Natural Language Processing Certificate Course
Self- Paced
Fee: ₹9,999 ₹4,999
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This course will provide learners with complete knowledge of Natural Language Processing, its implementation libraries, and use cases like “Sentiment Analysis”, “Spam Mail Detection” and speech recognition projects.
Objectives
Students who complete this course will gain a foundational understanding of natural language processing methods and strategies. They will also learn how to evaluate the strengths and weaknesses of various NLP technologies and frameworks as they gain practical experience in the NLP toolkits available.
Describe the fundamental concepts and techniques of natural language processing.
Analyze large volume text data generated from a range of real-world applications.
Distinguish among the various techniques, taking into account the assumptions, strengths, and weaknesses of each.
What Will You Learn
By the end of the course, you would be learning multiple skillsets including: natural language processing methods and strategies. You will also learn how to evaluate the strengths and weaknesses of various NLP technologies and frameworks and also gain practical experience in the NLP toolkits available.
Skills you will gain
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Prepare for your career path
NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms., you will have to do analysis of product reviews for the company.
Key Skills to Learn
Statistical Analysis Skills. Machine Learning Concepts and Methods. Text Representation Techniques. Algorithm Analysis Skills. Computer Programming Languages like Python and R, Java. Strong Problem-Solving skills. Good Communication Skills. Text Clustering Skills.
Study and transform data science prototypes Design NLP applications Select appropriate annotated datasets for Supervised Learning methods Use effective text representations to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Develop NLP systems according to requirements Train the developed model and run evaluation experiments Perform statistical analysis of results and refine models
Key Skills to Learn
Statistical Analysis Skills. Machine Learning Concepts and Methods. Text Representation Techniques. Algorithm Analysis Skills. Computer Programming Languages like Python and R, Java. Strong Problem-Solving skills. Good Communication Skills. Text Clustering Skills
Jobs in India
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More than 70k per year
Average Salary
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8.5 Lakhs per annum
Job Growth
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35.2%
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Curriculum
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Module 1: Introduction to NLP
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NLP Introduction
14:32 -
IDLE Google colab
0:06:00 -
Practical of basic NLP code
0:01:32
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Module 2: Introduction Python
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Python Introduction
0:05:02 -
Installation of Anaconda Navigator
0:07:27 -
Jupyter Notebook Interface
0:09:26 -
How to Open ,save and Rename a file
0:04:54 -
Variables and Data Types
0:09:53 -
Loops (Conditional)
0:18:45 -
Loops (iterative while)
0:16:25 -
Loops(iterative For)
0:11:57 -
Python Functions(Built in,Lambda,User defined functions)
0:12:28 -
Lists
0:20:13 -
Tuples
0:10:30 -
Sets
0:11:52 -
Dictionaries
0:20:00
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Module 3: Data Manipulation and Data Analysis Tools
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Numpy Arrays in Python
0:19:08 -
Three Dimensional Arrays Indexing and slicing
0:15:24 -
Matrices
0:15:04 -
Pandas in Python
0:10:08 -
Importing CSV ,Excel Files
0:07:45 -
Exporting CSV file
0:05:01
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Module 4: Python - Pandas
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Pandas Data frames
0:24:38 -
Querying Data in Pandas
0:11:28 -
Data Aggregation with Pandas Data frames
0:14:01 -
Concatenating and appending Data Frames
0:13:53 -
Joining Data Frames
0:18:06 -
Statistics with Pandas Data Frames
0:11:12 -
Handling Missing Dat
0:29:58 -
Pivot Tables
0:22:14 -
Plotting in Pandas
0:14:16
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Module 5 : Text Preprocessing
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Regular Expression
0:11:44 -
Regular Expression Practical
0:20:49 -
Basic Text Preprocessing
0:08:18 -
Basic Text Preprocessing Practical
0:15:19 -
Chat word treatment
0:03:11 -
Chat word treatment Practical
0:14:16 -
Tokenization, Stemming, Lemmetization
0:09:14 -
Tokenization, Stemming, Lemmetization Practical
0:17:06
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Module 6: Part of Speech Tagging
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Spacy Library
0:06:47
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Module 7: Text Representation
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Text Representation
0:18:02 -
One Hot Encoding
0:13:23 -
Bag of Words
0:12:17 -
TF-IDF
0:05:48
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Module 8: Machine Learning
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Introduction to Machine Learning
0:12:00 -
Types of machine learning
0:09:51
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Module 9 : Word2Vec Deep Learning
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Using Machine Learning Word2Vec
0:04:46 -
Practical Word2Vec
0:07:27
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Module 10: Text Classification
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ML based Classification
0:07:29 -
DL based Classification
0:14:30
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Instructor
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Dr. Pooja Bijlani
Trainer (Subject Matter Expert) Future Skill AcademyPresently she is working as an IT Trainer (Subject Matter Expert) at Future Skill Academy, AISECT, Bhopal. She is having over 15 years of academic and research experience. Expert in Programming Languages C,C++,Python, Java, React Spring Boot, Artificial Intelligence, Machine Learning and Data Science. Students accoladed her programming language teaching skills. Having experience in number of End to End projects in Natural language Processing, Computer Vision and Python Desktop Application GUI. Web Designing.
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Dr. S. Veenadhari
Dean (Computer Science Engineering) Rabindranath Tagore University, Raisen, Madhya PradeshPresently she is working as a Dean in the Computer Science Engineering department at Rabindranath Tagore University, Bhopal. She has over 20 years of academic and research experience. Under her guidance more than 10 students completed their doctoral programs in the field of Machine Learning and Data Science.
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Dr. Priti Maheshwary
Professor FSAPresently working in Future Skill Academy. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research, and administrative roles. She enjoys teaching and looking into how to improve the student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, and 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. Also done more than 10 projects in the field of Research and Consultancy.
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Shareable Certificate
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Other Details
Natural Language Processing Certificate Course
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₹9,999 ₹4,999
Get job assistance and jumpstart your career as NLP Analyst, NLP Engineer
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FAQs
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Does this course include a certificate?
yes
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Does this course have lifetime access or limited period access?
No, 1 year access
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Is this course available in Hindi Version as well
No
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What are the advantages of this course?
Students who complete this course will gain a foundational understanding of natural language processing methods and strategies. They will also learn how to evaluate the strengths and weaknesses of various NLP technologies and frameworks as they gain practical experience in the NLP toolkits available.
Associated Courses
₹9,999 ₹4,999
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