Comparison of Data Science Training Formats

Data science is a field that is involved with finding actionable insights from within an organization’s data. Data Scientists use a variety of tools and techniques to locate this valuable information, such as programming, math and statistics, advanced analytics, machine learning, and artificial intelligence. Once useful data has been located, it can then be presented to decision-makers within an organization, who can use this information for strategic planning. Because of the value this data contains, it’s no surprise that organizations of all sizes and types seek those with a background in data science. Read on to learn about what to consider when looking for corporate data science training options and to find out about the options that are available for onsite and online training.

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 Skills?

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.

Benefits of Data Science Corporate Training

Each year, more data is created than ever before. This is why those who have experience making sense of these numbers are valued by organizations of all sizes and kinds. Corporate data science training is an excellent way to help your employees learn the skills, tools, and programming languages needed to analyze and visualize data. It doesn’t matter if your company is small and employs just a handful of people or if you have thousands of workers; data science training is essential to help it succeed. The need for Data Scientists is likely to increase as more organizations begin to appreciate the immense value of data. 

Corporate data science training helps the employees at your organization apply analytical thinking to the problem-solving process. This skill isn’t only useful for data analysis but for a range of tasks in the professional sector and beyond. By investing in their corporate training, you are providing them with a set of skills with a variety of applications in fields like finance, higher education, business intelligence, marketing, government, and healthcare. One of the best parts about learning data science is that you don’t necessarily have to be a tech-savvy person to acquire data skills. The data analytics process relies largely on devising creative solutions to questions or complex problems facing a company. In addition, visualizing data findings is a creative act as well. Those who know how to tell a visual story about data have the power to share important information with stakeholders in a manner that ensures it’s easy to access and understand. Corporate training combines technical and creative instruction so that employees will be well-rounded at work and elsewhere.

Who Benefits Most from Data Science Corporate Training?

A LinkedIn Learning study recently found that 94% of employees want to work for an organization willing to invest in continued professional development. Corporate training in data science, also known as workplace learning, provides employees with a variety of useful educational activities designed to help them gain both soft and hard skills, such as problem-solving, analytical thinking, clear communication, as well as programming skills, data visualization knowledge, and spreadsheet experience. These skills not only help the organization operate more efficiently and for less money but are transferable to other professional roles. Employers that offer free data science corporate training are investing in creating intellectual capital for their employees, as well as reskilling or upskilling them. Corporate training benefits everyone, from the employer to the employees to the customers who purchase the company’s products or services.

New Skills or Upskilling?

If you’re deciding whether to train some or all of your employees in data science, you may not be sure how many will benefit from acquiring this skill set. Corporate data science training should serve the organization’s needs and objectives. If your organization regularly works with data, training all employees in data science may be beneficial since they will all need this knowledge. However, if one department primarily performs data-related tasks, you may only wish to train those individuals. The information your employees acquire through corporate training can be shared as needed with others within the organization. 

Because a large component of the data science process involves translating abstract numbers into data-based stories and visualizations, the insights gathered from the data will be presented to stakeholders as needed. This means that, at a minimum, those who work primarily with your organization’s data would benefit from corporate data science training. Whether you want to train just a few employees in data science or want all of your employees to master this skill set, the many benefits of corporate training outweigh the costs. 

Onsite or Online?

If you’d like to invest in corporate data science training for the employees at your organization, you may be unsure whether onsite or online training is better for them. For onsite training, someone with expertise and real-world data science experience will come to your organization to train your employees. Training will likely take place in a computer lab or will involve a space where your employees can access their computers. This will allow them to work with the tools they’ll need in data science, such as Python, Tableau, SQL, Excel, or Power BI. The instructor will provide hands-on training in one or more of these tools. Those who attend can ask questions as they arise and benefit from the instructor being there, ready to provide guidance or support.

Virtual training in data science is another corporate training option that many organizations opt for. Online learning is available in the live online format using a teleconferencing platform like Teams or Zoom. An expert instructor leads the discussion in real time. This allows your employees to ask questions and receive guidance, even though the instructor is remote. elearning is a common and popular training type in a range of fields and industries. Since many data science tasks are performed on the computer, this subject matter lends itself to the online format. A recent study found that corporate elearning is expected to grow by 250% by 2026. Instead of requiring employees to attend training in person, it offers a flexible way that allows them to study data science remotely. This is especially useful for those who may not live near a metropolitan area or major college or university. Virtual data science training doesn’t require your employees to commute and allows them to complete their studies from the comfort of their own space.

Training Options for Employees

Corporate and onsite data science training options are currently available from Noble Desktop. You can choose from onsite or live online training in one or several of Noble’s classes, all of which are listed on its schedule. In addition, Noble can also design a tailored curriculum that gives you the flexibility to customize the sort of training your employees will receive. This allows you to sculpt the training your employees will receive around your organization’s needs, as well as any prior training or data science knowledge your employees may have acquired. In addition, flexible training options are offered so that studying data science won’t compete with your employees’ other professional responsibilities.

Noble can provide your employees with corporate training in data science in general or in one of the most common tools used by Data Scientists, such as SQL, Python, Excel, Tableau, or machine learning. If you wish to provide corporate data science training for multiple employees, group class vouchers are also available. These can be bought in bulk at a discount and provide a way to decide which course or courses would most benefit your employees. These vouchers provide those at your organization with the flexibility to fit their training in around other commitments as their schedule permits.

Noble Desktop has both short and long data science training options. For shorter training, you may want to explore a bootcamp in a topic like SQL Server or Python. These classes generally take several weeks to complete and offer excellent hands-on training. If your employees are new to a particular tool, such as using Tableau to visualize data, an introductory-level class may be a better option. These courses are generally shorter in duration than a bootcamp. Some, like Excel Level 1: Fundamentals or Tableau Level 1, only require one day to complete. 

Supplemental Training Options

Alternative data science training methods are also available from Noble Desktop. If you’re interested in supplemental data science training for your employees, Noble offers vouchers to its bulk enrollment classes. These learning opportunities provide employees with the flexibility of choosing when it is best for them to study data science. Training can occur outside of business hours, even, which makes this option appealing for employees who have full schedules or are balancing multiple commitments and still would benefit from studying data science.

If you’d like to learn more about how Noble can help your employees acquire data science training, don’t hesitate; contact Noble today.

Key Takeaways

• One of the most effective ways to help your employees learn core data science skills is to invest in corporate training.
• Corporate training options in data science are available in person at your organization’s location, as well as in the virtual format using a platform like Zoom. 
• Employers who invest in corporate training for their employees see many benefits from this continued education. Not only do the data skills they learn help them perform their job more effectively and efficiently, but the vast majority of employees value working for an organization willing to invest in their continued education.
• Comprehensive corporate data science training is available through Noble Desktop, either in person or online. Instruction on a range of data science topics is available, such as machine learning, Excel, Tableau, Python, and SQL.