In this video we will talk about how you can become a data analyst by acquiring necessary skills using free online resources. Data analyst and data scientist are two lucarative roles in the field of data science. Data analysts draw insights from data using excel, SQL, BI tools (tableau, power BI, Qlik), Python, SAS etc. All the resources mentioned below are free and you can learn these skills on your own by following these resources.
#DataAnalystSkills #DataScientist #DataAnalyst
Presentation link: https://drive.google.com/file/d/10D2fjSBdGQBafo7UdvoZAzg8tIYKhnTv/view?usp=sharing
Excel:
https://www.edx.org/course/introduction-to-data-analysis-using-excel-2
https://chandoo.org/
SQL:
https://www.khanacademy.org/computing/computer-programming/sql
https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB (first 12, kudvenkat)
Python:
https://www.youtube.com/playlist?list=PLeo1K3hjS3usILfyvQlvUBokXkHPSve6S (first 19)
SAS:
https://www.youtube.com/watch?v=-31TLJt1ZPw
R:
https://www.edx.org/course/data-science-r-basics
https://www.edx.org/course/introduction-to-r-for-data-science-2
Statistics:
https://www.khanacademy.org/math/statistics-probability
Tableau:
https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
Power BI:
https://www.edx.org/course/analyzing-and-visualizing-data-with-power-bi-2 (microsoft free course)
Story Telling:
https://www.edx.org/course/analytics-storytelling-for-impact-2 (This one uses power BI)
Pandas:
https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy (first 10)
Matplotlib:
https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
Other Useful Resources:
Learn coding for beginners: https://www.youtube.com/watch?v=CptrlyD0LJ8
Tips to improve programming skills: https://youtu.be/HT76DdBCIfU
Books:
Statistics: Think Stats Book: http://greenteapress.com/thinkstats2/thinkstats2.pdf
Python: Automate boring stuff with python: https://automatetheboringstuff.com/
Python data science handbook: https://jakevdp.github.io/PythonDataScienceHandbook/
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