Data Sciencewith PythonData Sciencewith Python

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Introduction to Data Science

What is Data ScienceWhat does data science involvesLife cycle of Data ScienceTools of Data ScienceIntroduction to Python Python environment Setup and Essentials

Introduction to pythonSoftware installationBasic operators and functions Data types with pythonConditional statement Mathematical Computing with Python (Numpy)

Introduction to NumpyIntroduction to numpy arraysHow to Access Array Elements?Indexing, Slicing, Iteration, Indexing with Boolean ArraysDealing with Flat les using numpyMathematical functionsStatistical functions (mean, median, average, standard deviation)Operations with arrays Introduction to Scientic Computing (Scipy)

Save a search as a reportEditing reportsCreating reports with visualizations charts and tables

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Data Visualization using Matplotlib

Create plots like scatter plot, histogram, bar graph, pie chart using MatplotlibGrids, axes, plotsMarkers, colour, fonts and styling. Machine learning using scikit-learn

Machine learning Process FlowMachine learning categoriesFeature selection and extraction in machine learningSupervised learning algorithms

Regression Simple linear Regression Applications of linear regression Building regression models using python Process to implement linear regression Coefcient of determination (R- Squared) Accuracy of modelMultiple linear RegressionClassication Logistic Regression Building Logistic Regression Model Understanding standard model metrics (Validation of Logistic Regression Models Standard Business Outputs

Data Manipulation with Pandas

Introduction to PandasDening data structuresUnderstanding DataframesImporting Data from various sources (Csv, txt, excel etc)Missing valuesData OperationsFile read operationsDescriptive statistics

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Web Scraping in Python

Working with Beautiful SoapParsing HTML and XMLNavigating the documentHandling CSV lesParsing JSON into Python Introduction to Deep learning

Decision TreeRandom ForestSupport Vector MachinesK – NNNaïve Bayes classier

Model evaluation techniques – concepts of confusion matrix, threshold evaluation with ROCRUnsupervised machine learning algorithmsK-Means ClusteringHierarchical Clustering

Assignment and Live Examples:

1. Resumes helping you to create your resume.2. Case study based approach.3. Placement Assistance.