Certified Professional in Text Analytics
-- viewing nowThe Certified Professional in Text Analytics course is a comprehensive program designed to equip learners with essential skills in text analytics, a high-demand field that uses natural language processing, machine learning, and other advanced techniques to extract insights from unstructured data. This course is crucial for professionals seeking to advance their careers in data science, business intelligence, or any role that requires deep understanding of customer needs, market trends, or operational efficiency.
4,767+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
• Fundamentals of Text Analytics: Introduction to text analytics, natural language processing, and machine learning. Understanding of text data and its sources.
• Data Preparation for Text Analytics: Data preprocessing techniques for text analytics, including cleaning, normalization, and feature extraction.
• Text Analytics Techniques: Overview of text analytics techniques, such as text categorization, sentiment analysis, and topic modeling.
• Text Analytics Tools and Platforms: Familiarity with popular text analytics tools and platforms, such as Python, R, and Apache Spark.
• Data Visualization for Text Analytics: Techniques for visualizing text analytics results, including word clouds, network graphs, and dashboards.
• Ethical Considerations in Text Analytics: Understanding of ethical considerations in text analytics, such as privacy, security, and fairness.
• Text Analytics in Practice: Real-world applications of text analytics, including case studies and examples.
• Evaluation Metrics for Text Analytics: Methods for evaluating text analytics models, such as accuracy, precision, and recall.
• Building a Text Analytics Solution: Steps involved in building a text analytics solution, including data preparation, model building, and deployment.
• Continuous Learning and Improvement in Text Analytics: Strategies for continuous learning and improvement in text analytics, including monitoring and evaluation of models, and incorporating user feedback.
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate