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Python & Data Science Course in Lahore, Pakistan

> Python & Data Science Course in Lahore, Pakistan

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

 

Register Now
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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.

Address

  • 116-P Gulberg II, MM Alam Road, Lahore, Pakistan
  • +92 (42)35778636-7
  • info@kakti.pk
  • +92 302 895 7000

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