Becoming a data professional requires discipline and a structured approach to learning and developing your skills. Here are some steps you can take to become a data professional with discipline:

1. Set Clear Goals: Define your long-term and short-term goals as a data professional. For example, you may want to become a data analyst, data scientist, or data engineer. Setting clear goals will help you stay focused and motivated throughout your journey.
2. Develop a Learning Plan: Once you have your goals in mind, create a learning plan that outlines the specific skills and knowledge you need to acquire. Break down your plan into smaller, manageable tasks and set deadlines for each task. This will help you stay organized and track your progress.
3. Acquire Foundational Knowledge: Start by building a strong foundation in the core concepts of data analysis and data science. This may include learning programming languages like Python or R, understanding statistics and probability, and familiarizing yourself with databases and SQL.
4. Take Online Courses or Attend Workshops: There are numerous online platforms that offer courses and workshops on data analysis, data science, and related topics. Look for reputable platforms like Coursera, edX, or DataCamp, and enroll in courses that align with your learning plan. These courses often provide structured learning materials, assignments, and quizzes to help you reinforce your knowledge.
5. Practice Hands-on Projects: Theory alone is not enough to become proficient in data analysis. Practice is crucial to develop your skills. Look for datasets online or create your own, and work on real-world projects that allow you to apply the concepts you've learned. This will help you gain practical experience and build a portfolio of projects to showcase your abilities to potential employers.
6. Join Data Communities: Engage with the data community by joining online forums, attending meetups, or participating in data-related events. Networking with other data professionals can provide valuable insights, mentorship opportunities, and access to job openings.
7. Stay Updated: The field of data analysis and data science is constantly evolving. Stay updated with the latest trends, tools, and techniques by following industry blogs, reading books, and attending webinars or conferences. Continuous learning is essential to remain competitive in the field.
8. Develop Soft Skills: In addition to technical skills, data professionals also need strong communication, problem-solving, and critical-thinking skills. Work on improving your ability to communicate complex ideas effectively, collaborate with others, and think critically about data-related challenges.
9. Build a Professional Online Presence: Create a professional online presence by building a LinkedIn profile and showcasing your skills, projects, and achievements. This will help you connect with potential employers and demonstrate your expertise in the field.
10. Seek Feedback and Mentorship: Actively seek feedback on your work and seek mentorship from experienced data professionals. Constructive feedback can help you identify areas for improvement and mentorship can provide guidance and support as you progress in your career.

Remember, discipline is key to success in any field. Stay consistent, dedicated, and committed to your learning journey, and you'll be well on your way to becoming a data professional.