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🔥Data Science Master Program: https://www.edureka.co/masters-progra... This Edureka "Top 10 Data Science Certifications in 2021" video will first give some tips on how to choose a Certificate Program. Moving on, we will address the main topic of today's session that is the Top 10 Data Science Certifications for the year 2021. Following are the topics covered in this video: 00:00:00 Introduction 00:01:27 How to Choose a Certificate Program 00:02:45 Top 10 Data Science Certifications 🔹Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs 🔹Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist -----------------------------------Edureka Online Training and Certification-------------------------------- 🔵 Data Science Online Training: https://bit.ly/2NCT239 🔵Data Scientist Masters Program: https://bit.ly/2YHaolS 🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi 🔵Data Science PGP: https://bit.ly/3dIeYV9 🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1 ---------------------------------------------------------------------------- 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Twitter: / edurekain LinkedIn: / edureka Instagram: / edureka_learning Facebook: / edurekain SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?count... Meetup: https://www.meetup.com/edureka/ #edureka #edurekadatascience #Top10DataScienceCertifications #DataScienceCareer #DataScientist #LearnDataScience #WithMe #careerupgrade #upskill ------------------------------------------------------- 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.co or call us at: IND: 9606058406 / US: 18338555775 (toll free)