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This is the Curriculum forLearn Data Science in 3 Months by Siraj Raval on Youtube. After completing this course, start applying for jobs, doing contract work, start your own data science consulting group, or just keep on learning. Remember to believe in your ability to learn. You can learn data science, you will learn data science, and if you stick to it, eventually you will master it.
Join the #DataSciencein3Months channel in ourSlack channel to find one.
- 3 Projects
- 1 Weekly assignment. Pick 1 from the course for each week, do it in a weekend.
- 12 Weeks
- 2-3 Hours of Study per Day
- Python, SQL, R, Tensorflow, Hadoop, MapReduce, Spark, GitHub,
- Watch videos at 2x or 3x speed using a browser extension
- Handwrite notes as you watch for memory retention
- Immerse yourself in thecommunity
- EdXhttps://www.edx.org/course/introduction-python-data-science-2
- Siraj Ravalhttps://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU
- Try your best at a competition of your choice fromKaggle.
- UseKaggle Learn as a helpful guide
- Part 1 and 2 of DL Bookhttps://www.deeplearningbook.org/
- Siraj Ravalhttps://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3
- Try your best at a competition of your choice fromKaggle. Make sure to add great documentation to your github repository! Github is the new resume.
- Udacityhttps://www.udacity.com/course/intro-to-relational-databases--ud197
- EdXhttps://www.edx.org/course/introduction-to-nosql-data-solutions-2
- Udacityhttps://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617
- Spark Workshophttps://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf
- Try your best at a competition of your choice fromKaggle.
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This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
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