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Our Data Science with Python training course is aimed at analysts and software developers who need to create analysis and data visualization solutions using the key functions and libraries available in and around Python. You will benefit from extensive hands-on labs, delivered by an expert Data Science practitioner who can guide you from the basics of data wrangling with Python to using sophisticated libraries to visualize and make predictions based on your data. The Data Science with Python training course comprises two modules - Data Analysis with Python, and Machine Learning with Python, which can be taken individually - let us know if you would like to split your attendance of each module.

Duration : 25 hours

Fee: 438

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Date Time Type Attend
29th June 2024 8:00 AM   IST Demo
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  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Module of Training


Live presentation of theory, demonstration of tool, features & tasks

We are connecting Online via Goto Meeting

Get practice environment for practical & hands-on Training curriculum has been designed by real-time industry professionals & real-time scenarios training pattern


Learn as per day-wise & customized schedule with discussions & lab exercises included

One to one or Batch-wise interactive demonstration of a tool, features and 100% practical classes

World-class learning material & case studies for the course

Completely customizable course content & schedule as per convenience

Certification guidance provided if necessary


Python for Data Science Download  

What is Data science and Data Mining?

  • Data science

It's a study of all information, where we represents and turns into valuable resource for business and their strategies.

  • Data Mining

Large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage.

Why to learn Python for Data Science?
Generally, Employers looking for candidates to fill data scientist positions that have knowledge capabilities into: 

  • Experience with programming languages like Python, Perl, C/C++, and Java
  • Proficiency in big data software platforms like Hadoop
  • In-depth knowledge of at least a few analytical tools like SAS and R

Acquire new skills with our Python for Data Science

  • You can expert in developing predictive systems and creating efficient algorithms to improve data quality
  • Identifying, evaluating, designing, and implementing statistical analyses of gathered data to create analytic metrics and tools
  • Practicle knowledge over Designing, building, and deploying data analysis systems for large data sets
  • You can able to Create algorithms to extract information from large data sets
  • Efficiently deploying or establishing, automated processes for model development, validation, implementation, and large-scale data analysis
  • Developing metrics and prototypes used to drive business decisions
  • Identifying emergent trends and opportunities for future client growth and development

Course Overview
In this curriculum, you will learn about basic concepts of Python, how to use Python both interactively and through a script. You can Create your first variables and acquaint yourself with Python's basic data types, powerful ways to store and manipulate data as well as cool data science tools to start your own analyses. This Course will also help you in master of Python programming concepts such as data operations,  file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science.

Introduction to Python for Data Science Training Course Curriculum

Introduction to Data science

  • Basics of Data Science
  • What is data science
  • AI vs DS vs Machine learning
  • Fields of data science
  • Applications of Data Science

Big Data

  • Definition of Big data
  • Applications of Big data
  • Hadoop and Spark

Natural Language Processing

  • Definition of NLP
  • Application of NLP
  • Tools and Language

Machine learning

  • Definition of Machine learning
  • Types of Machine Learning
  • Applications of Machine learning
  • Tools and Languages

NoSQL Data bases

  • Definition
  • SQL vs NoSQL Databases
  • NoSQL databases tools
  • Search Engine technologies

Python Basics

  • Installation
  • Anaconda
  • Environment creation
  • Pycharm


â–ºData types in Python

â–ºString data types








  • Inheritance
  • Encapsulation


  • Exceptional handling

Numpy, Pandas

  • Numpy Tutorial
  • Pandas Tutorial

Natural Language Processing- Overview

  • Basics of NLP
  • Applications of NLP
  • Tokenization
  • Stopwords
  • Stemming and lemmatization
  • Part of Speech tagging
  • Named entity recognition
  • Custom NER system using OpenNLP (java)
  • Phrase Handling Application
  • Sentiment Analysis Application

Feature Extraction process

  • True/False model
  • Count Vectorizer
  • TF-IDF Vectorizer

â–ºRecommendation System Application

Web Crawling

  • Scrapy Introduction
  • Xpath Introduction
  • Crawling Application

Machine learning

  • Basics of Machine Learning
  • Types of Machine Learning Algorithms



  • Logistic Regression
  • K Nearest Neighbors
  • SVM
  • Decision Tree
  • Random Forest
  • Gradient Boosting
  • Naïve Bayes


  • Linear Regression
  • Polynomial Regression
  • SVR
  • Decision Tree Regressor
  • Random Forest Regressor



  • K Means Clustering
  • Hierarchical Clustering

Machine Learning Model Evaluation

  • Backward elimination Process
  • P value
  • R Squared

Class Delievery

  • Live Interactive classes with expert

Delievery  Methodology

  • We are using an experiential delievering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course

Who should Learn Python for Data Science?

  • Any IT experienced Professional
  • Who wants to make a career in python web development
  • Software automation
  • Data Analytics
  • Fresh Graduates
  • Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ B.Com College Students in any stream

Prerequisite to learn Python for Data Science

This certification training course does not presume or require any prior knowledge on Python for Data Science. 
To understand the concepts, useful to know basic knowledge of application. We are recommending that students have following:

  • Basic understanding of Computer Programming Languages

Delivery Methodology used to deliver the Python for Data Science

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Python for Data Science FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed. For more details: Just give us a call at: +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: What if I have more queries and doubts?

Answer: Just give us call at : +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: How Fee Refund Policy works?

Answer: Please refer the link for refund policy: https://www.bisptrainings.com/Refund-Policy

Case Study and Learning Pdf's


Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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