Data Science with Python

Data science with Python refers to the application of Python programming language and associated libraries and tools to analyze, visualize, and extract insights from data.

Request more info

6 Weeks 6-8 hours a week

Instructors Gopal Kisi

Paid Best Option

These are the available classes:

Data Science with Python

Started on: Dec 03, 2023

Ended on: Jan 26, 2024

About this Course

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data.

This data science with Python tutorial will help you learn the basics of Python along with different steps of data science according to the need of 2023 such as data preprocessing, data visualization, statistics, making machine learning models, and much more with the help of detailed and well-explained examples. This tutorial will help both beginners as well as some trained professionals in mastering data science with Python.

What you’ll learn?

Python Programming
Data Manipulation and Analysis
Data Visualization
Statistical Analysis
Machine Learning
Deep Learning
Data Wrangling and Feature Engineering

Course curriculum

Introduction to Programming
Introduction to Python and How Python Works
Introduction to Python Basic Course Structure
How to install Python
How to run Python Program using Command Line Window, IDLE, Notepad
How to install Anaconda and run jupyter notebook for python

Comments, Identifier, Reserved Words and Constant in Python
Variable in Python
Data Type in Python
Declaring and Intializing Variables in Python
Operators in Python
Implicit and Explicit Type Conversion in Python
Output Statement or Print Function in Python
Getting input from user or Input Statement or input Function in Python
Escape Sequence in Python

If Statement in Python
Nested if Statement in Python
if Statement with Logical Operator in Python
Indentation in Python
if else Statement in Python
Nested if else Statement in Python
if elif and if elif else Statement in Python

range Function in Python
For Loop and Nested for Loop in Python
Enumerate() in Python with EXAMPLES
While Loop and Nested while Loop in Python
Break, Continue and Pass Statement in Python

String in Python
More on Strings(Access string using loop, repetitation and concatenation in string, mutable and immutable)
String Formatting in Python
String Methods in Python

List in Python
List methods in python
More on Lists (Use loops with list, slicing in list, concatenation, repeatition, aliasing, copying and cloning in list)
Nested List in Python

Tuple and tuple methods in Python
More on Tuple(Use loops with tuple, slicing tuple, concatenation, repeatition, aliasing, copying tuple, getting user input as tuple, modifying and deleting tuple)
Nested Tuple in Python

Set Type in Python
Set methods in Python
Nested Set in Python – FrozenSet

Dictionary in Python
Dictionary methods in Python
More on Dictionary (Loop in Dictionary, Getting Dictionary input from user)
Nested Dictionary in Python

Function and How Function Work in Python
Arguments and its types in Python
Local and Global Variable in Python
global Keyword and function in Python
Passing and returning List, Tuple, Set, Dictionary in Function
Recursion in Python
Anonymous Function or Lambda Expression in Python
Function Decorator in Python

Ternary if
List, Tuple, Set and Dictionary Comprehension in Python
Nested Comprehension in Python

Generator Function Yield Statement and Next Function in Python
Type and isinstance Function in Python
Len,min,max and sorted Function
Zip method
Filter, map Function in Python
Tips and Tricks in Python
Getting Help in Python

Class and Object in Python
Constructor in Python
Inheritance in Python
Constructor in Inheritance
Method Overloading, Overriding and Method with super in Python
Special (Magic/Dunder) Methods

Exception Handling and Builtin Exception in Python
User Defined Exception in Python
Difference between Error and Exception and Warning in Python

Installing VSCode and coding in VSCode
Debugging in VSCode
Introduction to Virtual Environments
Using conda and virtual environments with VSCode

Module in Python, Math module in python
Datetime Class in Python
Random, sleep in Python
Functools(Reduce and Memoization), getpass(getpass and getuser) and sys Module
if __name__ == “__main__”

What is File and File Handling in Python
Reading Files in Python
Write Create Files in Python

What is git/ What is Version control system?
What is Github?
How To Insatll Git
Basic Commands: add, commit, push
Undoing/Reverting/Resetting code changes
Branches (Create, Merge, Delete)
What is HEAD?
.gitignore file
Diff and Merge using vscode
What is Pull Request?
Brief intro to working with git, github with help of vscode and github desktop

Introduction to Libraries
Introduction to Web Scrapping – Beautiful Soup
Project 1 – Web scraping table from wikipedia
PyQt Tutorial: Python GUI Designer
Project 2 – Making a simple calculator
Image Manipulation with Pillow
Project 3 – Adding logo into Multiple images at once.

Data on the Web
eXtensible Markup Language(XML)
XML Schema
Parsing XML

JSON Introduction
Encoding JSON Python Objects
Decoding JSON Python Objects

Connecting to a server
A simple server-client program

What is Database?
Connect to Database in Python
Create a Table
Insert Record into Table
Query and Fetchall
Use the Where Clause

Course Introduction
Classroom and Chat media Setup and Overview
Jupyter Notebook and Other required Media installation.
Introduction to Data Science

Numpy Array Creation
Numpy Indexing
Numpy Array Operation
Numpy Problem
Numpy Quiz
Numpy Practical Application
Numpy Exercise

Creating and Customizing Our First Plots
Bar Charts and Analyzing Data from CSVs
Pie Charts
Stack Plots
Filling Area on Line Plots
Histograms
Scatter Plots
Plotting Time Series Data
Plotting Live Data in Real-Time
SubPlots

Installing Seaborn
Histograms
Kernel Density Estimate Plots
Combining Plot Styles
Box and Violin Plots
Regression Plots
Heatmaps and Clustered Matrices

Data Projects Preview
Titanic Project

What is Plotly?
Installation
Line Plots
Bar Charts
Scatter Plot
Pie Charts
Histograms
Box Plots
Violin Plot
Density Heatmap
3D Scatter Plots
3D Line Plots
Scatter Matrix
Map Scatter Plots
Choropleth Maps
Polar Chart
Ternary Plot
Facets
Animated Plots

Introduction to Machine Learning with Scikit Learn
Linear Regression
Linear Regression – Multivariate
Logistic Regression
Gradient Descent
Save Trained Model
One Hot Encoding
Train Test Split
Logistic Regression
Logistic Regression – MultiClass
Decision Tree
Support Vector Machines
Random Forest
K Fold Cross Validation
K Means
Naive Bayes
GridSearch
Regularization
KNN Classification
PCA
Bias VS Variance
Bagging

Logarithm
MAD and STD
Normal Distribution and Z Score
Mean, Median, Mode, Percentile and Quantile
Descriptive VS Inferential Statistics
Log Normal Distribution
Sin, Cos, Tan
Cosine Similarity
Hypothesis Testing

What is EDA?
2D, 3D plots and Findings
Probability Density Function and KDE
Calculate Cummulative Distribution Function
Use of Mean, Variance, Standard Deviation
Use of Median, Percentile, Quantile, IQR, MAD
Box plot and Whiskers median, quantile, IQR
Violin plots and why we use it
Summarizing plots in english
Univariate, Bivariate and Multivariate Analysis
Multivariate probability density, contour plot
Exercise

Optimizing Agricultural Production

What’s Next after Data Science Basic

About the instructors

Gopal Kisi image

Gopal Kisi

Get more information

Want to know more? Enter your information to learn more about this course.