This is my repository for the course Learn Data Science in 3 Months by Siraj Raval on Youtube.

• 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,

• EdX https://www.edx.org/course/introduction-python-data-science-2
• Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU
• Week 1 summary

• KhanAcademy https://www.khanacademy.org/math/statistics-probability
• Week 2 summary

• EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis
• Week 3 summary

• Try your best at a competition of your choice from Kaggle.
• Use Kaggle Learn as a helpful guide

• Statistics
• Probability
• Calculus
• Linear Algebra

• Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/

• Part 1 and 2 of DL Book https://www.deeplearningbook.org/
• Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3

• Try your best at a competition of your choice from Kaggle. Make sure to add great documentation to your github repository! Github is the new resume.

• Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197
• EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2

• Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617
• Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf

• Edx https://www.edx.org/course/analytics-storytelling-impact-1

• Try your best at a competition of your choice from Kaggle.