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Python for Data Science

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Python for Data Science

Data science is a diverse domain used to gain insights from complex data.

Are you ready to jump start your career path to becoming a Data Scientist! 

There are many course available for python,but in this course you get step by step with personal attention on every learner.

In this course we are covering each topic with in-depth with lots of example and different case studies.Once you complete this course you will able to solve complex python problem for data science.

Special offer! Enroll now and get for 499/-Only!

Python for Data Science Course Details

This course has 16 Modules 


Module 1: Why Python

Python is general purpose programming language.Discover why python is so popular for data science.


Module 2: Environment Setup

In this module you will learn 

  • How to install Python
  • Installing  different python packages
  • iPython Setup


Module 3: Introduction of Python Basics

Here you will deep dive in 

  • Keywords and Identifiers
  • Statements, Indentation and Comments
  • Variables and Datatypes
  • Global and Local Variables
  • Input and Output
  • Operators


Module 4: Flow Control

​In this Module you discover 

  • If...else
  • while loop
  • for loop
  • break and continue


Module 5: Data Structure

Learn about Data Structure

  • Lists
  • Tuples
  • Dictionary
  • Strings
  • Sets
  • Format ()
  • Range ()


Module 6: Functions

Learn more about functions

  • Introduction
  • Types of functions
  • Function Arguments
  • Recursive Functions
  • Lambda Functions


Module 7: Classes

Classes are blueprint of  program.Python is object oriented programming language.Lets discover more about classes.

  • What is a class?
  • Creating a Class
  • Creating a object 
  • Constructor


Module 8: Packages

Package is way of structuring python code.We will learn here how to create our own custom packages and use other packages like seaboarn, sklearn etc..

  • Why Package
  • Import Package
  • Selective Package


Module 9: File Handling

Learn How to handle files

  • What is file Handling?
  • Writing to a file
  • Appending to file
  • Reading from a file
  • Delete a file


Module 10: Exception Handling

  • Types of Errors
  • Using Try and Except
  • Raising Exceptions


Module 11: Numpy

  • Introduction
  • Numpy array
  • Indexing and Slicing
  • Statistical Functions
  • Matrix Multiplication
  • Vertical & Horizontal Stacking
  • Maths Operation on array


Module 12: Pandas

  • Introduction
  • Series
  • Create Data frame
  • Reading data from CSVs
  • Reading data from JSON
  • Reading data from a SQL database
  • Data frame to CSV, JSON, or SQL
  • Review top or bottom records
  • Dealing with Missing Values
  • Apply function
  • Data Frame slicing, selecting, extracting


Module 13: Matrix and Data frame

  • Introduction
  • Select Index or Column
  • Add Row or Column
  • Delete Row or Column
  • Rename Row or Column
  • Reshape
  • Dataframe to File


Module 14: Lambda Function

  • Introduction
  • Why Lambda
  • Examples


Module 15: Data Visualization and Matplot

  • Introduction
  • Line Plot
  • Scatter Plot
  • Histogram
  • Pie Chart
  • Bar Chart
  • Word Cloud
  • Selecting best plot
  • Customizing plots
  • Statistical plots with Seaborn


Module 16: Projects

  • Introduction
  • Project 1
  • Project 2

Total duration:   20h

1h Welcome Session, 19h live session

additional materials:   pdf., videos,Python notebook

Free for members 

related courses:   Machine Learning


Online test,Quiz

course rating

Batch Starting

7th July 2020 7 PM. 

100% Hands on Course

This course is purely result oriented instead of just lecture delivering.

LifeTime Access

Lifetime Access to our online training portal and free skill upgrade on your selected course.

Learn From Industry Experts

Learn and interact with industry experts. Get benefited from their experience. 

Case Studies and Projects

Work with real time project and case studies  to get better hands on  to get job easier.


Get Certification of achievement on successfully completion on course via LMS. 

Here’s what people are saying about the course



Trainer was really very patient and made sure to address all my doubts. The trainer tailored the material to meet the needs of students with varying skills and abilities. I found that Digital Innings has successful programs to accommodate people who are just starting out and up-skill those looking to get ahead. I really recommend to join this if you really want to make career in Data Science.



Very powerful course

Highly Recommended Course. Easy to Understand, Informative, Very Well Organized. The Course is Full of Practical and Valuable for Anyone who wants to Enhance their Skills. Really Enjoyed it. Thank you!!



One of the best training ever attented

One of the best training's I have ever attended. Both the trainer's knowledge and patience are highly appreciated.

Course Enrollments started Ending Soon


APPLY TODAY to be a part of the Python for Data Science Masters Training Program

Don’t wait! Look at what past students have to say about this course

Shivani Patel


Extraordinary content  and training

I have enrolled in Python for Data Science Learning at TechNet Consultancy. The content of the course is elaborate and easy to understand. The faculty has clarity in his way of explaining, maintains a very good balance between theory and the practical process. It has been a great learning experience for me.



One of the best trainer I ever meet

The course content prepared by Technet Consultancy is extremely inline to real time industry requirement. Also, hats off to the trainer for the knowledge of the subject and the ease of explaining concepts



Really great to have training at TechNet 


I would like to recommend anyone who wants to be a Data Scientist just one place: TechNet Consultancy. Explanations are crispy, clean, clear, easy to understand. I took the Data Science course and I'm going to take Big Data and Hadoop, Gulab Sir are really kind, every question receives the right answer. Thank you, TechNet Consultancy, to make me a Data Scientist.

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