Data Analytics Python For Natural Language Processing – Advance Level

 

Summary

 

Learning Outcomes 

 

  • Learn about the programming in python language
  • Learn the fundamentals in storing and processing different shapes of data
  • Create functions to further enhance the reusability of the code
  • Apply modules related to data manipulations replicating the excel tasks without opening one
  • Creating various type of charts to speak out your data better

 

Target audience

 

  • Participants working in excel operations on regular basis
  • Financial / risk analysts

 

Course Content

 

Day 1

 

Session 1:

  • Language Processing 
    • Searching Text
    • Counting Vocabulary
    • Frequency Distributions
    • Collocations and Bigrams
  • Tokenization
    • Lemmatization 
    • Counting Vocabulary
  • Corpus 
    • Conditional Frequency Distributions
    • WordNet
    • Lexical Relations
    • Semantic Similarity 

 

Day 2

 

Session 2:

  • Regular Expression 
    • Segmentation
      • POS-tagger 
      • Tagged Corpora
      • N-Gram

Session 3:

  • Classification 
    • Context Free Grammar
       

Day 3

 

Session 4:

  • Financial Sentiment Analysis using FinBERT 

Session 5:

  • Social Media Mining and Web mining 
    • Using Twitter and Wiki to get online information 

 

Trainer Profile

 

Trainer has a rich experience in data science and financial modelling areas. He is a versatile trainer equipped to handle topics like machine learning, programming languages in Python and R and market risk analysis. He is an engineer and MBA by education.

 

Training dates - September 20-22, 2023

Training fees - ₹ 18,000 + applicable taxes