Python Data Science Syllabus

Syllabus: Python Data Science

Total Chapters: Ten (10)                                                 Duration – 90 Days

Fees: 15000 INR

• Introduction
  1. Overview of the data science.
  2. Machine learning and deep learning
  3. Introduction to the data science process
  4. Value, scope, and carrier options in data science
• Background
  1. Python basics
• Jupyter and Numpy
  1. Jupyter notebooks
  2. numpy for data analysis.
  3. numpy useful functions for processing data
  4. Data structures
• Pandas
  1. Pandas
  2. Data frames for critical data analysis
  3. Functionality and features.
• Visualization
  1. Datasets
  2. Visualize your data to gain an understanding
  3. Conclusions about the data
  4. Visualizations to present your results
• Mini Project
  1. With the tools: Jupyter Notebooks, numpy, pandas, and Visualization
  2. Do sophisticated analysis: Pick a dataset and perform an analysis
• Machine Learning:
  1. Basics of machine learning
  2. Use of sci-kit learn for machine learning

Option 1:

• Working with Text and Databases:
  1. Working with text data or data from databases.
  2. Text data analysis
  3. Natural Language Processing
  4. Natural Language Processing Toolkit (NLTK) library.
• Text processing using deep learning
• Final Project

These weeks let you showcase all your skills in an end-to-end data analysis project. You’ll pick the dataset, do the data munging, ask the research questions, visualize the data, draw conclusions, and present your results.

Option 2:

• Working with Images:
  1. Working with image data
  2. Basics of image processing
  3. Image preprocessing and feature extraction
  4. Image processing using machine learning
• Image processing using deep learning
• Final Project:

These weeks let you showcase all your new skills in an end-to-end data analysis project. You’ll pick the dataset, do the data munging, ask the research questions, visualize the data, draw conclusions, and present your results.