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How to Develop a Data Science Training Program inside Your Company

It’s no surprise that the projected openings for data-savvy professionals is on the rise. But what’s a shame is that most of those people currently learn from online and self-taught courses. It’s time to update things so that employees can learn from training inside of the company. In an article for TechRepublic, Mary Shacklett gives some steps in how to create your own data science program:

  1. Analyze the task and skills gaps in your company’s projects.
  2. Map your skill-needs findings to internal staff.
  3. Design a curriculum, and find a project.
  4. Continuously communicate with project managers.
  5. Continuously revise the curriculum to keep up with real-world project requirements.

Data Training for the Future

The first step is to find the areas that managers or projects are coming up short and examine them. After doing that, you can look at the skill sets that the company needs and compare them to the skill sets of people working in the organization. People with the right backgrounds should be selected as trainees to train in the skill areas that the business needs. Keep your project managers in the loop and ask for some more information about these candidates. Once you’ve mapped your internal staff, you can design a proper curriculum and apply it to real-life projects.

Communicate with project managers to keep an eye on how your newly-trained employees are doing. This will help you know the strengths and weaknesses of your training program. This is incredibly helpful in the final step, which Shacklett says is to keep the curriculum up to date with real-world project requirements:

Some project needs will remain relatively constant while others will evolve as technology and business changes. It is essential, if you are developing training, to keep pace with these changes so your training always delivers the skills education that your projects need. You can ensure this cohesion by constantly evaluating projects, and then going back to your curriculum to ensure that the training is in sync with project needs.

Finally, I’ll borrow a phrase from Sara Sproehnle, vice president of educational services at Cloudera: “You can easily cross-train people,” said Sproehnle. “It’s not that the technology is incomprehensible. You just need to take existing developers, analysts and admins and cross-train them.”

You can view the original article here: https://www.techrepublic.com/article/how-to-develop-an-internal-data-science-training-program/

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