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Sentiment Analysis Courses

Sentiment analysis courses can help you learn text processing, natural language understanding, and emotion detection techniques. You can build skills in data visualization, feature extraction, and model evaluation, which are crucial for interpreting sentiment trends. Many courses introduce tools like Python, R, and specialized libraries such as NLTK or TextBlob, which facilitate the application of sentiment analysis in various contexts, from social media monitoring to customer feedback analysis.


Popular Sentiment Analysis Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Case Study - Sentiment Analysis

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Natural Language Processing, Machine Learning Methods, Text Mining, Scikit Learn (Machine Learning Library), Data Manipulation, Data Cleansing, Python Programming, Analysis, Pandas (Python Package), Development Environment, Software Development Tools, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
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    C

    Coursera

    Social Media Data Analytics

    Skills you'll gain: Social Media Marketing, Instagram, Business Intelligence, Predictive Modeling, Predictive Analytics, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    373 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
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    411 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Science, Text Mining, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    9 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Preview
    Preview
    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Predictive Analytics and Forecasting

    Skills you'll gain: Predictive Analytics, Advanced Analytics, Business Analytics, Data Mining, Forecasting, Data-Driven Decision-Making, Customer Analysis, Data Preprocessing, Regression Analysis, Data Analysis, Data Cleansing, Statistical Analysis, Dimensionality Reduction, Business Communication, Unsupervised Learning, Market Analysis, Decision Tree Learning, Logistic Regression, Classification Algorithms, Artificial Neural Networks

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    AI-Powered Data Analysis: A Practical Introduction

    Skills you'll gain: Data Wrangling, Analytical Skills, Data Analysis, Data Preprocessing, Data Cleansing, Generative AI, ChatGPT, Data Visualization Software, Jupyter, Statistical Analysis, Artificial Intelligence, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System), Integrated Development Environments

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Python NLTK for Beginners: Customer Satisfaction Analysis

    Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    Y

    Yonsei University

    Hands-on Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Classification Algorithms, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

1234…674

In summary, here are 10 of our most popular sentiment analysis courses

  • Python Case Study - Sentiment Analysis: EDUCBA
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Social Media Data Analytics: Coursera
  • NLP: Twitter Sentiment Analysis: Coursera
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Natural Language Processing with Real-World Projects: Packt
  • Data Analysis and Interpretation: Wesleyan University
  • Social Media Data Analytics: University of Washington
  • Predictive Analytics and Forecasting: O.P. Jindal Global University
  • AI-Powered Data Analysis: A Practical Introduction: University of Michigan

Frequently Asked Questions about Sentiment Analysis

Sentiment analysis is a technique used to determine the emotional tone behind a series of words, often applied to understand opinions in text data. This process is crucial in various fields, including marketing, customer service, and social media monitoring, as it helps organizations gauge public sentiment about their products or services. By analyzing sentiments, businesses can make informed decisions, improve customer experiences, and tailor their strategies to meet audience needs.‎

Careers in sentiment analysis are diverse and can lead to roles such as data analyst, market researcher, social media analyst, and business intelligence analyst. These positions often require a blend of technical skills and an understanding of consumer behavior. As companies increasingly rely on data-driven insights, professionals skilled in sentiment analysis are in demand across various industries, including technology, finance, and retail.‎

To effectively learn sentiment analysis, you should focus on developing skills in natural language processing (NLP), data analysis, and programming languages such as Python. Familiarity with machine learning concepts and tools is also beneficial. Understanding statistical methods and data visualization techniques can enhance your ability to interpret sentiment data and communicate findings effectively.‎

Some of the best online courses for sentiment analysis include the Mastering NLP: Tokenization, Sentiment Analysis & Neural MT Specialization and the Python Case Study - Sentiment Analysis. These courses provide comprehensive training in sentiment analysis techniques and applications, catering to various skill levels.‎

To learn sentiment analysis, start by exploring online courses that cover the basics of natural language processing and data analysis. Engage with practical projects to apply your knowledge, such as analyzing social media posts or customer reviews. Additionally, participating in online forums and communities can provide support and insights as you progress in your learning journey.‎

Typical topics covered in sentiment analysis courses include text preprocessing, feature extraction, sentiment classification techniques, and the use of machine learning algorithms. Courses may also explore real-world applications, such as sentiment analysis in marketing and customer feedback, as well as tools and libraries commonly used in the field, like NLTK and TensorFlow.‎

For training and upskilling employees in sentiment analysis, consider courses like the Advanced Tokenization and Sentiment Analysis and the Microsoft Generative AI for Data Analysis Professional Certificate. These programs are designed to enhance analytical skills and provide practical insights that can be directly applied in the workplace.‎

Yes. You can start learning sentiment analysis on Coursera for free in two ways:

  1. Preview the first module of many sentiment analysis courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in sentiment analysis, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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