Ever since my time working at Burger King, I knew how to structure the learning process, and a few years ago I completed the famous course on how to learn, which confirmed my strategy. I use a school-like approach, where I have different "lessons" throughout the day. This is based on the principles of repetition (the forgetting curve) and how the brain processes knowledge.
I take several courses in parallel to maintain knowledge in accordance with the forgetting curve. This allows me to have a full set of well-assimilated skills by the time I start working. This approach is more effective than taking courses sequentially. In the latter case, I would only remember the recently completed material well, gradually forgetting the content of earlier courses, and would hardly remember the first one at all.
graph TD
A[Data Analysis]:::blue --> B[SQL]:::purple
A --> C[Python]:::green
A --> F[Tableau]:::orange
C --> D[NumPy]:::lightgreen
C --> E[Pandas]:::lightgreen
classDef blue fill:#3498db,stroke:#333,stroke-width:2px,color:white;
classDef green fill:#2ecc71,stroke:#333,stroke-width:2px,color:white;
classDef purple fill:#9b59b6,stroke:#333,stroke-width:2px,color:white;
classDef lightgreen fill:#a1e8af,stroke:#333,stroke-width:2px;
classDef orange fill:#f39c12,stroke:#333,stroke-width:2px,color:white;
style A rx:10,ry:10
style B rx:10,ry:10
style C rx:10,ry:10
style D rx:10,ry:10
style E rx:10,ry:10
style F rx:10,ry:10
As I constantly adjust my plan based on the general direction of data analysis, I'll simply provide an example of the courses I'm currently taking on August 27, 2024.
https://www.coursera.org/professional-certificates/tableau-business-intelligence-analyst
https://www.coursera.org/professional-certificates/meta-data-analyst
https://stepik.org/course/113918/syllabus
https://stepik.org/course/68343/syllabus
https://stepik.org/course/195685/syllabus
https://stepik.org/course/120014/syllabus