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Data Science With Python

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1. The Data Science: An Overview

  • Introduction to the Data Science
  • Different Sectors Using Data Science
  • The Purpose and Components of Python

2. Data Analytics Overview

  • The Data Analytics Process
  • Exploratory the Data Analysis (EDA)
  • EDA-Quantitative Technique
  • EDA - Graphical Technique
  • The Data Analytics Conclusion or Predictions
  • The Data Analytics Communication
  • The Data Types for Plotting

3. Statistical Analysis and Business Applications

  • Introduction to the Statistics
  • About Statistical and Non-statistical Analysis
  • The Major Categories of Statistics
  • About the Statistical Analysis Considerations
  • The Population and Sample
  • What is the Statistical Analysis Process?
  • The Data Distribution
  • Dispersion

4. Python Environment Setup and Essentials

  • About the Anaconda
  • The Installation of Anaconda Python Distribution
  • Data Types in the Python
  • Basic Operators and Functions

5. What is Mathematical Computing with Python (NumPy)?

  • An Introduction to the Numpy
  • The Activity-Sequence it Right
  • Class and Attributes of ndarray
  • All About the Basic Operations
  • Activity-Slice It
  • Copy and Views
  • About the Mathematical Functions of Numpy

6. The Scientific computing with Python (Scipy)

  • Introduction to the SciPy
  • About the SciPy Sub Package - Integration and Optimization
  • What is SciPy sub package?
  • Know About the SciPy Sub Package - Statistics, Weave and IO

7. The Data Manipulation with Pandas

  • Introduction to the Pandas
  • Understanding DataFrame
  • The Missing Values
  • The Data Operations
  • About File Read and the Write Support
  • What is Pandas Sql Operation?

8 . The Natural Language Processing with Scikit Learn

  • NLP: An Overview
  • What are NLP Applications?
  • About NLP Libraries-Scikit
  • The Extraction Considerations
  • The Scikit Learn-Model Training and Grid Search

9. The Data Visualization in Python using matplotlib

  • Introduction to the Data Visualization
  • What are Line Properties?
  • (x,y) Plot and Subplots
  • The Types of Plots

10. Web Scraping with BeautifulSoup

  • Web Scraping and Parsing
  • Understanding and Searching the Tree
  • Know the Navigating options
  • Know About Modifying the Tree
  • How to Parse and Print the Document?

11. Python integration with Hadoop MapReduce and Spark

  • Know Why Big Data Solutions are provided for Python?
  • Describing Hadoop Core Components
  • The Python Integration with HDFS using Hadoop Streaming
  • The Python Integration with Spark using PySpark

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