<Data science using Python TRAINING Institutes In Noida, Ghaziabad, Gurgaon, Faridabad, Greater Noida

Data science using Python Training

Python is mainly stated as high-level, general-purpose programming language, which emphasizes code readability. The syntax helps the programmers to express their concepts in few general "lines of code" when compared with other promising languages, like Java or C++. Through our courses, you can easily construct clear programs, on both large and small scales.As the importance of Python programming language is gaining huge popularity, therefore; the need to understand and know the language is increasing among people. When you think about Python training, you must look for an Ducat expert help.

Course Overview

  • Overview of Data science
  • What is Data Science
  • Different Sectors Using Data Science

Data Analytics Overview

  • Exploratory Data Analysis(EDA)
  • EDA-Quantitative Technique
  • EDA - Graphical Technique
  • Data Analytics Conclusion or Predictions
  • Data Types for Plotting
  • Data Types and Plotting

Mathematical Computing with python(NumPy)

  • Introduction to Numpy
  • Activity-Sequence
  • Creating and Printing an ndarray
  • Class and Attributes of ndarray
  • Basic Operations
  • Activity – Slicing
  • Copy and Views
  • Mathematical Functions of Numpy
  • Advance Slicing
  • Transpose and arance
  • Searching

Scientific Computing with Python(SciPy)

  • Introduction of SciPy
  • SciPy Sub Package - Integration and Optimization
  • SciPy sub package
  • Demo - Calculate Eigenvalues and Eigenvector
  • Demo - Calculate Eigenvalues and Eigenvector

Data Manipulation with Pandas

  • Introduction of Pandas
  • Data Types in Pandas
  • Understanding Series
  • Understanding DataFrame
  • View and Select Data Demo
  • Missing Values
  • Data Operations
  • File Read and Write Support
  • Pandas Sql Operation

Python for Data Visualization-Matplotlib

  • Introduction to Matplotlib
  • Matplotlib Part 1 Set up
  • Matplotlib Part 2 Plot
  • Matplotlib Part 3 Next steps
  • Matplotlib Exercises Overview
  • Matplotlib Exercises – Solutions

Python Data Visualization – Seaborn

  • Introduction to Seaborn
  • Distribution Plots
  • Categorical Plots
  • Matrix Plots
  • Regression Plots
  • Grids
  • Style and Color
  • Seaborn Exercise Overview
  • Seaborn Exercise Solutions

Introduction to Machine Learning

  • Link for ISLR
  • Introduction to Machine Learning
  • Machine Learning with Python

Linear Regression

  • Linear Regression Theory
  • Model selection Updates for SciKit Learn
  • Linear Regression with Python – Part 1 Introduction
  • Linear Regression with Python – Part 2 Deep Dive
  • Linear Regression Project Overview and Project Solution

Logistic Regression

  • Logistic Regression Theory – Introduction
  • Logistic Regression with Python – Part 1 – Logistics
  • Logistic Regression with Python – Part 2 – Regression
  • Logistic Regression with Python – Part 3 – Conclusion
  • Logistic Regression Project Overview and Project Solutions

K Nearest Neighbours

  • KNN Theory
  • KNN with Python
  • KNN Project Overview and Project Solutions

Decision Trees and Random Forests

  • Introduction to Tree Methods
  • Decision Trees and Random Forest with Python
  • Decision Trees and Random Forest Project Overview
  • Decision Trees and Random Forest Solutions Part 1
  • Decision Trees and Random Forest Solutions Part 2

Support Vector Machines

  • SVM Theory
  • Support Vector Machines with Python
  • SVM Project Overview
  • SVM Project Solutions

K Means Clustering

  • K Means Algorithm Theory
  • K Means with Python
  • K Means Project Overview
  • K Means Project Solutions

Principal Component Analysis

  • Principal Component Analysis
  • PCA with Python

Recommender Systems

  • Recommender Systems
  • Recommender Systems with Python – Part 1 The Foundation
  • Recommender Systems with Python – Part 2 Deep Dive

Natural Language Processing

  • Natural Language Processing Theory
  • NLP with Python
  • NLP Project Overview
  • NLP Project Solutions

Big Data and Spark with Python

  • Big Data Overview
  • Spark Overview
  • Local Spark Set-Up
  • AWS Account Set-Up
  • Quick Note on AWS Security
  • EC2 Instance Set-Up
  • SSH with Mac or Linux
  • PySpark Setup
  • Lambda Expressions Review
  • Introduction to Spark and Python
  • RDD Transformations and Actions
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