Data Science with Python

Data Science with Python

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Description

Data Science with Python Training at Massive Tech – A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. The Data Science with Python course provides a complete overview of Data Science analytics techniques using Python.

In this Python Data Science Course teaches you to master the concepts of Python programming. Through this Python Data Science training, you will gain knowledge in data analysis, Machine Learning, data visualization, web scraping and Natural Language Processing.

Prerequisites

Prerequisites

  • IT Professionals
  • Analytical Professionals
  • Anyone interested in Data Science
Recommended

Recommended

To best understand the Data Science with Python course, it is recommended that you begin with the course including Python Basics, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science.

Key Features
  • LIVE Instructor-led Classes
  • 24x7 on-demand technical support for assignments, queries, quizzes, project, etc.
  • Flexibility to attend the class at your convenient time.
  • Server Access to Massive's Tech Management System until you get into your dream carrier.
  • A huge database of Interview Questions
  • Professional Resume Preparation
  • Earn a Skill Certificate
  • Enroll today and get the advantage.
Curriculum
  • Introduction to Data Science
  • Different Sectors Using Data Science
  • Purpose and Components of Python
  • Data Analytics Process.
  • Knowledge Check
  • Exploratory Data Analysis (EDA)
  • EDA- Quantitative Technique
  • EDA- Graphical Technique
  • Data Analytics Conclusion or Predictions
  • Data Analytics Communication
  • Data Type for Plotting
  • Data Types and Plotting
  • Introduction to Statistics
  • Statistical and Non- Statistical Analysis
  • Major Categories of Statistics
  • Statistical Analysis Considerations
  • Population and Sample
  • Statistical Analysis Process.
  • Data Distribution
  • Dispersion
  • Knowledge Check
  • Histogram
  • Knowledge Check
  • Testing
  • Knowledge Check
  • Correlation and Inferential Statistics
  • Anaconda
  • Installation of Anaconda Python Distribution
  • Data Types with Python
  • Basic Operators and Functions
  • Introduction to Numpy
  • Activity-Sequence it Right
  • Creating and Printing and ndarray
  • Knowledge Check
  • Class and Attributes of ndarray
  • Basic Operations
  • Activity-Slice It
  • Copy and Views
  • Mathematical Functions of Numpy
  • Analyse GDP of Countries
  • Introduction to SciPy
  • SciPy Sub Package – Integration and Optimization
  • Knowledge Check
  • SciPy sub package
  • Introduction to Pandas
  • Knowledge Check
  • Understanding DataFrame
  • View and Select Data Demo
  • Missing Values
  • Data Operations
  • Knowledge Check
  • File Read and Write Support
  • Knowledge Check-Sequence it Right
  • Pandas Sql Operation
  • Analyse the Federal Aviation Authority Dataset using Pandas
  • Machine Learning Approach
  • Steps One and Two
  • Steps Three and Four
  • How it Works
  • Steps Five and Six
  • Supervised Learning Model Considerations
  • ScikitLearn
  • Supervise Learning Models- Linear Regression
  • Supervised Learning Models – Logistics Regression
  • Unsupervised Learning Models
  • Pipeline
  • Model Persistence and Evaluation
  • Knowledge Check
  • Analysing Ad Budgets for different media channels
  • NLP Overview
  • NLP Applications
  • Knowledge Check
  • NLP Libraries- Scikit
  • Extraction Considerations
  • Scikit Learn- Model Training and Grid Search
  • Analysing Spam Collection Data
  • Introduction to Data Visualization
  • Knowledge Check
  • Line Properties
  • (x,y) Plot and Subplots
  • Knowledge Check
  • Types of Plots
  • Web Scraping and Parsing
  • Knowledge Check
  • Understanding and Searching the Tree
  • Navigating options
  • Navigating a Tree
  • Knowledge Check
  • Modifying the Tree
  • Parsing and Printing the Document
  • Web Scraping
  • Why Big Data Solutions are Provided for Python
  • Python Integration with HDFS using Hadoop Streaming
  • Using Hadoop Streaming for Calculating Word
  • Knowledge Check
  • Python Integration with Spark using PySpark
  • Using PySpark to Determine Word Count
  • Knowledge Check
  • Determine the wordcount

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