Data Science with Python Course Syllabus

The syllabus for Data science with python is drafted in a comprehensive manner. It is prepared keeping in mind the career requirements of the candidate. It is updated regularly.

Fundamental Python Syllabus

Python – Overview

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

Python – Environment Setup

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

Fundamentals

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

Python Operators

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

Python Operators

List, Tuple, Dictionary, Set Methods

Statements: If, elif, Break, Continue

Loops: For Loop, While Loop

Functions

Oops Concepts:

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

Modules in Python:

• Math
• Arrow
• Geopy
• Beautiful soup
• Numpy
• Sys
• Os

Multithreading:

• Introducing threads and life cycles
• Priorities
• Dead Locks

Exceptional Handling

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

File Handling

• Text files
• Csv files

Regular Expressions

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

Generators

Iterators

Decorators

Closures

Gui Interfacing: Tkinter

• Widgets
• Integrated application
• Mysql/with application
• Converting .exe

Project 1:  Loops, oops concepts, threading

Analytical Python Syllabus

Introduction

Datascience Modules:

• pandas
• numpy
• scipy
• matplotlib

Python Data Processing

• 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

• 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

• 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

Project 2: Tkinter-Gui

Download Datascience with Python Course Syllabus

Why learn Data Science with Python from Softlogic

Python is a multipurpose programming language that can be regarded as a major element in the coding world. This is because it supports structured programming, Object-oriented programming and functional programming patterns. The resourcefulness of Python makes it the appropriate language for the data scientists.

• Python is a robust open source programming language, which implies that it’s free to use while consisting of all the properties that a programming language should possess.
• Python has over 7200 libraries in the Python Package Index that assist in scientific calculations and machine learning applications.
• Python has an easy to comprehend and readable syntax that ascertains that the development time is cut into half.
• Python lets you to carry out data evaluation, data manipulation, and data visualization, which are very essential to data science.
• Because of the extensibility and general purpose nature, it is suggested to learn Python, that too from the Best Data Science Training in Chennai.

Data Science with Python Career Opportunities

As the role of data scientist is growing in leaps and bounds, it becomes more essential than ever to be abreast with today’s most in-demand data science skills. Python is at present among the rapidly growing programming languages in the world, mainly because of the simple learning curve and the explosion of data science in it.

The increasing swing in Data Science job opportunities is expected to be present for a long time. As data dominates our lives and organizations try to make sense of the data generated, skilled data scientists are the need of the hour. So if you want to join in a top company as a data scientist with the much-in-demand skill as Python then it’s a wise decision to enroll in the top Data Science with Python Training Institute in Chennai.. Upskill yourself with skills in Data Science with Python to take advantage of the job opportunities that come along your way.

Scope of data science with Python

The scope is very wide with respect to data science with Python. Python has gained immense popularity over the past few years because it is a general-purpose language and it is generally regarded as a simple language for beginners. Even web developers who know Python can add data science to their skills etc. This implies to system administrators too.

Everyone is using Python, whether it is a big or small company, or financial institution or big data startup. Python is amazing when you want to work on machine learning and when you are just beginning with data science. Python is getting increased adoption in numerical computations, data science applications and machine learning.

Python for data science needs data scientists to learn the application of regular expressions, start working with the scientific libraries and ace the data visualization concepts. Moreover, Python is a powerful language where a programmer can write the code once and execute it without the need of a separate compiler. This leads to the convenient factor of Python.