Statistics and Probability for DS | Data Science | Edureka | DS Rewind - 1

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🔥Data Scientist Masters Program: https://www.edureka.co/masters-program/data-scientist-certification This session on Statistics And Probability will cover all the fundamentals of stats and probability. Topics covered in this video: 00:00:00 Introduction 00:02:15 Agenda 00:02:30 Probability 00:03:36 Probability Terminologies 00:04:55 Probability Types of Events 00:06:08 Probability Distributions 00:06:32 Probability PDF 00:08:20 Probability Normal Distribution 00:12:59 Types of Probability 00:13:23 Marginal Probability 00:14:07 Joint Probability 00:14:31 Conditional Probability 00:16:18 Bayes Theorem 00:17:51 Applications 00:18:28 Statistics 00:18:55 Statistics Terminologies 00:21:26 Statistics Sampling Techniques 00:21:29 Random Sampling 00:21:40 Systematic Sampling 00:21:58 Stratified Sampling 00:22:27 Types of Statistics 00:24:37 Descriptive Statistics 00:25:46 Measures of Center 00:29:19 Measures of Spread 00:34:44 Information Gain 00:39:40 Inferential Statistics 00:42:44 Point Estimation 00:42:55 Interval Estimate Check our complete Data Science playlist here: https://goo.gl/60NJJS 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV ------------------------------------Edureka Online Training and Certification--------------------------------- 🔵 DevOps Online Training: https://bit.ly/2BPwXf0 🟣 Python Online Training: https://bit.ly/2CQYGN7 🔵 AWS Online Training: https://bit.ly/2ZnbW3s 🟣 RPA Online Training: https://bit.ly/2Zd0ac0 🔵 Data Science Online Training: https://bit.ly/2NCT239 🟣 Big Data Online Training: https://bit.ly/3g8zksu 🔵 Java Online Training: https://bit.ly/31rxJcY 🟣 Selenium Online Training: https://bit.ly/3dIrh43 🔵 PMP Online Training: https://bit.ly/3dJxMTW 🟣 Tableau Online Training: https://bit.ly/3g784KJ -----------------------------------------Edureka Masters Programs--------------------------------------------------- 🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp 🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ 🔵Data Scientist Masters Program: https://bit.ly/2YHaolS 🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv 🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi 🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2 🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb 🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf ---------------------------------------Edureka Post Graduate Courses------------------------------------------- 🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q ----------------------------------------------------------------------------------------------------------- Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?country=in Meetup: https://www.meetup.com/edureka/ #edureka #DataScienceEdureka #statisticsfordatascience #whatisdatascience #learn #datascience #withMe - - - - - - - - - - - - - - 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 [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)