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Python Library for Data Science

Some major update in power bi October 2023 are OneDrive and SharePoint integration in Power BI Desktop New Date Hierarchy Power BI Home in Desktop Deduplication rules for composite models on Power BI Datasets and Analysis Services update in data model edit in the Power BI Service update in snowflake connector add panview OKR conenctor

Some of the trending topics in data science are: Big Data on the Cloud Use of Augmented Analytics Automation of Data Cleaning Increase in Use of Natural Language Processing Democratizing AI and Data Science Automation of Machine Learning (AutoML) Computer Vision for High Dimensional Data Analytics Generative AI for Deepfake and Synthetic Data Blockchain in

Some of the most popular platforms to learn data science are: Coursera edX Udemy Udacity DataCamp Edureka Kaggle

some of the best book for learning data science are: Data Science from Scratch: First Principles with Python by Joel Grus python data science handbook by Jake VanderPlas Build a Career in Data Science by Emily Robinson and Jacqueline Nolis Data Science for Dummies by Lillian Pierson Cleaning Data for Effective Data Science by David

Learn data science from beginning: Learn Python and python libraries for data science. Build a Strong Foundation in Statistics and Math Learn Machine Learning Algorithms work on data science projects  Continue Learning Follow link for more: How to Learn Data Science from Scratch (hbs.edu) How To Learn Data Science From Scratch [2023 Guide] (springboard.com)

If you want to become a data scientist, you need to focus on the skills and knowledge required for the data scientist. Technical Skills Programming Languages (Python, R) Business Intelligence Tools such as Power BI, Tableau Big data technologies such as Hadoop, Hive, Pig, and MapReduce Database Knowledge (SQL, NOSQL, ORACLE, POSTGRESQL, MYSQL) Machine Learning