Best Data Analytics Classes Portland, OR: Find Courses & Onsite Training

Data Analytics Certificate Learn The Skills Guarantee™

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.

Learn more & register Explore Noble Desktop’s Data Analytics courses
- $4,995
- 156 hours
- Free retake
- Live Online or NYC
- 1:1 Mentoring Included
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Noble Desktop Data Science & AI 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 so students can refresh the material.

Available live online (virtual training) from anywhere
- $3,995
- 114 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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USF Bootcamps by Springboard Become a Cybersecurity Analyst
- See provider
- 6 Months, 18 hr/wk
- See provider
- Beginner
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Oregon State University Online Data Analytics Bootcamp (Full or Part Time)

Oregon State University's Data Analytics Bootcamp, powered by Fullstack Academy, offers both part-time and full-time online options to suit diverse learning needs. Spanning 10 to 26 weeks, this program dives deep into essential data analysis tools such as Excel, SQL, and Python. Whether opting for the more intensive 10-week full-time course or the 26-week part-time format, students engage in hands-on projects and prepare for industry certifications. This comprehensive approach equips aspiring data professionals with the skills and practical experience necessary for in-demand roles like Data Analyst and Insights Analyst.

In-person @ 1500 SW Jefferson Way, Corvallis, OR
- $14,495
- 10 Weeks
- Weekdays
- Beginner
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Noble Desktop Python for Data Science Bootcamp

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

Available live online (virtual training) from anywhere
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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NYIM Training Data Analytics Technologies 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 present their data clearly. 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.

Available live online (virtual training) from anywhere
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
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NYC Career Centers Data Analytics Technologies Bootcamp

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, summarize and analyze data with PivotTables, create charts and PivotCharts in Excel, use SQL to filter and sort large data sets, perform advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Available live online (virtual training) from anywhere
- $1,949
- 51 Hours
- Weekdays
- Beginner
- Free Retake
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Fullstack Academy Online Data Analytics Bootcamp (Full or Part Time)

Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s live online classes and workshops so you will feel fully supported along your journey. The up-to-date curriculum ensures course activities are relevant with real-world applications and interactive technology to help you master the knowledge and skills that you’ll acquire throughout the program.

Available live online (virtual training) from anywhere
- $14,495
- 10 Weeks
- Weekdays
- Beginner
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Ledet Training Tableau 101

Develop a solid design foundation in this two-day beginner-level Tableau training course. Through a combination of hands-on learning, instructor guidance, and class discussions, students import data from multiple sources and use it to create compelling visualizations and engaging stories. Specific topics include the Tableau interface, understanding techniques and best practices, leveraging the Tableau paradigm, workflow management, data analysis, data breakdowns, basic calculations, and guided data presentation.

In-person @ 11922 NE Airport Way, Portland, OR Also available online
- $899
- 2 Days
- Weekdays
- Beginner
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Ledet Training Tableau 201 - Tableau Advanced

Take your Tableau skills to the next level in this three-day intermediate course. Using more in-depth Tableau features, such as advanced data visualization techniques, participants solve more advanced problems. Specific topics include a Tableau review, parameters, sets, groups, reference lines, animation features, forecasting, mapping, data sourcing, field calculations, and advanced charting.

In-person @ 11922 NE Airport Way, Portland, OR Also available online
- $1,499
- 3 Days
- Weekdays
- Intermediate
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Showing 10 of 52 courses

Key Insights

Data analytics courses cover the complete analytic process, from defining research questions and collecting data to cleaning, analyzing, visualizing, and presenting information effectively using tools like Python, Excel, and Tableau.

Strong competencies in probability, statistics, calculus, and linear algebra are fundamental for data analysts, supporting critical tasks such as hypothesis testing, optimization algorithms, and deep learning techniques.

Proficiency in programming languages such as Python or R allows analysts to efficiently manipulate, preprocess, and analyze data, enhancing their ability to build customized analytical models and solve complex business problems.

Learn More About Portland Data Analytics Courses

Data analytics is the process of analyzing raw data to identify trends and answer questions. Applicable in any industry, this process includes extensive sets of diverse data—structured, unstructured, and semi-structured—that are continuously generated at high speed and in high volumes.

Big data is typically measured in terabytes or petabytes, with one petabyte equal to 1,000,000 gigabytes. One petabyte is equivalent to 250,000 films, and the large datasets used in data analytics measure anywhere from hundreds to thousands of petabytes. (That’s a lot of data!)

A successful data analytics professional can help answer business questions related to historical trends, future predictions, and decision-making. Machine learning tools, massive datasets, and more affordable computing power have made these techniques applicable across many industries, helping businesses draw meaningful conclusions from complex and varied data sources.

What Can You Do with Data Analytics Training?

If you speak with a data scientist or analyst, they’ll tell you that it’s more than just a potential profession. Data analytics is a hobby, a passion, one that can be applied in all areas of life. Noticing issues in your neighborhood? You could use urban data flows to predict and prevent infrastructural issues like potholes through a complex analysis of factors like traffic volume, pavement age, weather, and traffic accidents. Whether you’re on your local HOA board or presenting to your city council, your insights can help better your community.

Or, you could use predictive analysis to gather information on various sports-related topics, allowing you to make strategic choices in your fantasy leagues based on current team and player strengths and weaknesses.

Data analytics is, at its base, the combination of noticing patterns and a healthy amount of math and statistics. These things exist in everything around you, so data analytics can apply to almost anything you can think of.

What Will I Learn in a Data Analytics Class?

Data analytics courses can teach you about the data analytics process (including collecting, wrangling, mining, and visualizing data), different data roles, and data structures. Basic math will be covered as well and, for technical skills, you can expect to study programming languages like Python, database tools like Excel, and data visualization tools like Tableau. By the end of a data analytics course, you should be competent and confident enough to begin or expand a career in data science and analytics.

Data Analytics Process

Typically, the data analytics process is divided into six sequential parts:

Define the problem or research question: You’ll ask questions like “What are the problems that are being mentioned by my stakeholders?” and “What are their expectations for the solutions?” while identifying the root problem that needs addressing.
Collect data: The data has to be collected from various sources, internal or external sources. Common sources for data collection are interviews, surveys, feedback, and questionnaires. The collected data can be stored in a spreadsheet or SQL database.
Data cleaning: Clean data means data that is free from misspellings, redundancies, and irrelevance. One of the most important steps in this process, different functions provided by SQL and Excel can help you clean the data.
Data analyzing: The cleaned data is used for analyzing and identifying trends. Sample code can be written in SQL to perform calculations, and you can use Excel to create pivot tables and perform calculations.
Data visualization: Nothing is more compelling than a visualization. Tableau is a simple drag-and-drop tool that helps in creating compelling visualizations. Looker is a data viz tool that directly connects to the database and creates visualizations. Sharing the insights with the team members and stakeholders will help in making better, more informed decisions.
Presenting data: This process includes the creation of visual representations (like charts, graphs, and tables) to effectively communicate patterns, trends, and insights gleaned from the data analysis. The goal is to facilitate a clear understanding of complex information, making it accessible to both technical and non-technical audiences.

Data Types and Structures

A data type is the most basic and the most common classification of data, one where information is transmitted between the programmer and the compiler. The programmer informs the compiler about what type of data is to be stored and also tells how much space it requires in the memory. A few basic examples are int and string, essentially any variable used in the code.

In contrast, a data structure is a collection of different forms and different types of data that has a set of specific operations that can be performed. A collection of data types, data structures are a way of organizing the items in terms of memory, and also a way to access each item through some defined logic. Examples of data structures are stacks, queues, linked lists, and binary trees.

Math Skills

The math requirements for a data analyst vary, but they typically include probability and statistics, calculus, and linear algebra. The foundation for optimization algorithms and deep learning techniques, calculus helps data scientists solve optimization problems, like finding the minimum or maximum of a function. Probability is critical for hypothesis testing and distributions like the Gaussian distribution, while statistical methods are used to analyze large datasets and interpret the results. Finally, linear algebra helps data scientists understand algorithms. While you don’t need to have complete mastery of each of these, it is helpful to have some knowledge of these specific math skills to succeed at data analytics.

Programming

Programming is essential for data analysts to manipulate, clean, and analyze data efficiently. Through programming languages like Python or R, analysts can clean and preprocess data, handle missing values, and format it for analysis. Proficiency in these languages can be highly beneficial in performing advanced analysis and building custom data models.

Data Visualization

Data visualization is a key part of data analytics and business intelligence that uses visual elements to represent data. It translates complex, high-volume, or numerical data into a visual representation that is easier to process. Data visualization tools improve and automate the visual communication process for accuracy and detail. You’ll use tools like Tableau to create engaging and effective data visualizations that help communicate your findings to various stakeholders.

How Hard is It to Learn Data Analytics?

Given the field's complexity and the diverse skill set required to excel, data analytics is considered somewhat challenging to learn, blending elements of statistics, mathematics, computer science, and specific industry knowledge. In data analytics, both the initial learning curve and the requirement for continuous learning are substantial, largely because of the breadth of the field and the continual advancement of technology. While data analytics comes with its challenges, it is ultimately a field that anyone can master. With the right amount of passion, dedication, and time, anyone can become an expert in data analytics.

What Are the Most Challenging Parts of Learning Data Analytics?

The answer to this question may vary, depending on your current skill set. If you don’t have previous experience with programming or a background in mathematics, you may find mastery of these two subjects particularly challenging. Additionally, understanding the data often requires documenting data assets by keeping track of information such as every definition of columns in a data warehouse's tables. Some parts of data analytics, like understanding data, may seem repetitive or time-consuming, but usually there are tools to help streamline these processes.

How Long Does It Take to Learn Data Analytics?

Data analytics is a broad field; the time it takes to learn depends on several factors. You can master the basics of data analytics in less than a year, but your level of expertise will include various skills and practice in a particular role. You shouldn’t expect to become an advanced data pro in a matter of months.

The time required also depends on your existing knowledge and how much time you can dedicate each week. With full-time dedication (30-40 hours per week), you can become proficient in around three months, while part-time learners (15-20 hours per week) might take six months or more.

One factor to consider is the type of training you choose. Self-guided data analytics education can take much longer than a targeted bootcamp or certificate, so choosing the right course that fits your schedule is paramount to your success and efficiency.

Should I Learn Data Analytics in Person or Online?

There are several factors to consider when answering this question. First, you’ll want to consider what learning environment is best suited for you. Do you thrive in a collaborative environment where you can interact with your peers and receive in-the-moment feedback from your instructor? Or, do you prefer a more solitary learning environment, perhaps one where you can learn at your own speed?

You’ll also want to consider how much time you can dedicate to your education and what level of flexibility your schedule requires. Are you looking to immerse yourself in an intensive program? Do you work full-time and need your classes to be scheduled for evening and weekend hours?

In-person courses offer face-to-face interaction with both your fellow students and your expert instructor. This collaborative environment is available for both full-time and part-time classes and provides structure and accountability, two things that can help you succeed. Online classes may lack this in-person interaction, but they make up for it with increased flexibility. Live online classes still offer instant feedback from your instructor and interactions with other students, while on-demand virtual courses allow for the most flexibility since you can decide where and when you learn.

The good news is that, no matter which option you choose, you can obtain a quality education with a top-notch curriculum and expert instructors.

Can I Learn Data Analytics Free Online?

Technically, it is possible to learn data analytics for free online. YouTube videos, blogs, and free short workshops can all be a great way to learn the basics without purchasing any educational content. (Don’t forget to watch the most recent uploads so you’re learning the latest trends and techniques.)

But, for the more advanced skills, an in-depth training course is going to be your best bet. These courses have a curriculum developed and taught by experts with the chance to receive feedback or troubleshoot any issues with your instructor or a support team. Formal training can also provide the structure and accountability that some students need to stay focused, creating an environment where you’re more likely to succeed. So, if you’re looking to master more than just the basics, a formal workshop or class is a better choice than free online resources.

What Should I Learn Alongside Data Analytics?

There are several other skills that you can start working on while studying data analytics. While you’ll most likely have the experience needed in mathematics and statistics, it can’t hurt to brush up on those two subjects. Additionally, programming languages like Python, R, Java, C, or Perl will be very useful.

Hadoop is the most popular Big Data framework. Most professional arenas will expect (or hope) that you have experience in Hadoop, so it can’t hurt to tackle it alongside data analytics. Likewise, SQL is the most common way of getting information from a database and updating it, so if you can master SQL as well, you’ll be a step ahead of your career competition.

Industries That Use Data Analytics

Portland is known for its incredible mountain views, lush landscapes, and quirky culture, so it should come as no surprise that the city has several emerging and thriving industries. The top ones are outlined below, each of which could have opportunities for experts in data analytics. Keep reading to learn more.

Bioscience

Bioscience is one of these sectors, with big hitters like Genentech, Thermo Fisher Scientific, Micro Systems Engineering Acumed, and Absci calling the region home. (Oregon and Washington combined raised a record $324 million across 37 deals in 2021.) Specialized university labs in the region include Oregon Health & Science University’s (OHSU) National Primate Research Center, UO’s Genomics & Cell Characterization Core Facility, OHSU’s biolibrary of tissues and blood, and OHSU’s Massively Parallel Sequencing Shared Resource. Access to hands-on education facilities like these boosts the number of STEM occupations, which made up 27% of the region’s jobs in 2022.

Climate Tech

The city’s climate tech industry is also booming, thanks to Portland’s passion for the outdoors. Employing over 14,400 across 843 enterprises, Portland has led the nation in climate tech for decades. In fact, six related companies raised nearly $550 million in 2021, proving the industry's lasting presence in the region. Local organizations like CleanTech Alliance, Cascadia CleanTech Accelerator, and VirtueLab offer funding, mentorship, connections, and entrepreneurial support to local climate tech companies.

Design and Media

Centered around innovation, creativity, and inclusion, design and media generate $4.2 billion in economic output each year. Employing 33,000 professionals, this sector’s workforce is 48 percent larger than the U.S. average. World-class engineering, advertising, architecture, and production brands call Portland home, solidifying the city as a hotbed for creative endeavors.

Apparel and Outdoor

Greater Portland is the epicenter for apparel & outdoor gear companies for both the U.S. and the world. Industry leaders, including Nike, Columbia Sportswear and Sorel, have chosen to headquarter in Portland for the rich ecosystem of creative minds and innovative outerwear companies. The incredible access to outdoor activities doesn’t hurt, either. Additionally, the University of Oregon created the first master’s degree in Sports Product Management, a pioneering program that underscores the region's commitment to excellence and innovation in this field, helping to supply the industry with fresh, new talent.

Data Analytics Job Titles and Salaries

There are several exciting career options available for both those who are just getting started in the field of data analytics and those looking for advancement. Each position will have a unique specialty or focus, so you’ll want to have a clear understanding of how you’d like to apply your data skills professionally.

Financial Analyst

Financial Analysts guide individual stakeholders, businesses, and companies on how best to invest money and resources to gain the maximum profit. They will analyze multiple factors like business environments, market trends, financial status of companies, expected outcomes of operations, and past financial data to make the most informed and calculated decision. In Portland, you can make $101,000 as a Financial Analyst, with the potential to earn much more as you gain experience.

Database Developer

Database Developers study database processes with the goal of updating them, improving their efficiency, and getting rid of inefficient coding. They keep track of how existing databases are performing and use code and web architecture to create data systems, analyze and maintain existing databases, and implement new user features. You can expect to make around $125,000 as a Database Developer, Administrator, or Architect in Portland.

Weather Analyst

Do you also have an interest in weather systems? Weather Analysts study atmospheric occurrences and analyze data pertaining to meteorological events to provide forecasts and reports. It’s important they have a sound understanding of math and statistics, and are also familiar with meteorology. Meteorologists and Atmospheric Scientists make $66,000 to $102,000 per year in Portland, so you can expect salaries around that range.

Marketing Analyst

Are you a marketing or digital media wiz? You could become a Marketing Analyst and spend your time researching and optimizing campaigns and they may be required to use tools like Moz or Ahrefs depending on their employer. A Marketing Analyst must also have a basic understanding of data analysis and using Google Analytics. You can earn $93,000 per year as a Marketing Analyst in Portland.

Data Analytics Classes Near Me

Data Science Bootcamp

General Assembly’s bootcamp offers hands-on experience using industry-standard tools such as SQL, Excel, Tableau, Power BI, and Python. Learn how to solve problems like an analyst and effectively communicate your findings. Gain the skills needed to make ethical, data-driven decisions and become proficient in tools highly sought after by employers in the data analytics field. This course is offered in-person at select locations in Orlando, or live online for more flexibility.

Data Science Certificate

Offered by Noble Desktop, this in-depth course can take anywhere from four to 20 weeks to complete. You’ll learn all the skills needed to become a professional Data Scientist, like how to manipulate databases and perform data analysis, master the fundamentals of Python programming, and use its main data science libraries to analyze data. You’ll also try your hand at creating machine learning models, making dashboards and visualizations, and deploying your projects online with GitHub.

Held live online, this course includes access to 1:1 mentoring, a free retake within one year, and a verified digital certificate upon completion. Small class sizes and live project-based training with industry experts help ensure you gain all the knowledge and experience needed to land your dream Data Scientist job.

Data Analytics Certificate

This project-based course from Noble Desktop teaches you to gather, wrangle, analyze, and visualize data using various tools and technologies to help businesses in decision-making and strategy. You’ll work on multiple real-world projects to explore both predictive and prescriptive analytics and gain practical experience. Plus, you have access to 1:1 mentoring, a free retake, and setup assistance when you enroll in this course. Payment plans are available to make this certification more accessible.

Data Analytics Corporate Training

If you’re looking to offer in-person or online training to your office or team, Noble Desktop can help. They offer a variety of corporate training programs, including in Data Analytics. You can order vouchers in bulk at a discount, choose which courses are available to employees, and even let your employees choose their own schedule. Plus, you can choose to have your training hosted at a location of your choosing, live online, or at Noble Desktop’s Manhattan office.

With a top-notch customizable curriculum and instructors who are experts in their industries, Noble Desktop’s corporate training is designed to cater to your business or organization’s needs. For more information or to schedule a free consultation, you can reach out to Noble Desktop at corporate@nobledesktop.com.

Kelsey Kissner

Kelsey Kissner is a writer for Noble Desktop. She has a bachelor’s degree in English from Ohio State University, a master’s degree in creative writing from London Metropolitan University, and a certification in UX Writing and Content Strategy from the UX Content Collective. Collectively, she has 15 years of experience in publishing and marketing spanning across a variety of industries, including education, fashion and retail, and the nonprofit sector. While working in the publishing industry, she managed the books and materials for construction, architecture, hospitality management, and various trades like HVAC, electrical, and plumbing. Kelsey's writing at Noble Desktop also covers a variety of professional training programs and career fields.

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Data Analytics Certificate Learn The Skills Guarantee™

Key Insights

Learn More About Portland Data Analytics Courses

What Can You Do with Data Analytics Training?

What Will I Learn in a Data Analytics Class?

Data Analytics Process

Data Types and Structures

Math Skills

Programming

Data Visualization

How Hard is It to Learn Data Analytics?

What Are the Most Challenging Parts of Learning Data Analytics?

How Long Does It Take to Learn Data Analytics?

Should I Learn Data Analytics in Person or Online?

Can I Learn Data Analytics Free Online?

What Should I Learn Alongside Data Analytics?

Industries That Use Data Analytics

Bioscience

Climate Tech

Design and Media

Apparel and Outdoor

Data Analytics Job Titles and Salaries

Financial Analyst

Database Developer

Weather Analyst

Marketing Analyst

Data Analytics Classes Near Me

Data Science Bootcamp

Data Analytics Corporate Training

Portland Data Analytics Corporate & Onsite Training Noble Desktop

Data Analytics Training Locations in or Near Portland

Portland Careers & Salaries Related to Data Analytics

Related Classes

Portland Data Analytics
Corporate & Onsite Training