From 387ab654f6996b752410b8a70be16efdb1ecd91b Mon Sep 17 00:00:00 2001 From: CHAITANYA KATORE <106269976+chaitanyakatore@users.noreply.github.com> Date: Sun, 16 Jul 2023 18:43:01 +0530 Subject: [PATCH] Update README.md --- Data-Science/README.md | 20 -------------------- 1 file changed, 20 deletions(-) diff --git a/Data-Science/README.md b/Data-Science/README.md index 123f48a6..a5319720 100644 --- a/Data-Science/README.md +++ b/Data-Science/README.md @@ -1,15 +1,11 @@ # Data Science Roadmap - - ## What Is Data Science - [what is data science? -ibm.com](https://www.ibm.com/topics/data-science) - [what is data science? -aws.amazon.com](https://aws.amazon.com/what-is/data-science/) - [what is data science? -simplilearn.com](https://www.simplilearn.com/tutorials/data-science-tutorial/what-is-data-science) - ## Programming Languages - ### R - good tool for visualization and statistical analysis - [R programming tutorial -Youtube(freeCodeCamp.org)](https://youtu.be/_V8eKsto3Ug) @@ -34,9 +30,7 @@ - [SQL for Data Analysis -W3schools(W3schools.com)](https://www.w3schools.com/sql/) - [SQL for Data Analysis -javatpoint(javatpoint.com)](https://www.javatpoint.com/sql-tutorial) - ## Frameworks - ### Pandas - [Pandas Tutorials -Youtube(Corey Schafer)](https://youtube.com/playlist?list=PL-osiE80TeTsWmV9i9c58mdDCSskIFdDS) @@ -57,21 +51,17 @@ - [Python Scipy -Youtube(Mr. P Solver)](https://youtu.be/jmX4FOUEfgU) - [Scipy repository for Scipy -Github(cs231)](https://cs231n.github.io/python-numpy-tutorial/#scipy) - - ## Mathematics for data science - [Mathematics and statistics for data science -Youtube(codebasics)](https://www.youtube.com/playlist?list=PLeo1K3hjS3uuKaU2nBDwr6zrSOTzNCs0l) - [Maths for data science masterclass -Udemy(Jose Portilla,Krista King)](https://www.udemy.com/share/107qEq/) - [Maths for data science -GFG(GeeksForGeeks)](https://www.geeksforgeeks.org/maths-for-data-science/) - ## Probabiliity - [Probability and stastics for data science -Khan Academy](https://www.khanacademy.org/math/statistics-probability/probability-library) - [Probability -Probability4datascience(Stanley H. Chan)](https://probability4datascience.com/ch02.html) - [Introduction to Probability(Joseph K. Blitzstein, Jessica Hwang)](https://drive.google.com/file/d/15Y0oFNHQRls1qvQNvO3DFLJVhIZvUjTD/view?usp=sharing) - ## Statistics @@ -82,10 +72,7 @@ - [Intro to Descriptive Statistics -Udacity](https://www.udacity.com/course/intro-to-descriptive-statistics--ud827) - [Fundamentals Of Statistics For Data Scientists -towardsdatascience(Tatev Karen Aslanyan)](https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7) - ## Data Manipulation - - ### Data cleaning - [Data cleaning -Youtube(Alex The Analyst)](https://youtu.be/bDhvCp3_lYw) @@ -100,7 +87,6 @@ - [Data Visualization python -Youtube(Intellipaat)](https://www.youtube.com/live/_YWwU-gJI5U?feature=share) - [Data Visualization -Youtube(datacamp)](https://app.datacamp.com/learn/courses/introduction-to-data-visualization-with-matplotlib?fbclid=IwAR1OrJSdZ2LVD_c1o3d-_1I7Nhq8OZ3pzTu4010E_XWEmMc0KYsTosz8CIU) - [Data Visualization -Kaggle(kaggle)](https://www.kaggle.com/learn/data-visualization) - ## EDA @@ -109,7 +95,6 @@ - [EDA -datacamp(datacamp.com)](https://learn.datacamp.com/courses/exploratory-data-analysis-in-python) - [EDA for ML -coursera(coursera.com)](https://www.coursera.org/learn/ibm-exploratory-data-analysis-for-machine-learning) - ## Machine Learning - [ML for beginner -Youtube(freeCodeCamp.org)](https://youtu.be/NWONeJKn6kc) @@ -121,7 +106,6 @@ - [ML intro to machine learning course -Udacity(udacity)](https://www.udacity.com/course/intro-to-machine-learning--ud120) - [ML with pythonn -Coursera(IBM)](https://www.coursera.org/learn/machine-learning-with-python) - ## Power BI - [Power BI training -Microsoft](https://powerbi.microsoft.com/en-us/learning/) @@ -129,7 +113,6 @@ - [Power BI complete course -Coursera(Keith Gibson)](https://www.coursera.org/learn/data-driven-decisions-with-power-bi) - [Power BI documented tutorial -GFG(geeksforgeeks)](https://www.geeksforgeeks.org/power-bi-tools-and-functionalities/) - ## Tableau - [Tableau data visualisation tutorial -datacamp(Parul Pandey)](https://www.datacamp.com/tutorial/data-visualisation-tableau) @@ -138,14 +121,12 @@ - [Tableau full course -Youtube(simplilearn)](https://youtu.be/HM81vShSlWY) - [Tableau documented tutorial -GFG(geeksforgeeks)](https://www.geeksforgeeks.org/what-is-tableau-and-its-importance-in-data-visualization/) - ## Web Scraping/APIs - [Web Scraping in Python -datacamp](https://learn.datacamp.com/courses/web-scraping-with-python) - [Build Web Scraper with python -RealPython(Martin Breuss)](https://realpython.com/beautiful-soup-web-scraper-python/) - [Web Scraping with python -Youtube(freeCodeCamp.org)](https://youtu.be/XVv6mJpFOb0) - ## Model Deployment - [Flask tutorial -towardsdatascience](https://towardsdatascience.com/deploying-a-deep-learning-model-using-flask-3ec166ef59fb) @@ -154,7 +135,6 @@ - [GCP tutorial -GFG(geeksforgeeks)](https://www.geeksforgeeks.org/what-is-google-cloud-platform-gcp/) - [Deploy Models with TensorFlow Serving and Flask -Coursera(Amit Yadav)](https://www.coursera.org/projects/deploy-models-tensorflow-serving-flask) - ## Sample Project Ideas - [End to end Project](https://www.youtube.com/playlist?list=PLatl6hdtJ0RnbkReSAuel6PeCPO155FpG)