Data Science with Python Course Syllabus

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Our Data Science with Python Course Syllabus teaches fundamental concepts and tools for data analysis and machine learning with Python. It begins with Python programming basics and their application in data science. The syllabus covers data manipulation and cleaning using NumPy and Pandas, exploratory data analysis (EDA) techniques, and data visualization with Matplotlib and Seaborn.

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60-100 Practical Assignments

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May 2024

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4 Hours Real Time Interactive Technical Training

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Syllabus for The Data Science with Python Course

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Python – Overview

1

A brief history of python
Application and trends in python
Available python versions

Python – Environment Setup

2

Getting and installing python
Environmental variables and idle
Executing python from command line

Fundamentals

3

I/o
Naming conventions
Datatypes:
Numbers
String
List
Tuple
Dictionary
Set

Python Operators

4

List, Tuple, Dictionary, Set Methods
Statements: If, elif, Break, Continue
Loops: For loop, while loop
Functions

Oops Concepts:

5

Class and objects
Getters and setters
Properties
Inheritance
Polymorphism
Special Functions of Python: Lambda, Map, Reduce, Filter

Modules in Python:

6

Math
Arrow
Geopy
Beautiful soup
Numpy
Sys
Os

Multithreading:

7

Introducing threads and life cycles
Priorities
Dead Locks

Exceptional Handling

8

Errors
Runtime errors
Exceptional model
Exceptional hierarchy
Handling multiple exception
Raise exceptions

File Handling

9

Text files
Csv files

Regular Expressions

10

Simple character matches
Flags, quantifers, greedy matches
Grouping and matching objects
Matching at beginning or end
Substituting and splitting a string
Compiling regular expressions

Gui Interfacing: Tkinter

11

Widgets
Integrated application
Mysql/with application
Converting .exe

Datascience Modules:

12

pandas
numpy
scipy
matplotlib

Python Data Processing

13

Python Data Operations
Python Data cleansing
Python Processing CSV Data
Python Processing JSON Data
Python Processing XLS Data
Python Relational databases
Python NoSQL Databases
Python Date and Time
Python Data Wrangling
Python Data Aggregation
Python Reading HTML Pages
Python Processing Unstructured Data
Python word tokenization
Python Stemming and Lemmatization

Python Data Visualization

14

Python Chart Properties
Python Chart Styling
Python Box Plots
Python Heat Maps
Python Scatter Plots
Python Bubble Charts
Python 3D Charts
Python Time Series
Python Geographical Data
Python Graph Data

Statistical Data Analysis

15

Python Measuring Central Tendency
Python Measuring Variance
Python Normal Distribution
Python Binomial Distribution
Python Poisson Distribution
Python Bernoulli Distribution
Python P-Value
Python Correlation
Python Chi-square Test
Python Linear Regression

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