Learn Data science Programming with Online Courses, Classes, & Lessons

Course Syllabus

In this Introduction, you will learn what will be taught in this course and benifits of this course.

What is Programming?
What is Coding?
Python Library
Python Modules
Python Webframework
Flavours of Python
What can Python do?
Why Python?
Python Syntax compared to other programming languages
Python Installation

The print statement
Comments
Python Data Structures & Data Types
String Operations in Python
Python keywords
Python Variables
Python Type Conversions
Simple Input & Output

Arithmetic operators
Assignment operators
Comparison operators &Logical operators
Identity operators
Membership operators & Output
Simple Output Formatting

Indentation
The If statement and its’ related statement
An example with if and it’s related statement
Else
Nested If
Short Hand If
Short Hand If else & Continue
Examples for Conditional Statements

Indentation
The for statement and its’ related statement
An example with for and it’s related statement
While
Nested for
Nested While
Examples for Looping Statements

Indentation
The Break statement and its’ related statement
An example with Break and it’s related statement
Continue
Pass

Examples for Jumping Statements

String object basics
String methods
Splitting and Joining strings
String format functions

List object basics
List methods
List as Stack and Queues
List comprehensions

Introduction to Tuples
Tuples with built-in functions
Tuple operations

Introduction to Sets
Sets with built-in functions
Set Operations
Set with functions

Introduction to Dictionary
Dictionary with built-in functions
Dictionary with functions

Defining a function
Calling a function
return statement
Difference between return and print
Arguments
Parameters
Keyword arguments
Arbitrary argument
User defined functions
Nested functions
Functions with real time examples

Introduction to Classes
- Creation of Classes
- Real time examples of Classes
Creation of Objects
init
self keyword
super keyword
Inheritance
Types of Inheritance:
- Single Inheritance.
- Multiple Inheritance.
- Multi-Level Inheritance.
- Hierarchical Inheritance.
Polymorphism:
- Method overloading
- Method overriding
Encapsulation
- Private
- Public
- Protected
Data Abstraction
- Abc class
- Abstract method
- Realtime example of Data Abstraction

Introduction to File Handling
File modes
with keyword
Working with files
Reading and writing files
Buffered read and write
Other File methods

Using standard module
Creating new modules
Exceptions Handling with Try-except
Creating, inserting and retrieving table
Updating and deleting the data

Introduction to Numpy
Numpy Installation
NumPy – Ndarray Object
NumPy – Data Types
NumPy – Array Attributes
NumPy – Array Creation Routines
NumPy – Array from Existing Data
Array From Numerical Ranges
NumPy – Indexing & Slicing
NumPy – Advanced Indexing
NumPy – Broadcasting
NumPy – Iterating Over Array
NumPy – Array Manipulation
NumPy – Binary Operators
NumPy – String Functions
NumPy – Mathematical Functions
NumPy – Arithmetic Operations
NumPy – Statistical Functions
Sort, Search & Counting Functions
NumPy – Byte Swapping
NumPy – Copies & Views
NumPy – Matrix Library
NumPy – Linear Algebra

Introduction to Pandas
Pandas Installation
Python Pandas – Series
Python Pandas – DataFrame
Python Pandas – Panel
Python Pandas – Basic Functionality
Descriptive Statistics
Function Application
Python Pandas – Reindexing
Python Pandas – Iteration
Python Pandas – Sorting
Working with Text Data
Options & Customization
Indexing & Selecting Data
Statistical Functions
Python Pandas – Window Functions
Python Pandas – Date Functionality
Python Pandas – Timedelta
Python Pandas – Categorical Data
Python Pandas – Visualization
Python Pandas – IO Tools

Matplotlib

PowerBI Introduction
PowerBI Installation
PowerBI Query Editor
- Introduction to PowerBI Query
- Load
- Transform
- Extract
- Data types and Filters in PowerBI Query
- Inbuilt Column Transformations
- In built Row Transformations
PowerBI Pivot table
Report
Table
Models
Visualization Charts
Fields
Analysis of Data
Creating Dashboards
Running Python Scripts
Projects:
- Data Visualization using PowerBI with Realtime Data sets

What is Multi Threading
Multi Threading vs Multi Processing
Thread class
Thread Life Cycle
Methods of Multi Threading in Python
Examples of MultiThreading

What is Web Scraping?
What is Beautifull Soap?
Request Module
Json Module
Saving Scraped Data

Split
Working with special characters, date, emails
Quantifiers
Match and find all
character sequence and substitute
Search method

what is Django?
PIP
Django installations
Django Creating Project
Django Creating application
Django Commands
Django settings.py
Django Views.py
Django urls.py
Django Templates
Django Models
Django Migrations
Blog Project using Django

Github Introduction
Account creation
Github Repository
Pushing Projects
Pulling Projects
ReadME File
Git Introduction
Git Installation
Git Clone
Git Status
Git Add
Git Commit
Git Push
Git Pull
Git vs Github

Descriptive and inferential Statistics
Sampling Methods
Types of Variables
Independent and dependent variables
Variable Measurement Scales
Frequency Distribution and Cumulative Frequency Distribution
Bar Graphs and Pie Charts
Histograms and stem & leaf plots
Arithmetic Mean for samples and populations
Central Tendency
Variance and Standard deviation for Population and sample
Percentiles and Quartiles
Inter Quartile Ranges and Box Plots
Outliers in data
Skewness for the data
The normal curves
Z-scores and z-test for the data

Basics of probability
Addition Rule
Multiplication Rule
Permutations
Combination
Discrete and Continuous Random Variables
Discrete probability distribution
Probability Histogram
Mean and Expected values of discrete random variables
Variance and standard deviation of discrete random variables

Binomial distribution
Normal distribution
Quadrants
Pearsons correlation
Hypothesis testing with Pearson’s r
Spearman correlation
Central Limit theorem
Sample proportions
Confidence intervals about the mean, population, standard deviation
NULL and alternative Hypotheses
Type I and Type II Errors
One-Tailed and Two-Tailed Tests

What is Data?
Difference between CPU and GPU
Parallel and sequence processors
How data will be arranged in the axis
Types of machine learnings
What is classification?
What is regression?
What is clustering?
Performance metrics
What are errors?
What are all the libraries in Machine Learning?
Knowing about Tensorflow, Keras, Scikit-Learn, etc.
Explorative Data Analysis
Bias and variance

Linear Regression Maths
Linear Regression building from scratch without libraries
Linear Regression Building with Libraries (Scikit Learn)
Maths for the Mean Squared Error, Squared Error, Absolute Squared Error.
Writing Code from scratch for Mean Squared error
Writing Code from scratch for Squared error
Writing Code from scratch for absolute Squared error
Logistic Regression Maths
Logistic Regression building from scratch without libraries
Logistic Regression Building with Libraries (Scikit Learn)
Maths for the Accuracy, Precision, Recall, F1-Score
Writing Code from scratch for Accuracy
Writing Code from scratch for Precision
Writing Code from scratch for Recall
Writing Code from scratch for F1-Score
Writing code for all the metrics using sklearn (MSE, SE, Accuracy, Precision, etc..)

Decision Tree Maths
- Gini
- Entropy
Building Decision Tree classifier using python
Random Forest Maths
Building Random Forest Maths
KNN classifier
KNN using python
SVM with maths
SVM building by using python
Voting classifier Maths
- Harding Voting
- Soft Voting
Building voting classifier with python
Bagging classifier with maths
Bagging classifier building with python
Ridge Regression with maths
Ridge Regression building with python
Lasso Regression with maths
Lasso Regression building with python
SVR with maths
SVR building with python
Decision Tree Regressor with Maths
Decision Tree with python

What is Perceptron?
Neurons in humans and AI?
What is a single layers perceptron?
Neural Networks
Hidden Layers
Weights and bias
Neural networks maths behind it
Tensorflow and Keras introduction
Building neural networks with TensorFlow
Activation functions
Gradient descent algorithms
Feedforward network
Backpropagation
Error and accuracy

CNN introduction
Convolutions introduction in humans and AI
Padding in CNN
Strides in CNN
Max pooling in CNN
Average pooling in CNN
Kernels
Features
Math behind CNN
Building CNN with TensorFlow and Keras
Training and Testing it

What is Corpus?
What are Tokens?
What are Engrams?
What is Tokenization?
- What is White-space Tokenization?
- What is Regular Expression Tokenization?
What is Normalization?
- What is Stemming?
- What is Lemmatization?
Part of Speech tags in NLP
Building NLP model with SVM
Maths behind RNN and LSTM
Working with RNN
Working with LSTM

MySQL Get Started
My SQL Installation
My SQL Work Bench
Data Defination Language
Data Manipulatioon Language
Data Control Language
Data Transaction Language
My SQL Connection With Python
MySQL Create Database
MySQL Create Table
MySQL Insert
MySQL Select
MySQL Where
MySQL Drop Table
MySQL Join

Projects

Railway Tickets Reservation System

The management of booking, timetable, train, station, and fare details is the primary goal of the Python project on railway ticket reservation system. It oversees the management of all customer, fare, and booking information. Only the administrator is assured access because the project is entirely created on the administrative end.

Bank Management System

A straightforward project created with Python is the Simple Banking System project. The project only includes the administrative side. All of the fundamental operations, such as opening a new account, viewing account holders' records, viewing withdrawal and deposit amounts, requesting balance information, etc., are managed by the admin side. gui can be created if necessary.

Super Market Bill Generation

This project will introduce you to a programming task: This software project is a functionally enhanced version of a conventional grocery store billing system. This technology is designed to quickly process data and generate bills for grocery customers. For successful output, this project incorporates all python functions and OOPS ideas. The user may check the shopping products, pricing, and quantities with excessive ease.

Medical Image Analysis

This project will introduce you to a programming task:Detect and classify diseases in medical images (e.g., X-rays, MRIs) using CNNs.

Stock Market Forecasting

This project will introduce you to a programming task: Use time series analysis or recurrent neural networks (RNNs) to predict stock prices or market trends.

News Article Classification

You will handle data from the client their customers are searching for the best Categorize news articles into predefined classes (e.g., sports, politics, entertainment) using natural language processing (NLP) techniques.

What We Provide

Watch Demo Class now in Telugu

Watch our free demo class and experience our teaching in Telugu from our Industry experts.

Frequently Asked Questions

The education offered by Python Life is industrial education. We are known for our course programs. And whatever we teach, it starts from scratch to advanced level. An experienced instructor is available to him 24/7 to clear any doubts.

Yes, all concepts are taught from basic to advanced level and the instructor will check if students understand before moving on to more subjects.

Of course, Python Life trains students according to industry requirements and specifications. We also conduct in-house planning and mock interviews.

There are no eligibility criteria for this course, which is taught from start to finish, so anyone interested in the course can participate.

Yes, you will receive a course completion certificate from Python Life when you submit your project at the end of the course.

Sorry, No refunds.

You can join by paying from our site. Immediately after payment, you will receive a confirmation from us to guide you through the further process.

Yes, all sessions will be recorded and will be provided for the students.

Python Life offers industrial training in emerging technologies like Python, Data Science, Artificial Intelligence, Cyber Security and DevOps in Telugu.

Courses

Quick Links

Full Stack Data Science

Course Introduction

Python Introduction

Integrated Development Environment Installation

Fundamentals of Python

Python Operators

Python Conditional Statements

Python Iterative Statements

Python Jumping Statements

Python Strings

Python Lists

Python Tuples

Python Sets

Python Dictionary

Python Functions

Object-oriented Programming with Python

Python File Handling

Python Modules & Python Exception Handling

Python Numpy (Numerical Python)

Python Pandas for Data Analysis

Data Visualization with Matplotlib

PowerBI

Python Multithreading

Python WebScraping

Regular Expression

Django

Git & GitHub

Fundamentals of Statistics

Probability for Data Science

Advanced Statistics

Machine Learning Introduction

Basics Of Machine Learning

Intermediate Machine Learning

Advanced Machine Learning

Convolutional Neural Network (CNN)

Natural Language Processing (NLP)

Structured query language (SQL)

Railway Tickets Reservation System

Bank Management System

Super Market Bill Generation

Medical Image Analysis

Stock Market Forecasting

News Article Classification

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