Strengthen your data analytics skills with interactive projects in Excel, SQL, and Tableau to draw meaningful insights from complex data.
Master the industry-standard tools and programming languages used by Data Analysts, including Excel, SQL, and Tableau, in this comprehensive classroom training program. Gain hands-on experience working on real-world projects and learn to organize, analyze, summarize, and visualize data to present actionable insights.
Improve your data analysis skills with our Excel for Data Analytics class. Learn essential functions, formulas, and advanced techniques like Pivot Tables and VLOOKUP. Gain hands-on experience and optimize your workflow for efficient data analysis.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Gain practical SQL skills in this hands-on certification program, where you’ll learn to write queries, manage data, and analyze results using Microsoft SQL Server.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Learn to clean, organize, and reshape data quickly with Power Query, a powerful tool built into Excel and Power BI. This hands-on course will teach you how to streamline your data preparation process for analysis and reporting.
Learn the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Gain practical skills in analyzing datasets, building predictive models, and creating AI-powered applications using Python and industry-leading tools.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Boost your resume with a Microsoft Excel Certification. Our program offers three courses, private training, the Specialist Exam fee with free retake, lifetime access to Excel video courses, and free exam proctoring.
Prepare for the Microsoft Excel exam and become an Excel expert with our certification program. Learn formulas, functions, Pivot Tables, charts, and more through group classes, private training, and an exam with a free retake.
In today’s world, data is everywhere, from the phones in our hands to health records, website traffic, and even our banking habits. Everything from changing stock prices to user behavior on social media is quantified and recorded, creating an immense amount of potentially valuable information available to companies looking to profit. In addition, data is also used to reach conclusions in scientific, the Food and Drug Administration (FDA), and medical research that improves quality of life. However, without the skills needed to analyze it in a useful manner, quickly piling up data can become an overwhelming burden rather than an asset.
For this reason, data analytics has become one of the most in-demand fields in today’s economy. Utilizing a combination of mathematics knowledge, programming expertise, and subject area acumen, data analysts can not only make sense of the data that drives the modern economy and human behavior but can also use it to make critical predictions about the future.
As a result, many companies rely on predictions made from data about the habits of their customer demographics to guide significant business decisions. Virtually every industry now incorporates data analysis into daily operations, which means that data analysts can choose to specialize in whatever industry interests them. Regardless of the industry, though, professionals interested in data analytics can be assured that they can have a fulfilling and likely lucrative career ahead of them.
Like any other major city in the country, Minneapolis is home to dozens of established companies and startups seeking professionals skilled in data analytics to help them deconstruct the data they collect. With major companies such as Best Buy, Target, and US Bank located in the city, career professionals have plenty of options to choose from.
Data analytics career opportunities in Minneapolis include opportunities to work with a variety of subfields. For instance, Business Analysts who work with companies to analyze business data can earn as much as $90,000 per year in the city, substantially higher than the national average. For a similarly high salary, Minneapolis-based Digital Analysts evaluate marketing campaigns for companies and agencies, averaging about $85,000 each year. Financial Analysts and Investment Analysts who work in Minneapolis tend to earn a similar salary.
However, because local companies are willing to pay for expertise, highly-experienced Digital Analysts have the potential to earn as much as $140,000 per year. Other great news for aspiring data analysts is how in-demand data analytics careers remain in Minneapolis. In fact, the Minnesota Department of Employment and Economic Development places business and management analyst positions in its top 50 most in-demand careers over the next decade.
As a widely in-demand field, there are several ways to start a career in data analytics. However, with so many paths one can take, the options can be dizzying. To help, Noble Desktop has created a tool to search and compare data analytics courses in Minneapolis so that learners can find the best approach for them.
For some students, the traditional classroom environment of an in-person course can be the best option because it grounds them in a physical environment while also allowing them to meet and connect with local peers. In Minneapolis, some in-person classes are quick day classes, but for students looking to pursue a career, there is also the option to participate in longer bootcamps. Depending on the program, students can find a variety of scheduling options for bootcamps, from flex programs offering part-time mobility to rigorous full-time training.
New Horizons, General Assembly, and the University of Minnesota all offer in-person format classes in Minneapolis. For beginners looking for a basic introduction to the field, New Horizons' Data Analytics Bootcamp introduces learners to data science in a seven-hour course. General Assembly offers several course options, including bootcamps for total novices and students with backgrounds in math or Python. More intensive opportunities include the University of Minnesota’s Data Visualization and Analytics Bootcamp, which offers a comprehensive jump-start to a data analytics career.
Virtual courses are also a valuable way to learn more about data analytics, and live online courses allow students to learn in real-time, just as they would in a traditional classroom. In these courses, students receive the same top-notch instruction from expert teachers but can attend lectures from the comfort of their homes or offices.
Noble Desktop, a decades-long tech education leader, provides many live online data analytics classes suitable for learners at different skill levels. For instance, beginners can get started with a short Data Analytics Foundations course that covers the basics of performing data analysis with Excel, SQL, and Tableau. Several steps up in intensity are bootcamp courses such as Noble’s Python for Data Analytics bootcamp, designed to help students master one of the field’s most necessary programming languages. Other bootcamp topics cover everything from SQL to Excel and Tableau.
For future professionals, the more immersive ||CPN411|| combines discussions of data analytics with tutorials on data science tasks like automating processes with Python. In addition to these skills, the ||CPN395|| also equips graduates with essential analytics skills such as Excel and Tableau. Both programs provide mentorship from a data expert and focus on developing solid skills through hands-on practice.
For more education options, Noble Desktop’s affiliate training centers also offer training in data analytics. NYIM Training’s data analytics courses range from beginner guides to using Excel to comprehensive bootcamps in SQL coding. NYC Career Centers offers great data analytics courses as well, including a bootcamp that gives students a comprehensive introduction to the field.
Learning data analytics isn’t just for professionals, either, and can be an excellent way for teens to prepare for the future while they’re still young. Teens interested in the field can enroll in NextGen Bootcamp’s summer data analytics courses for high schoolers.
Noble Desktop also offers corporate data analytics training for companies of every size. These training opportunities are an excellent way for employers to educate their entire workforce in data analytics principles and are customizable to each team. Some teams opt to participate in face-to-face classes led by an instructor who visits their Minneapolis workspace. In contrast, others tune into live video sessions over Zoom or another teleconferencing platform.
To learn more and to hear about how to purchase group vouchers for Noble Desktop classes at a discount, please write an email to Noble Desktop.