Retake
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  • Noble Desktop FinTech Bootcamp

    In this 60-hour FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and algorithmic trading. The program is taught by seasoned finance and data science professionals. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material.

    Read more
    Locations:
    • NYC
    • Live Online
    • $2,995
    • 60 Hours
    • Weekdays, Evenings, or Weekends
    • 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.

    Read more
    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.

    Read more
    Locations:
    • Live Online
    • $15,000
    • 5 Months
    • Weekdays or Evenings
    • Beginner
    • Money-back guarantee
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  • NYIM Training Excel for Business Bootcamp

    In this comprehensive Excel bootcamp, participants learn beginner to advanced Excel techniques, including formulas & functions, VLOOKUP, macros, and more. Students learn how to work more efficiently, summarize, and analyze data with tables, charts, and PivotTables. By the end of this hands-on course, participants will be ready to use Excel for everyday business tasks. The course has flexible scheduling options and is available live online or in NYC. Tuition includes hands-on training, a free retake, course manual, and supporting video tutorials.

    Read more
    Locations:
    • NYC
    • Live Online
    • $549
    • 21 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • NYIM Training SQL Bootcamp

    In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.

    Read more
    Locations:
    • NYC
    • Live Online
    • $915
    • 24 Hours
    • Weekdays, Evenings, or Weekends
    • Beginner
    • Free Retake
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  • Noble Desktop SQL Bootcamp

    In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.

    Read more
    Locations:
    • NYC
    • Live Online
    • $975
    • 18 Hours
    • Weekdays or Evenings
    • Beginner
    • Free Retake
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  • NYIM Training Tableau Bootcamp

    In this comprehensive 2-day course, participants can become an advanced Tableau user able to work with data to create visualizations and use the various tools Tableau Public has to offer. They will learn to identify datasets to create desired visualizations and then master the Tableau tools on a deeper level to customize their visualizations. By the end of this course, participants will have learned to create maps to represent geographical data, and build actions to control visualizations within sheets and dashboards. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

    Read more
    Locations:
    • NYC
    • Live Online
    • $499
    • 14 Hours
    • Weekdays or Evenings
    • Beginner
    • Free Retake
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  • NYIM Training Data Analytics Bootcamp

    In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

    Read more
    Locations:
    • NYC
    • Live Online
    • $1,949
    • 60 Hours
    • Weekdays
    • Beginner
    • Free Retake
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  • Noble Desktop Python Machine Learning Bootcamp

    In this 18-hour course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

    Read more
    Locations:
    • NYC
    • Live Online
    • $1,895
    • 30 Hours
    • Weekdays
    • Intermediate
    • Free Retake
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