Example input
[Skills to develop]: Data analysis, SQL, Tableau
[Years of experience]: 2 years as a Business Analyst
[Strengths]: Critical thinking, collaboration, fast learner
[Target job]: Data Scientist
[Week 1 skills]: Intro to Python, Statistics fundamentals
[Week 2 skills]: Data cleaning techniques, Exploratory data analysis
[Week 3 skills]: SQL queries, Database management
[Week 4 skills]: Data visualization with Tableau
[Week 5 skills]: Statistical modeling, A/B testing
[Week 6 skills]: Machine learning algorithms
[Week 7 skills]: Natural language processing
[Week 8 skills]: Cloud computing, Presentation skills
This allows the user to tailor the training plan to their specific skills, experience, strengths and target goals. The personalized inputs will result in a customized learning roadmap from ChatGPT optimized for the user's career growth.
Example output
8-Week Training Plan for Data Analyst transitioning to Data Scientist Role
Week 1:
- Learn basics of Python programming (online course, 15 hrs)
- Study statistical distributions, hypothesis testing (statistics text, 5 hrs)
- Metrics: Take Python quiz, score ≥75%. Pass statistic concepts test.
Week 2:
- Practice data cleaning techniques (guided project, 10 hrs)
- Explore datasets with visualization, summary stats (tools practice, 5 hrs)
- Metrics: Clean sample dataset with ≥95% accuracy. Generate exploratory analysis report.
Week 3:
- Complete SQL course and exercises (online course, 10 hrs)
- Manage sample databases with queries (hands-on project, 5 hrs)
- Metrics: Pass SQL proficiency assessment with score ≥90%.
Week 4:
- Learn Tableau through interactive tutorials (Tableau platform, 10 hrs)
- Build 5 advanced visualizations for sample dataset (hands-on activity, 5 hrs)
- Metrics: Create proficient Tableau dashboard judged by peer review.
This demonstrates how the prompt can generate a personalized, measurable skills training plan tailored to the individual's goals, experience level, and learning needs.