{"product_id":"datascience-with-r-programming-python-at-the-training-center","title":"Datascience with R Programming \u0026 Python at the Training Center","description":"\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e1.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eIntroduction to Data Science\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eIntroduction, Demand, Core Components, Life Cycle, Big Data and Data Analytics, Data Science in the Real World, Tools and Technology.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e2.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eHadoop\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eIntroduction, Ecosystem, Installation, HDFS, MapReduce API, Applications, Examples\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e3.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eSpark\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eIntroduction, Installation, RDD, Transformations, Actions, Spark Streaming, Examples.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e4.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eStatistics\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eBasics of Statistics, Descriptive Statistics, Inferential Statistics, Qualitative vs. Quantitative Analysis, Hypothesis Testing\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e5.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eMachine Learning\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eIntroduction, Types, Supervised Learning, Unsupervised Learning, Predictive Analytics. \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e6.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eData Science Using R\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eIntroduction, RStudio, CRAN Repository, R and Other Products, Installation, R Packages, R Mathematical Functions, Operators, Data Types, Statements, Functions, Data Structures, Data Interfaces, Data Visualisation using R, \u003cem\u003eCase Studies - Time Series Analysis, Sentiment Analysis.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e7.       \u003c\/strong\u003e\u003cstrong\u003e\u003cspan\u003eData Science Using Python\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eBasics, Libraries, Tools – Anaconda, IPython, Jupyter, Operators, Data Types, Control Statements, Functions, Lists, Pandas, Numpy, Data Visualisation using matplotlib, \u003cem\u003eCase Study – Automobile Data Exploration\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"211\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eFinal Project\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"402\"\u003e\n\u003cp\u003e\u003cspan\u003eShowcase the knowledge and skills acquired during the course. The project takes the form of a challenge in which learner will explore a dataset and develop a machine learning solution.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Khushi Homes","offers":[{"title":"Default Title","offer_id":21698932605006,"sku":"for two months training","price":36000.0,"currency_code":"INR","in_stock":true}],"url":"https:\/\/buyonline-20.myshopify.com\/products\/datascience-with-r-programming-python-at-the-training-center","provider":"Property Made Easy","version":"1.0","type":"link"}