Courses to Get You Started in Data, Programming, Business and More (2024)

The world is changing rapidly. New technologies are emerging almost daily, and professionals today are expected to learn new skills to stay ahead of the curve.

If you’re looking to expand your professional repertoire, UW Professional & Continuing Education has you covered. We offer a wide range of foundational courses in areas such as data analysis, programming, writing and editing, and business that can help you quickly upskill or add fresh knowledge in a leading-edge discipline.

Read more about these courses below and choose one to start your professional journey of discovery.

Course Categories

1. Data
2. Writing and Editing
3. Programming
4. Business

1. Data

Foundations of Data Analysis

Many businesses today are looking for professionals with the skills to unlock insights into their data. Adding data analysis skills to your resume can be a savvy career move. But where do you start?

The Foundations of Data Analysis course offers a great way for students to learn the essentials of understanding, analyzing and presenting data, according toinstructor Tim Mudd. It also gives them a good idea of where they might want to go next, either in their career or to pursue further training.

“The first half of the course focuses on skills like data wrangling and SQL queries,” says Mudd. “The second half is where we dive into data visualization platforms like Tableau and the students can see the data come to life. By the end, it’s usually pretty clear to students whether they want to gravitate more toward the analytic or visualization sides of the field.”

  • Good Prep For: UW Certificate in Data Visualization With Tableau; UW Certificate in Data Analytics: Techniques for Decision Making

Data Science Foundations

Data science is an exciting field expected to grow rapidly in the coming decade. If you’re interested in an course that will give you a solid grounding in data science principles, then the new Data Science Foundations course could be a great fit.

In this course, you’ll learn the essential skills of data science, including the fundamentals of data analysis and the key mathematical concepts required for any data science role. With a curriculum that covers everything from the basics of Python programming to advanced statistical analysis, this course will give you the knowledge to tackle real-world data science challenges, including data collection and cleaning, model selection and evaluation, and data privacy and security.

  • Good Prep For: UW Certificate in Data Science

Data Visualization Essentials With Power BI

In ournewData Visualization Essentials With Power BIcourse, you’ll learn how to use Microsoft’s Power BI software to conduct real-time data analysis, develop strategic insights and create rich reports and data stories using best practices in data visualization. The course explores interactive reporting techniques to bring your data to life and teaches you how to choose the optimal report design and layout for different business scenarios.

  • Good Prep For: UW Certificate in Data Visualization With Tableau

2. Writing and Editing

Proofreading Essentials

In a world awash in written content, accuracy and clarity are priorities. (Indeed, simple errors can sometimes even lead to costly lawsuits.) That’s why we still need good proofreaders.

Proofreading is often an entry-level role in the editing profession. So, this a perfect starter course, especially if you’ve never taken an online course.

Christy Karras, instructor for theProofreading Essentials course

In the Proofreading Essentialscourse, you’ll learn the fundamental skills of proofreading and where this role fits in the publishing process. You’ll practice standard proofreading markup and explore style sheets, style guides, reference sources and other tools of the trade.

Christy Karras, an award-winning instructor who has been a professional editor for more than two decades, says that the course is a great fit for those who want to kick the tires on an editing career.

“Proofreading is often an entry-level role in the editing profession,” she says. “So, this a perfect starter course, especially if you’ve never taken an online course. It allows you to dip your toe in the water before you commit to something like the Certificate in Editing.”

  • Good Prep For: UW Certificate in Editing

Foundations of UX Writing

As websites and mobile apps become the most common ways we access information, the role of the UX writer has become increasingly important. The Foundations of UX Writing course is a great way to find your niche in this dynamic industry.

In Foundations of UX Writingcourse, you’ll learn how to write clear, concise copy that helps the user accomplish their task. You’ll investigate user research and design and discover how they come together in the UX writing discipline. You’ll also study the importance of voice and tone and discuss standards for accessible and appropriate content.

Torrey Podmajersky, an expert in the field and one of the original instructors of the course, explains how trained UX writers have become a linchpin of the software development process.

“UX writing is taking a similar arc to research and interaction design, in terms of being included in the software development life cycle,” she says. “Some companies have hired UX writers for years, like Microsoft and Nordstrom, but Facebook, Google and Amazon are also hiring in this field. UX writing has been improving as a career path as we grow as a discipline.”

  • Good Prep For:

3. Programming

Foundations of Programming (Python)

Learning a new computer language can be daunting. But, Python programming instructor Luis Conejo Alpizar insists that writing code is not rocket science.

“One thing about Python is that it’s an accessible language — it’s something that someone with no background in software development can understand,” says Conejo, a systems engineer at Intel who teaches the Foundations of Programming (Python) course. “We give students a birds-eye view of the language so they understand what they can do with it. At the same time, we go into enough depth so that someone finishing the course will have the necessary skills to code in Python.”

Those who complete the course often go on to pursue more advanced studies, whether it’s the UW Certificate in Python Programming or another programming language. Conejo sees thefoundations course as a perfect launching pad.

“That's the key thing about a foundations class — it’s not about understanding everything; it’s about understanding how you can use those things,” he notes. “We're going to give you tools, and maybe you decide you’re going to become an expert in one particular tool because it's advantageous to your career or what you do.”

  • Good Prep For: UW Certificate in Python Programming

Foundations of Databases & SQL Programming

Relational databases are an essential tool of modern data management, allowing for a structured approach to organizing data. In the course, you’ll learn the technical concepts underlying these databases and gain experience using relational database management systems (RDBMS). You’ll explore the fundamentals of SQL programming and practice writing complex queries to analyze data. By the end of the course, you’ll have built your own relational database using SQL programming techniques.

  • Good Prep For: ;

4. Business

Business Technology Essentials

Technology has transformed the modern workplace. For many people — especially those returning to the workforce after a break or changing jobs — trying to keep up with the latest tools and processes can be intimidating.

Work looks really different now than it did 5, 10, or 20 years ago, and it's just going to continue moving at a rapid pace.

Julian Peterson, instructor for the Business Technology Essentials course

“Work looks really different now than it did 5, 10, or 20 years ago, and it's just going to continue moving at a rapid pace,” says Julian Peterson, instructor for UWPCE’s new Business Technology Essentials course. “Employers expect their employees to know many technology skills, and there’s a huge range of skill levels out there. This has created gaps that this course can fill.”

The Business Technology Essentials course provides guidance and practice with today’s most commonly used tech tools. You’ll learn about modern data security practices, file management (both on a server and in the cloud), formatting documents with word-processing software and communication tools such as email (Gmail and Outlook) and Teams. You’ll also gain exposure to emerging technologies, such as automation.

“Employers have made it fairly clear that employees are responsible for their own skill development,” says Laurel Tallent, program manager for the course. “This class provides a supportive space for folks to work on those skills. We aim to get people to a place where they feel confident and competent with the tools being used today in their workplace.”

  • Good Prep For: Foundations of Programming (Python) (course); (course); (course)

Foundations of Project Management

Project management is an in-demand business skill applicable to many different roles in the modern workplace. In theFoundations of Project Managementcourse, you’ll learn the principles and best practices of successful project management. You’ll investigate techniques for effective communication and managing team dynamics and gain insights into concepts related to time management, scheduling and prioritization. You’ll also practice reviewing business cases to draw conclusions and create actionable plans.

  • Good Prep For: UW Certificate in Project Management

Keep Learning

Check out ourcomplete list of UWPCE foundations courses to find an offering that will help youlearn an in-demand skill or explore a new area of expertise.

Courses to Get You Started in Data, Programming, Business and More (2024)

FAQs

How do I get into data business? ›

If you're considering a career in this in-demand field, here's one path to getting started:
  1. Get a foundational education.
  2. Build your technical skills.
  3. Work on projects with real data.
  4. Develop a portfolio of your work.
  5. Practice presenting your findings.
  6. Get an entry-level data analyst job.
Apr 19, 2024

How do I start a data science business? ›

By the end of this article, you will have a roadmap for turning your skills as a data scientist into a profitable entrepreneurial venture.
  1. Step 1: Identify a Business Idea. ...
  2. Step 2: Conduct Market Research. ...
  3. Step 3: Develop a Business Plan. ...
  4. Step 4: Secure Funding. ...
  5. Step 5: Build a Team. ...
  6. Step 6: Launch and Iterate.

Which is the best course to become a data analyst? ›

TL;DR Best Data Analytics courses for 2024
RankCourse TitleLevel
1Google Data Analytics Professional CertificateBeginner
2Become a Data AnalystBeginner to Intermediate
3Excel Skills for Data Analytics and Visualization SpecializationIntermediate
4Data Analyst in RBeginner
1 more row

What is the best data science course for beginners? ›

Explore Our Data Science Courses for Beginners
  • Johns Hopkins University. ...
  • IBM. ...
  • IBM. Databases and SQL for Data Science with Python. ...
  • IBM. Introduction to Data Science. ...
  • Duke University. Data Science Math Skills. ...
  • IBM. Applied Data Science. ...
  • IBM. IBM Data Analyst. ...
  • DeepLearning.AI. Mathematics for Machine Learning and Data Science.

Will AI replace data analysts? ›

Answer: While AI can automate certain tasks traditionally performed by Data Analysts, such as data cleaning and preliminary analysis, it is unlikely to fully replace the need for human analysts.

How much SQL is needed for a data analyst? ›

The Best Medium-Hard Data Analyst SQL Interview Questions

The first 70% of SQL is pretty straightforward, the remaining 30% can be pretty tricky. Data analyst and data scientist interview questions at technology companies often pull from that 30%.

Can I start my own business as a data analyst? ›

To start a successful data analytics consulting business, first identify your niche and develop a detailed business plan. Acquire the necessary skills and tools, and legally set up your business. Build a strong portfolio to showcase your expertise.

Is data science well paying? ›

According to the U.S. Bureau of Labor Statistics (BLS), the median salary for data scientists was $103,500 per year as of 2022 [2]. That's more than double the median annual wage for all workers, which the BLS pinned at $46,310 during the same period.

How do I become self employed with data science? ›

Steps to Become a Freelance Data Scientist
  1. Gain visibility by actively sharing industry news and tips on networking platforms.
  2. Join data science groups and attend industry conferences and events.
  3. Create portfolios on freelancer sites, such as Fiverr, Freelancer, and Upwork.
  4. Write and publish data science articles on a blog.
Nov 9, 2023

What field is the highest paid data analyst? ›

Roles like data scientists, machine learning engineers, and AI engineers rank among the top earners in the analytics field.
  • Data scientists: Average annual salary of $115,786.
  • Machine learning engineers: Average annual salary of $115,786.
  • AI engineers: Average annual salary of $126,639.

How to start a career in data science with no experience? ›

Data Scientist With No Experience – A Complete Roadmap
  1. Step 1: Acquire Technical and Non-technical Skills.
  2. Step 2: Earn Certifications.
  3. Step 3: Build a Portfolio.
  4. Step 4: Create Your Resume.
  5. Step 5: Network With Experts.
  6. Step 6: Look for Internships in Industry-specific Projects.
  7. Step 7: Seek Entry-level Data Entry Jobs.
Mar 14, 2024

What is the fastest way to become a data analyst? ›

A bachelor's degree in a related field like statistics, computer science, or mathematics is required to become a data analyst. Obtaining a bachelor's degree can take around four years of full-time study. However, learning the necessary skills through self-study or a boot camp-style program is also possible.

In what order should I learn data science? ›

  1. Learn Python. The First and Foremost Step Towards Data Science should learning be a programming language ( i.e. Python). ...
  2. Learn Statistics. ...
  3. Data Collection. ...
  4. Data Cleaning. ...
  5. Acquaintance With EDA( Exploratory Data Analysis) ...
  6. Machine Learning & Deep Learning. ...
  7. Learn Deploying of ML model. ...
  8. Real-World Testing.

Where to start learning data science from scratch? ›

Python and R are the two most popular programming languages used in data science, so that's a good place to start for all data scientists. The Python and R programming language are good starting points for a few reasons. They're both open-source and free, which means that anyone can learn to program in these languages.

How can a beginner start data science? ›

How to Start Data Science Career: For Beginners
  1. Introduction. ...
  2. Choose the Right Role. ...
  3. Take up a Course and Complete it. ...
  4. Choose a Tool / Language and Stick to it. ...
  5. Join a Peer Group. ...
  6. Focus on Practical Applications And Not Just Theory. ...
  7. Follow the Right Resources. ...
  8. Work on your Communication Skills.

How do I start a data-driven business? ›

Building a Data-Driven Business in 2024—Table of Contents:
  1. Start from the Top.
  2. Create a Strategy.
  3. Collect as Much Data as You Can.
  4. Begin Extracting Insights.
  5. Build Data Infrastructure.
  6. Assemble Your Data Team.

How do I start a data entry job? ›

How to become a Data Entry Professional?
  1. Learn numeric key entry skills.
  2. Acquire good Knowledge of database software, spreadsheets, and word processing.
  3. Hold a command on grammar and punctuation.
  4. Learn how to operate basic office equipment like computers, scanners, copiers, printers and calculators.
Apr 29, 2024

How do I get into data entry field? ›

Gaining practical experience is vital for those entering the field of data entry. This can be achieved through internships, volunteer work, or part-time positions that involve data input, database management, or clerical work.

How do I get into data field? ›

Pursue a formal education in data science

This can include getting a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. These degrees give you a strong foundation in statistics and mathematics which are crucial to build a successful career in data science.

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