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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

The Business Analytics & Text Mining Modeling Using Python online course is an 8 weeks program offered by Swayam, a government of India initiative. The goal of this course is to teach students how to utilize text mining techniques to extract data analytics in order to meet corporate goals. With easy-to-follow learning modules, the course explains how to develop, analyze, and compare various models based on actual datasets and scenarios using a Python-based software platform.

The Business Analytics & Text Mining Modeling Using Python training includes industry support from Consultancy and Analytics companies, Big Data companies, Companies with Analytics Division. The course is totally free but if candidates want to receive a certificate, they will have to appear in an examination which costs Rs. 1000. The Business Analytics & Text Mining Modeling Using Python syllabus covers a wide range of topics which includes text mining, data visualization, python, data mining, data science, excel, etc.

The Highlights

  • 8 weeks duration
  • 100% free of cost
  • Undergraduate-level study
  • Video lectures
  • Offered by IIT Roorkee
  • Course provider Swayam
  • 2 credits
  • Online learning
  • Government-approved certificate

Programme Offerings

  • tests
  • Self-assessment
  • video lectures
  • quizzes
  • Online discussion forums
  • Reading Materials

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 1000yesIIT Roorkee

Business Analytics & Text Mining Modeling Using Python fees

Course

Amount in INR

Business Analytics & Text Mining Modeling Using Python

Free

Certification exam fee (optional)

Rs. 1,000


Eligibility Criteria

Certification Qualifying Details

Candidates must finish the core curriculum and pass the exams and quizzes to get the Business Analytics & Text Mining Modeling Using Python certification.

What you will learn

Business analytics knowledgeKnowledge of Python

After completing the Business Analytics & Text Mining Modeling Using Python online training, students will learn about python basics, built-in capabilities of python, python pandas, text mining modelling using NLTK, an overview of text mining, numerical Python, working with data in python, etc.


Who it is for

UG & PG engineering students: MBA all branches students, Professionals working in or aspiring for Data AnalystBusiness Analyst, Data Engineer, and Data Scientist roles.


Admission Details

To get admission to the Business Analytics & Text Mining Modeling Using Python online training by Swayam, follow the steps mentioned below:

Step 1. The official Swayam course website may be accessed by clicking the link below.

(https://onlinecourses.nptel.ac.in/noc21_mg65/preview)

Step 2. You may start the registration process by hitting the Register button.

Step 3. Register with your Facebook, Microsoft or Google account, or enter your email and password manually.

Step 4. To access the account details page, locate and click the 'Join' option.

Step 5. Fill in the required information to begin the course.

The Syllabus

  • Introductory Thoughts 
  • Data Mining vs. Text Mining
  • Text Mining and Text Characteristics
  • Predictive Text Analytics
  • Text Mining Problems
  • Prediction & Evaluation
  • Python as a Data Science Platform

  • Introduction to Python Installation
  • Jupyter Notebook Introduction

  • Python Programming Features
  • Commands for common tasks and control
  • Essential Python programming concepts & language mechanics

  • Data structures: tuples, lists, dicts, and sets

  • Functions
  • Namespaces
  • Scope
  • Local functions
  • Writing more reusable generic functions  

  • Generators
  • Errors & Exception Handling
  • Working with files

  • N-dimensional array objects

  • Vectorized array operations
  • File management using arrays
  • Linear algebra operations
  • Pseudo-random number generation
  • Random walks

  • Data structures: Series and DataFrame

  • Applying functions and methods
  • Descriptive Statistics
  • Correlation and Covariance

  • Working with CSV, EXCEL files
  • Working with Web APIs  

  • Filtering out missing data, Filling in the missing data, removing duplicates
  • Perform transformations based on mappings
  • Binning continuous variables
  • Random sampling and random reordering of rows
  • Dummy variables
  • String and text processing
  • Regular expressions
  • Categorical type

  • Matplotlib Library
  • Plots & Subplots

  • Text Corpus
  • Sentence Tokenization
  • Word Tokenization
  • Removing Special Characters
  • Expanding contractions
  • Removing Stopwords
  • Correcting words: repeated characters
  • Stemming & lemmatization
  • Part of Speech Tagging
  • Feature Extraction
  • Bag of words model
  • TF-IDF model
  • Text classification problem
  • Building a classifier using a support vector machine

Instructors

IIT Roorkee Frequently Asked Questions (FAQ's)

1: What is the duration of the Business Analytics & Text Mining Modeling Using Python training?

The duration of the Business Analytics & Text Mining Modeling Using Python training is 8 weeks.

2: Faculty from which institution delivers the lecture on Business Analytics & Text Mining Modeling Using Python online training?

Faculty from IIT Roorkee delivers the lecture on Business Analytics & Text Mining Modeling Using Python online training.

3: Who is the course provider of the Business Analytics & Text Mining Modeling Using Python online classes?

Swayam is the course provider of the Business Analytics & Text Mining Modeling Using Python online classes.

4: How many credit points are included in the Business Analytics & Text Mining Modeling Using Python classes?

There are 2 credits included in the Business Analytics & Text Mining Modeling Using Python classes.

5: What is the level of the Business Analytics & Text Mining Modeling Using Python tutorial?

The Business Analytics & Text Mining Modeling Using Python tutorial is Undergraduate level.

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