Master Data Science in 2024: Your Complete Step-by-Step Learning Guide ๐
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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48.1K views โข Jun 5, 2020

About this video
๐ฅEdureka 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
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๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
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#Edureka #DataScience #datascienceactionplan2020 #datascience2020 #datasciencetutorial #datasciencetraining
----------Edureka Data Science Training & Certifications------------
๐ต Data Science Training using Python: http://bit.ly/2P2Qbl8
๐ต Data Science Training using R: http://bit.ly/2u5Msw5
๐ต Python Programming Training: http://bit.ly/2OYsVoE
๐ต Machine Learning Course using Python: http://bit.ly/2SApG99
๐ต Data Scientist Masters Program: http://bit.ly/39HLiWJ
๐ต 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, Naรฏve 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)
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
----------------------------------------------------------------------------------------------------------
๐ดDo 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------------
๐ต Data Science Training using Python: http://bit.ly/2P2Qbl8
๐ต Data Science Training using R: http://bit.ly/2u5Msw5
๐ต Python Programming Training: http://bit.ly/2OYsVoE
๐ต Machine Learning Course using Python: http://bit.ly/2SApG99
๐ต Data Scientist Masters Program: http://bit.ly/39HLiWJ
๐ต 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, Naรฏve 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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Views
48.1K
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Duration
22:26
Published
Jun 5, 2020
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