Data Science Mastery with Python: Comprehensive course

Today Data Science and Machine Learning are used in almost every industry, including automobiles, banks, health, telecommunications, telecommunications, and more. As the manager of Data Science and Machine Learning, you will have to research and look beyond common problems, you may need to do a lot of data processing. test data using advanced tools and build amazing business solutions.

However, where and how will you learn these skills required in Data Science and Machine Learning. DATA SCIENCE COURSE-OVERVIEWGetting Started with Data ScienceDefine DataWhy Data Science. Who is a Data Scientist.

What does a Data Scientist do. The lifecycle of Data Science with the help of a use caseJob trendsData Science ComponentsData Science Job RolesMath BasicsMultivariable CalculusFunctions of several variablesDerivatives and gradientsStep function, Sigmoid function, Logit function, ReLU (Rectified Linear Unit) functionCost functionPlotting of functionsMinimum and Maximum values of a functionLinear AlgebraVectorsMatricesTranspose of a matrixThe inverse of a matrixThe determinant of a matrixDot productEigenvaluesEigenvectorsOptimization MethodsCost function/Objective functionLikelihood functionError functionGradient Descent Algorithm and its variants (e. g.

, Stochastic Gradient Descent Algorithm)Programming BasicsR Programming for Data ScienceHistory of RWhy R. R InstallationInstallation of R StudioInstall R Packages. R for businessFeatures of RBasic R syntaxR programming fundamentalsFoundational R programming concepts such as data types, vectors arithmetic, indexing, and data framesHow to perform operations in R including sorting, data wrangling using dplyr, and data visualization with ggplot2Understand and use the various graphics in R for data visualization.