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Natural Language Processing Python Course
Unlock the potential of Natural Language Processing (NLP) using our Python course, specifically designed for Business Intelligence professionals in Pakistan. Delve into data preprocessing techniques, mastering text cleaning, tokenization, and stop word removal. Explore topic modelling using Latent Dirichlet Allocation (LDA) and enhance your insights through sentiment analysis with TextBlob and NLTK. Visualize data effectively with Seaborn and Matplotlib, and transform your findings into actionable business recommendations relevant to the Pakistani market. Enhance your BI skillset with practical, top-quality learning.
- Become proficient in topic modelling using Latent Dirichlet Allocation (LDA).
- Clean and normalise text data for NLP applications.
- Perform exploratory data analysis using Pandas.
- Develop advanced data visualisations using Seaborn and Matplotlib.
- Implement sentiment analysis using TextBlob and NLTK.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the potential of Natural Language Processing (NLP) using our Python course, specifically designed for Business Intelligence professionals in Pakistan. Delve into data preprocessing techniques, mastering text cleaning, tokenization, and stop word removal. Explore topic modelling using Latent Dirichlet Allocation (LDA) and enhance your insights through sentiment analysis with TextBlob and NLTK. Visualize data effectively with Seaborn and Matplotlib, and transform your findings into actionable business recommendations relevant to the Pakistani market. Enhance your BI skillset with practical, top-quality learning.
Elevify advantages
Develop skills
- Become proficient in topic modelling using Latent Dirichlet Allocation (LDA).
- Clean and normalise text data for NLP applications.
- Perform exploratory data analysis using Pandas.
- Develop advanced data visualisations using Seaborn and Matplotlib.
- Implement sentiment analysis using TextBlob and NLTK.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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