Master Data Science in 2024: Your Complete Step-by-Step Learning Guide 📊

Discover a comprehensive action plan to learn data science effectively in 2024. Start your journey with expert tips and resources to become a data scientist!

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🔥Edureka Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification This Edureka video on Step By Step Action Plan To Learn Data Science In 2020 will help you understand How you can learn Data Science in an easy and perfectly ordered manner. Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s ---------------------------------------------------------------------------------------------------------- 🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates SlideShare: https://www.slideshare.net/EdurekaIN Meetup: https://www.meetup.com/edureka/ #Edureka #DataScience #datascienceactionplan2020 #datascience2020 #datasciencetutorial #datasciencetraining ----------Edureka Data Science Training & Certifications------------ 🔵 Data Science Training using Python: http://bit.ly/2P2Qbl8 🔵 Data Science Training using R: http://bit.ly/2u5Msw5 🔵 Python Programming Training: http://bit.ly/2OYsVoE 🔵 Machine Learning Course using Python: http://bit.ly/2SApG99 🔵 Data Scientist Masters Program: http://bit.ly/39HLiWJ 🔵 Machine Learning Engineer Masters Program: http://bit.ly/38Ch2MC ---------------------------------------------------------------------------------------------------------- About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the end of the program, you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free)
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Jun 5, 2020

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