Sentiment Analysis Courses and Certifications

Social Media Data Analytics

299 ratings at Coursera

Collect data from X, YouTube, Flickr and Yelp through APIs, then apply correlation, regression, visualization and sentiment analysis using Python and R.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Artificial Intelligence in Social Media Analytics

Apply AI to social media text: build and evaluate ML classifiers, pre-process text with NLTK, run sentiment analysis, and extract topics with LDA and semantic networks.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore text analytics through sentiment analysis and Latent Dirichlet allocation topic modeling, survey trends like explainable AI, AutoML and IoT, then build a data analytics plan.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Natural Language Processing with Deep Learning in Python

8590 ratings at Udemy

Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets

• Udemy
• 12 hours 3 minutes
• Self-Paced
• Paid Course

Analytics & Optimization Workshop (LinkedIn Focus)

Use AI to turn LinkedIn analytics into action: organize exported metrics, run sentiment analysis on comments, forecast 30-day performance, and build a cross-platform optimization plan.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Intro to Natural Language Processing (NLP) in Python for AI

3098 ratings at Udemy

Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

• Udemy
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Natural Language Processing: NLP With Transformers in Python

2820 ratings at Udemy

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

• Udemy
• 11 hours 31 minutes
• Self-Paced
• Paid Course

Hands-on Text Mining and Analytics

40 ratings at Coursera

Build text mining applications with the y-TextMiner Java toolkit through labs in text preprocessing, term weighting, document classification, sentiment analysis, and topic modeling.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

"Learning Analytics" for L&D Professionals (Accredited)

1979 ratings at Udemy

13 CPDs +6 Exclusive L&D Case Studies + Open Source Data Mining Tool + Kirk Patrick All Levels Incl + 2 Assignment + NLP

• Udemy
• 4 hours 58 minutes
• Self-Paced
• Paid Course

Hands On Natural Language Processing (NLP) using Python

1888 ratings at Udemy

Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.

• Udemy
• 10 hours 33 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Python Developer: From Basics to Case Studies

105 ratings at Coursera

Learn Python from basics through data structures, object-oriented programming, and file handling, then build chatbots, apps, cryptography tools, and sentiment analysis systems.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Natural Language Processing (NLP) with BERT

1562 ratings at Udemy

Perform sentiment analysis on IMDB movie reviews: preprocess the dataset, then build, train, and evaluate a BERT model with the low-code Ktrain library in Google Colab.

• Udemy
• 1 hour 1 minute
• Self-Paced
• Free Online Course

EDUCBA Career Certificate

Applied Python: Web Dev, Machine Learning & Cryptography

75 ratings at Coursera

Build and deploy Python web applications, then apply linear regression, sentiment analysis, and cryptography in project-based case studies.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

U&P AI - Natural Language Processing (NLP) with Python

1149 ratings at Udemy

Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines!

• Udemy
• 5 hours 50 minutes
• Self-Paced
• Paid Course

Coursera

Analyze and Predict with AI Insights

Apply AI tools to categorize themes and track sentiment shifts in user interaction data, then validate predictive model outcomes against business scenarios for marketing decisions.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course