Data Science Training Cost

Are you looking to learn data science?The cost of training for entry-level data science and analytics positions varies, but you can learn essential aspects of this exciting field without breaking the bank. You can find many free online resources to start learning data science, including videos and online tutorials. Beyond these, you’ll want to consider additional costs like formal data science training. 

Many students train for entry-level data science or Python engineering positions by enrolling in intensive bootcamps or certificate programs. These can range from around $3,000 to $5,000, and you can complete them in as little as three to five weeks.

Read on to find out more about how much you can expect to spend on learning data science.

What is Data Science?

Data science is a broad field that encompasses the disciplines of mathematics, computer programming, and artificial intelligence (AI). Data professionals such as Data Scientists and Data Analysts use advanced techniques like machine learning algorithms to find patterns in a vast amount of information. This process can provide actionable insights to stakeholders, from Product Managers to C-suite executives.

Today nearly every sector requires data science expertise, whether public or private. Among the top sectors where data science is critical are health and wellness, retail, web and application development, banking and finance, and governmental agencies. The field continues to project dramatic growth over the next decade; Glassdoor even listed Data Scientist as number three in its 50 Best Jobs in America in 2022.

Read more about what data science is and why you should learn it. 

What Can You Do with Data Science?

Data science has so many applications in different industries that a comprehensive review could fill a book. Professionals as diverse as Business Analysts, Machine Learning Engineers, and Enterprise Architects use data science in their day-to-day activities.

Top sectors for data science include banking and finance, marketing and advertising, and healthcare:

• Banking, Financial Services & Insurance (BFSI) - Business Analysts and Data Scientists use data for everything from fraud detection to customized financial advice. Machine learning algorithms can assist with risk analytics, stock trading, and other tasks.

• Marketing & Advertising - Data Analysts and Marketing Analysts use data science in advertising to create targeted ad copy, recommend products and services, and leverage social media platforms. Programming languages like Python and R, often key to data science positions, help experts analyze data and make recommendations.

• In healthcare, Data Scientists create algorithms to create care plans and improve patient services. Using data analysis in medical imaging can help care providers with diagnoses and treatment decisions.

Data science has proven crucial to many other sectors, from retail and manufacturing to the public sector. If you want to combine challenging work with job security, start with data science.

In-Depth Review of the Training Cost

The cost of training for a data science role depends on your level of responsibility, the industry or sector, and general factors like your level of experience and whether you hold specific certifications. If you plan a career as a Machine Learning Engineer or Data Scientist, you may need years of experience to qualify for your ideal position.

To estimate the associated costs for data science or analytics training, consider the following:

• Four-year college or university degrees - Some roles demand a particular degree as a requirement. Peruse online job postings to see if the position you seek usually requires bachelor’s or associate degrees, as college and university programs are the lengthiest, most expensive alternatives.
• Many entry-level data science and analytics jobs can be obtainable after attending a bootcamp or certificate program, either in-person or online. These comprehensive courses typically run from $3,000 to $5,000 and can be completed in months, not years. They’re typically more affordable than full-scale degree programs.
• Though they don’t necessarily offer the same benefits as live instruction—and few provide mentoring or job search support—self-paced courses are typically even less expensive than bootcamps. Consider them worthy introductions if you’re not ready to commit to formal instruction. 
• You can always start with free online resources to begin, including:
• Blog posts
• Articles
• Seminars
• Tutorials
• News stories

However, most students find they need some formal training to begin a successful data science or analytics career. Keep in mind the advantages of in-person training, such as having a computer set up with software for you. On the other hand, work or family obligations might prevent you from making face-to-face sessions. While not as immediate as in-person training, online learning can offer flexible training options, like weekend or evening class times.

Free Introductory Data Science Course Online 

If you can’t currently commit to a full-length data science bootcamp or certificate program, consider the many free online resources you can use to start learning data science. For example, Noble Desktop’s Intro to SQL is a great place to start. Learn why Structured Query Language is essential to data science in this free introductory course. It’s the perfect background prep for a more extended program like Noble’s Data Science Certificate or Data Analytics Certificate.

Other free online classes include Data Science Math Skills from Duke University, Data Processing Using Python from Nanjing University, and Algorithms, Pt. 1 from Princeton University.

Read about more free data science videos and online tutorials.

Learn Data Science with Hands-on Training at Noble Desktop

Because data science is a broad field, targeted training can prepare you for a data-centered position or even help you choose a specific role. You might think you’ll need a four-year data science degree, but this isn’t necessarily so. The bootcamp or certificate educational model has become increasingly popular for data professionals, thanks to features like small class sizes, hands-on training from industry experts, and individual mentoring. Noble Desktop offers a wide range of data science programs to help get you started.

• Data Science Certificate - The comprehensive Data Science Certificate provides all the skills required for entry-level data science, data analytics, or software engineering roles. Students learn how to write complex queries and build machine learning models while preparing a portfolio on a real-world basis. Skills covered include Python, SQL, NumPy, Pandas, and Jupyter Notebook, to name a few.

• Data Analytics Certificate - The comprehensive Data Analytics Certificate program offers the perfect training ground for Data Analysts, Business Intelligence Analysts, and Marketing Analysts. With a heavy emphasis on Tableau data visualization software, you’ll learn skills like Python programming, SQL, and machine learning, among others. Registrants of the Data Analytics Certificate or Data Science Certificate can also attend Noble’s Power BI Bootcamp at no additional charge.

• Python for Data Science Bootcamp - The Python for Data Science Bootcamp covers everything from programming fundamentals to data visualization. Students can save by taking this course as part of Noble’s Data Science Certificate, Data Analytics Certificate, or FinTech Bootcamp.

Check out all the Noble data science classes and bootcamps for additional options, like the Python Data Science & Machine Learning Bootcamp, Python for Data Science Bootcamp, or Python Machine Learning Bootcamp.