Data Science with Python

• Lesson 00-Course Overview

  • • Course Overview

    •  Accessing Practice Lab

• Lesson 01- Data Science Overview

  • • Introduction to Data Science

    •  Different Sectors Using Data Science

    •  Purpose and Components of Python

    •  Quiz

    •  Key Takeaways

• Lesson 02 - Data Analytics Overview

  • • Data Analytics Process

    • Knowledge Check

    •  Exploratory Data Analysis(EDA)

    •  EDA-Quantitative Technique

    •  EDA - Graphical Technique

    •  Data Analytics Conclusion or Predictions

    • 2.007 Data Analytics Communication

    •  Data Types for Plotting

    • 2.009 Data Types and Plotting

    •  Quiz

    • Key Takeaways

    • 2.10 Knowledge Check

• Lesson 03 - Statistical Analysis and Business Application

  • • 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

    •  Quiz

    • Key Takeaways

• Lesson 04 - Python Environment Setup and essential

  • • Anaconda

    • Installation of Anaconda Python Distribution (contd.)

    •  Data Types with Python

    • Basic Operators and Functions

    •  Quiz

    • Key Takeaways

• Lesson 05 - Mathematical Computing with Python (NumPy)

  • • Introduction to Numpy

    • Activity-Sequence it Right

    • Demo 01-Creating and Printing an ndarray

    • Knowledge Check

    •  Class and Attributes of ndarray

    •  Basic Operations

    • Activity-Slice It

    •  Copy and Views

    • Mathematical Functions of Numpy

    •  Analyse GDP of Countries

    •  Assignment 01 Demo

    • Analyse London Olympics Dataset

    •  Assignment 02 Demo

    •  Quiz

    • Key Takeaways

• Lesson 06 - Scientific Computing with Python ( Scipy)

  • • Introduction to SciPy

    • SciPy Sub Package - Integration and Optimization

    •  Knowledge Check

    •  SciPy sub package

    • Demo - Calculate Eigenvalues and Eigenvector

    • Knowledge Check

    •  SciPy Sub Package - Statistics, Weave and IO

    •  Solving Linear Algebra problem using SciPy

    • Assignment 01 Demo

    •  Perform CDF and PDF using Scipy

    •  Assignment 02 Demo 

    •  Quiz

    • Key Takeaways

• Lesson 07 - Data Manipulation with Pandas

  • •  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

    • Assignment 01 Demo

    •  Analyse NewYork city fire department Dataset

    •  Assignment 02 Demo

    •  Quiz

    • Key Takeaways

• Lesson 08 - Machine Learning with SciKit- Learn

  • • Machine Learning Approach

    • Steps One and Two

    • Steps Three and Four

    •  How it Works

    •  Steps Five and Six

    •  Supervised Learning Model Consideration

    •  ScikitLearn

    • Knowledge Check

    • Supervised Learning Models - Linear Regression

    • Supervised Learning Models - Logistic Regression

    •  Unsupervised Learning Models

    • Pipeline

    •  Model Persistence and Evaluation

    •  Knowledge Check

    •  Analysing Ad Budgets for different media channels

    •  Assignment One

    •  Building a model to predict Diabetes

    •  Assignment Two

    • Knowledge Check

    •  Key Takeaways

• Lesson 09 - Natural Language Processing With SciKit Learn

  • •  NLP Overview

    •  Scikit Learn-Model Training and Grid Search

    • Analysing Spam Collection Data

    •  Demo Assignment 01

    •  Sentiment Analysis using NLP

    • Demo Assignment 02

    •  Quiz

    • Key Takeaways

• Lesson 10 - Data Visualization in Python Using Matplotlib

  • • Introduction to Data Visualization

    •  Knowledge Check

    •  Line Properties

    •  (x,y) Plot and Subplots

    •  Knowledge Check

    •  Types of Plots

    •  Draw a pair plot using seaborn library

    •  Assignment 01 Demo

    •  Analysing Cause of Death

    •  Assignment 02 Demo

    •  Quiz

    •  Key Takeaways

• Lesson 11 - Web Scraping with BeautifulSoup

  • • Web Scraping and Parsing

    • Knowledge Check

    •  Understanding and Searching the Tree

    • Navigating options

    •  Demo3 Navigating a Tree

    • Knowledge Check

    • Modifying the Tree

    •  Parsing and Printing the Document

    •  Web Scraping of Simplilearn Website

    • Assignment 01 Demo

    •  Web Scraping of Simplilearn Website Resource page

    • Assignment 02 demo

    •  Quiz

• Lesson 12 - Python Integration with Hadoop MapReduce and Spark

  • • • Why Big Data Solutions are Provided for Python

      •  Hadoop Core Components

      •  Python Integration with HDFS using Hadoop Streaming

      •  Demo 01 - Using Hadoop Streaming for Calculating Word Count

      •  Knowledge Check

      •  Python Integration with Spark using PySpark

      •  Demo 02 - Using PySpark to Determine Word Count

      •  Knowledge Check

      •  Determine the wordcount

      • Assignment 01 Demo

      •  Display all the airports based in New York using PySpark

      •  Assignment 02 Demo

      •  Quiz

      •  Key takeaways