Data Analytics & Visualisation with Python Course in Pune

Duration of course: 50 hrs

Best Blended Syllabus for Data Analytics & Visualization With Python in Pune by a 100% Placement-Oriented Training Institute

The Data Analytics & Visualisation with Python training classroom is inclined towards hands-on practice to give students Python-related relevant skills to get control over all the aspects of python programming, Data Analytics & Visualisation using Python.

The Data Analytics & Visualisation using Python certification course is designed for a wide range of learners and is structured, keeping up with all the requirements, expectations, and standards of the industry.

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Data Analytics & Visualization With Python Course​

Best Blended Syllabus for Data Analytics & Visualization Training in Pune by a 100% Placement-Oriented Training Institute

  • What is Python and brief history
  • Why Python and who use Python
  • Discussion on Python 2 and 3 Unique features of Python
  • Discussion on various IDE’s
  • Demonstration of practical use cases
  • Python use cases using data analysis

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  • Installing python
  • Setting up Python environment for development
  • Installation of Jupyter Notebook
  • How to access our course material using Jupyter
  • Write your first program in python

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  • Python built-in functions
  • Number objects and operations
  • Variable assignment and keywords String objects and operations
  • Print formatting with strings
  • List objects and operations
  • Tuple objects and operations
  • Dictionary objects and operations
  • Sets and Boolean
  • Object and data structures assessment test

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  • Introduction to Python statements
  • If, elif and else statements
  • Comparison operators
  • Chained comparison operators
  • What are loops
  • For loops
  • While loops
  • Useful operators
  • List comprehensions
  • Statement assessment test
  • Game challenge

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  • Methods
  • What are various types of functions
  • Creating and calling user defined functions
  • Function practice exercises
  • Lambda Expressions
  • Map and filter
  • Nested statements and scope
  • Args and kwargs
  • Functions and methods assignment
  • Milestone Project (Making tic-tac-toe in python)

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  • Process files using python
  • Read/write and append file object
  • File functions
  • File pointer and operations
  • Introduction to error handling
  • Try, except and finally
  • Python standard exceptions
  • User defined exceptions
  • Unit testing
  • File and exceptions assignment

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  • Python inbuilt modules
  • Creating UDM-User defined modules
  • Passing command line arguments
  • Writing packages
  • name and main

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  • Object oriented features
  • Implement object oriented with Python
  • Creating classes and objects
  • Creating class attributes
  • Creating methods in a class
  • Inheritance
  • Polymorphism
  • Special methods for class
  • Assignment - Creating a python script to replicate deposits and withdrawals in a bank with appropriate classes and UDFs.

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  • Collections module
  • Datetime
  • Python debugger
  • Timing your code
  • Regular expressions
  • StringIO
  • Python decorators
  • Python generators

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  • Install packages on python
  • Introduction to pip, easy_install
  • Multithreading
  • Multiprocessing

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  • REST principles
  • Creating application endpoints
  • Implementing endpoints
  • Using Postman for API testing

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  • CRUD operations on database.
  • REST principles and connectivity to databases.
  • Creating a web development API for login register and connecting it to database.
  • Deploy the API on local server.

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  • Data Analysis using Numpy and Pandas
  • Data Visualization using Matplotlib and Seaborn
  • Dealing with missing values, NaN values
  • Standard scaler
  • Correlation-based processing
  • Divide data in test and train splits to supply to machine-learning algorithms
  • Time series analysis

Reshaping Data:

  • Data Manipulation as per requirement
  • Derive columns based on rules
  • Filtering data
  • Compression and decompression techniques

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  • Introduction to data analysis
  • Why Data analysis?
  • Data analysis and Artificial intelligence bridge
  • Introduction to Data Analysis libraries
  • Data analysis introduction assignment challenge
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  • Introduction to Numpy arrays
  • Creating and applying functions
  • Numpy Indexing and selection
  • Numpy Operations
  • Exercise and assignment challenge

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  • Pandas series
  • Introduction to DataFrames
  • Missing data
  • Groupby
  • Merging, joining and Concatenating
  • Operations
  • Data Input and Output
  • Pandas in depth coding exercises
  • POC - Analysis of e-commerce dataset using pandas
  • POC - Getting insights on employee salaries data using data analysis in python

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  • Plotting using Matplotlib
  • Plotting Numpy arrays
  • Plotting using object-oriented approach
  • Subplots using matplotlib
  • Matplotlib attributes and functions
  • Matplotlib exercises
  • Seaborn visualization
  • Categorical Plot using Seaborn
  • Distributional plots using Seaborn
  • Matrix plots
  • Grids
  • Seaborn exercises
  • Project - Getting insights using python analysis and visualizations on finance credit score data. Pandas built-in data visualization
  • Data visualization assignment

Capstone Project

Python and Web based Project Development

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Data Analytics & Visualization Training Completion Certificate​

To obtain the Data Analytics & Visualisation using Python Training Certification, you have to fulfill the following criteria:

  • Complete the Data Analytics & Visualisation using Python training course (online/classroom) syllabus.
  • You can attend multiple batches of the same trainer & complete the course training.
  • Completion of all assignments & final project.
  • When you successfully complete the course, you will get a course completion certificate with a unique identification number from Technogeeks.


Batches Completed

Industry Oriented Syllabus

Designed By Expert


Happy Students

Self Assessments

Quizzes, POC


8+ Years Of Experience

Recorded Sessions

1 Year Of Access

Data Analytics & Visualization Training Completion Certificate


Course Benefits​

  • Pay only after Attending one FREE TRIAL OF RECORDED LESSON.
  • No prerequisite.
  • Course designed for non-IT as well as IT professionals.
  • Flexible batch switch is available.
  • Classroom & Online Training – Can switch from online training to classroom training with nominal fee.
  • 100% placement calls guaranteed till you get placed.
  • Working professional as instructor.
  • Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor.
  • Hands-on Experience with Real-Time Projects.
  • Resume Building & Mock Interviews.
  • Evaluation after each Topic completion.


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About Course

Core Python

  • Syntax & Numerical Operators
  • Data Types
  • Control Flow
  • Loops
  • OOP
  • Collections
  • Regular Expression (Regex)
  • File Handling
  • Exception Handling
  • SQL integration
  • SQLite Database

API Design Using Flask


  • Numpy, Pandas, Excel, CSV, JSON handling using a data frame.

Visualization with Python Libraries

  • Matplotlib
  • Seaborn


  • Batches Completed – 300+
  • Course Duration : 50 Hours
  • Assignments with 2 Real Time Projects
  • Assignment Duration : 30 hours

Training Projects​

  • Getting insights using python analysis and visualizations on finance credit score data.
  • Pandas built-in data visualizations

Data visualization assignment

  • Capstone Project : Python and Web based Project Development



Yes, you can attend demo session before you enroll either we can provide you the recorded lecture so that you can watch it as per your schedule or you can attend live demo lecture either online or offline


Yes, we do provide the placement assistance in which how we work on real time projects will be taught,resume preparation and Job openings will also be provided.More than 80% of candidates have changed their profile by getting either promotion or getting new job offers on good package.

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If you miss classes, you can get recording sessions of the lectures.

Testimonial Review​

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