We have the Requirement of Trainer for 10 days offline Training for Roorkee Location on Python for Data Science. Who can delivered the below given Contents.
Data Science with Python Course Curriculum
Introduction to Python Overview of Python The Companies using Python Different Applications where Python is Used Discuss Python Scripts on UNIX/Windows Values, Types, Variables Operands and Expressions Conditional Statements Loops Command Line Arguments Writing to the Screen Sequences and File Operations Python files I/O Functions Numbers Strings and related operations Tuples and related operations Lists and related operations Dictionaries and related operations Sets and related operations Deep Dive Functions, OOPs, Modules, Errors and Exceptions Functions Function Parameters Global Variables Variable Scope and Returning Values Lambda Functions Object Oriented Concepts Standard Libraries Modules Used in Python The Import Statements Module Search Path Package Installation Ways Errors and Exception Handling Handling Multiple Exceptions Introduction to NumPy, Pandas and Matplotlib Data Analysis NumPy - arrays Operations on arrays Indexing, slicing, and iterating Reading and writing arrays on files Pandas - data structures & index operations Reading and Writing data from Excel/CSV formats into Pandas Metadata for imported Datasets Matplotlib library Grids, axes, plots Markers, colors, fonts, and styling Types of plots - bar graphs, pie charts, histograms Contour plots Data Manipulation Basic Functionalities of a data object Merging of Data objects Concatenation of data objects Types of Joins on data objects Exploring a Dataset Analyzing a dataset Fundamentals of Machine learning Intro to SciKit learn Supervised Machine Learning- Classification & Regression Evaluation- Evaluation and Model selection methods Random forests and Gradient boosted trees Applied Text Mining in Python
Keyskills: python matplotlib scikit-learn numpy data analytics
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