Conclusion

Congratulations! You have completed this introductory course on Data Science. You are now familiar with the Data Science lifecycle and are ready to enter into the world of Data Scientists.

Where to go from here?

Since you have now completed the introductory course, you need to start putting this knowledge to use and go towards learning advanced concepts. If you are a student, then you can find interesting datasets and apply the learned techniques on them to build your profile. If you are a professional, you can start applying the learned techniques in your day to day work.

Some advanced concepts and tools that are becoming essential for data scientists these days are:

• SQL
• Deep Learning in Python
• Matplotlib and Seaborn

Resources for datasets

The following are good resources for finding datasets:

• Kaggle
• UCI Machine Learning Repository
• Google Dataset Search Engine
• Public datasets from Governments and International Organizations such as WHO, US Census Bureau, etc.

Python resources

• Educative’s Python courses
• Python’s Documentation
• Towards Data Science

Machine Learning resources

• AdaptiLab’s Machine Learning Track on Educative
• Medium
• Towards Data Science