Data Science online training

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Data Science online training  

Enrollmytraining provide the Data Science online training to Hyderabad, India ,USA,UK,Canada,Australia,UAE,Malaysia,Singapore all countries, we have industry experts trainer.

Data Science Course Content Overview Introduction to Data Science

Need for Data Scientists Foundation of Data Science What is Business Intelligence What is Data Analysis What is Data Mining What is Machine Learning Analytics vs Data Science Value Chain Types of Analytics Lifecycle Probability Analytics Project Lifecycle Data Basis of Data Categorization Types of Data Data Collection Types Forms of Data & Sources Data Quality & Changes Data Quality Issues Data Quality Story What is Data Architecture Components of Data Architecture OLTP vs OLAP How is Data Stored? Big Data What is Big Data?

5 Vs of Big Data Big Data Architecture Big Data Technologies Big Data Challenge Big Data Requirements Big Data Distributed Computing & Complexity Hadoop Map Reduce

Framework Hadoop Ecosystem Data Science Deep Dive What Data Science is Why Data Scientists are in demand What is a Data Product The growing need for Data Science Large Scale Analysis Cost vs Storage Data Science Skills Data Science Use Cases Data Science Project Life Cycle & Stages Map Reduce Framework Hadoop Ecosystem Data Acuqisition Where to source data Techniques Evaluating input data Data formats Data Quantity Data Quality Resolution Techniques Data Transformation File format Conversions

Annonymization Intro to R Programming Introduction to R Business Analytics Analytics concepts The importance of R in analytics R Language community and eco-system Usage of R in industry Installing R and other packages Perform basic R operations using command line Usage of IDE R Studio and various GUI R Programming Concepts The datatypes in R and its uses Built-in functions in R Subsetting methods Summarize data using functions Use of functions like head(), tail(),

for inspecting data Use-cases for problem solving using R Data Manipulation in R Various phases of Data Cleaning Functions used in Inspection Data Cleaning Techniques Uses of functions involved Use-cases for Data Cleaning using R Data Import Techniques in R Import data from spreadsheets and text files into R Importing data from statistical formats Packages installation for database import Connecting to RDBMS from R using ODBC and basic SQL queries in R Web Scraping Other concepts on Data Import Techniques Exploratory Data Analysis (EDA) using R What is EDA?

Why do we need EDA?

Goals of EDA Types of EDA Implementing of EDA Boxplots, cor() in R EDA functions Multiple packages in R for data analysis Some fancy plots Use-cases for EDA using R Data Visualization in R Story telling with Data Principle tenets Elements of Data Visualization

Infographics vs Data Visualization Data Visualization & Graphical functions in R Plotting Graphs Customizing Graphical Parameters to improvise the plots Various GUIs Spatial Analysis Other Visualization concepts.

Data Science online training

20 data science interview questions

Data Science online training batch starts at weekend .You can enroll on your flexible timing

DATA SCIENCE online training batch starts at weekend. You can enroll on your flexible timing.

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