Inovi Technologies is the best Data Scientist training institute in Noida. Data science Training by Expert. Data science it is a software here distributing and processing the large set of data into the cluster of computers. This Course is designed to Master yourself in the Data Science Techniques and Upgrade your skill set to the next level to sustain your career in ever changing the software Industry.This Course covers from the basics of Data Science to Big Data Hadoop, Python, Apache Spark etc.
->What is Data Science?
->What is Big Data?
->What is Machine Learning?
->What is Analytics?
->What is Data analysis and Data Mining?
->Analytics project life cycle
->Real life applications, projects and career paths of Data Science and Big Data
->Definition and computation of probability
->Measurement of central tendencies and it’s applications
->Spreads, Distributions(Normal, Z-distribution, Binomial, Poisson) and various types of probability distributions(Continuous and discrete)
->Sampling and Sampling distributions
->Measures of shape( Skewness and Kurtosis)
->Measures of relationship between variables(Correlation, causation)
->Hypothesis Testing(t-test, Chi-square, Anova)
->Measures of Dispersion( Variance, Std. deviation, Range)
->Prediction and Confidence interval-Computation and ->Analysis
Missing Value theorem
->What is EDA and why is it required?
->Data distributions and transformations
->Graphs, Bar charts, Histogram
->Box-Whisker plot, Scatter plot
->Variable selection, Bubble charts
->In built functions
->Introduction to SQL and Data bases
->SQL developer installation
->Data types and Operators
->Create and Drop data base
->DDL,DML, DCL ,TCL, Sorting commands and other keywords
->Advanced SQL-Wild cards, Constraints, Joins, Unions, NULL, Alias, Truncate, Views, Sub queries
->Why R and importance of R in Analytics?
->Installation of R and R-studio
->Data types, Variables, Operators, Decision making
->Loops, Lists, Vectors, Strings, Matrices, Arrays, Factors
->Functions (Built in and User defined functions) (aggregate, subset, merge, lapply, sapply, as.xxxx , which,sort,order- mandatory)
->Importing Data from texts , spreadsheets and webdata
->Extracting Tweets from Twitter using API
->Packages, libraries and their installation
->Data manipulation and re-shaping
->Data Visualization using R
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