KAKTI

Python & Data Science

Become a Python Developer

Python & Data Science Course in Lahore, Pakistan

• Course Duration: 2 Months
• Days: 3 days a week
• Hours: 1.5
• Status: Online & On-Campus
• WhatsApp: 0302 895 7000
• Website: www.kakti.pk
• Address: 116-P, MM Alam Road, Mini Market, Gulberg II, Lahore
• Google Map: https://bit.ly/3WIQSQN

Course Outline

WHAT YOU’LL LEARN

Python & Data Science Course Content

Python, Data Science & Data Visualization

  • Introduction to Python Programming Language
  • Different Popular Python Usages
  • Data Analysis & Visualization
  • WHAT YOU’LL LEARNWeb & API Development with

Django and Flask

  • Software & Desktop Apps Development
  • Task Automation
  • Artificial Intelligence, Machine Learning AI/ML
  • Internet of Things IoT
  • Python 3x Setup & Installation
  • Python Programming in Windows Command Prompt
  • Basic DOS Commands
  • Python Console using python & ipython commands
  • Writing Code in Python Console
  • Functions print() & quit()
  • Writing Code in Python .py File using VS Code Editor
  • Run .py Code File
  • Python Package Manager PIP Install and Import Packages
  • Introduction to Anaconda 3x Data Science Platform 
  • What Anaconda Offers 
  • Anaconda Package Manager Conda Install and Import

Packages 

  • PIP vs Conda 
  • Install Packages by Reading a File pip/conda install -req.txt 
  • Anaconda Prompt Console 
  • Anaconda Offers In-Memory Environments 
  • Benefits of Isolated OS Independent Environments 
  • Create, List, Activate, Deactivate, Remove Environments 
  • Jupyter Notebook Web Interface & Its Benefits 
  • Create and Use .ipynb File 
  • Variables & Data Types in Python 
  • Global vs Local Variables 
  • Global Variables Outside a Function Use Anywhere 
  • Local Variables Inside a Function Use Within Function 
  • Implicit vs Explicit 
  • Text : str 
  • Numeric : int, float, complex 
  • Sequence : list, tuple, range 
  • Mapping Dictionary : dict 
  • Set : set, frozenset 
  • Boolean : bool 
  • Binary : bytes, bytearray, memoryview 
  • Setting Data Type Implicitly assign value to a variable 
  • Setting Data Type Explicitly use constructor functions str(),

int(), float(), complex(), list(), tuple(), range(), dict()

  • set(), frozenset(), bool(), bytes(), bytearray(),

memoryview()  

  • Getting Data Type print(type(x)) 
  • Basic Data Storage Structures 
  • Variable for Single Value, Arrays/Collections for Multiple

Values 

  • Lists vs Tuples 
  • Tuples Values must be Unique and Constant cannot be

modified  

  • Python uses Indentation to Indicate a Block of Code 
  • Spaces as You Want but atleast one, Once defined have to

follow 

  • Tab is Best for Indentation 
  • Comments in Python using Hash # 
  • String Literal as Multiline Comment “”” Comment Inside“”” 
  • Boolean and Comparison Operators 
  • Logical Operators 
  • Arithmetic Operators 
  • Assignment Operators 
  • Identity Operators 
  • Membership Operators 
  • Bitwise Operators 
  • Conditional Statements If Else and Elif
  • For and While Loops in Python 
  • Python Normal Functions and Anonymous/Lambda

Functions 

  • Python JSON (JavaScript Object Notation) 
  • Exception Handling, RegEx 
  • Python Classes and Objects 
  • Inheritance in Python 
  • Python User Input, Dates and String Formatting 
  • Python Modules and

Scope                                                                                                                                   

 

  • Python Iterators 
  • Python File Handling Read, Write/Create, Delete Files 
  • A Introduction to NumPy, Pandas, Plotly & Dash Packages 
  • Dictionary Standard Advanced Multiple Values Storage

Structure 

  • DataFrames Pandas Advanced Multiple Values Storage

Structure 

  • Concept of Objects and Composed Objects 
  • Arrays & DataFrames as Objects 
  • Arrays & DataFrames Helper Functions 
  • Attached as Composed Objects to Main Object 
  • NumPy Numerical Python Crash Course 
  • NumPy used for Working with Arrays 
  • Play with Numbers Fast as Compared to Raw Python

Functions

  • NaN (not a number), INF (infinity) 
  • Statistical Operations 
  • Shape, Reshape, Ravel, Flatten 
  • array, arrange, zeros, ones, linspace 
  • Sequence, Repetitions and Random Numbers 
  • Random Arrays randint, seed NumPy Random Package 
  • randint().min() .max() .mean() .argmax() .argmin()

.reshape() 

  • Indexing & Masking 
  • Find Value by Indexing & Conditional Filters to Grab

Elements 

  • Where 
  • File Read and Write 
  • Concatenate and Sorting 
  • Working with Dates 
  • Pandas Advanced Data Manipulation Package Crash

Course 

  • DataFrame and Series 
  • File Reading and Writing 
  • Import Pandas, Fetch DataSets in CSV File 
  • Functions read_csv(), head() First 5 Rows, tail() Last 5

Rows 

  • Info, Shape, Duplicated and Drop 
  • Columns 
  • NaN and Null Values 
  • Imputation, Lambda Functions 
  • Pivoting and Unpivoting Columns of DataSets 
  • Reshape and Clean Data in Jupyter Notebook Better

Approach 

Project 1 – COVID-19 Analytical Dashboard
Project 2 – Stock Exchange Analysis & Visualize
Project 3 – Sales Dashboard
Project 4 – Real-Time Dashboard & KPI
Project 5 – Deploy Dash App on Heroku Cloud

Why Choose KAKTI Course:

Our Flagship Offers  
    • Fundamentals of Python Programming Language 
    • Data Visualization and Analysis in Python 
    • Anaconda, NumPy, Pandas, Plotly and Dash   
    • Total 4 Data Analysis and Visualization Projects  
    • 3 Projects are Using Stored DataSets 
    • 1 Project is Real-Time 
    • Covid-19, Sales and Stocks Analytical Dashboards 
    • Deploy Dash App on Heroku Cloud

We are offering short courses of Information Technology, social media management and many others for deserving students taught by experienced instructors to contribute towards the betterment of our society.

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