Data Science and Machine Learning
Offered By: GiftAbled Foundation
Course Description:
GiftAbled Foundation introduces an extensive and inclusive ” Data Science and Machine Learning” program aimed at empowering individuals with disabilities— physical impairments (PH) and deafness—with cutting-edge skills in data science and machine learning. This comprehensive training is uniquely designed to create a level playing field, ensuring accessibility and inclusivity for all participants.
Eligibility Criteria :
- Individuals with disabilities (PH, Deaf)
- Basic understanding of programming (preferred)
- People with Disabilities from Technical background (B.Tech / M.Tech / BCA and MCA)
Program Highlights:
This program is meticulously crafted to provide an inclusive learning environment and equip participants with a robust foundation in Data Science and Machine Learning. Key highlights include:
- Expert guidance from industry practitioners experienced in accessibility-focused data science.
- Customized learning modules catering to diverse learning needs, including sign language interpretation for the deaf.
- Extensive practical sessions covering fundamental and advanced concepts in Data Science and Machine Learning.
- Real-life project-based learning to apply theoretical knowledge in practical scenarios.
- Innovative teaching methodologies ensuring accessibility and comprehension for all participants.
Course Structure
Virtual Session ( 120 Hours )
| Module | Description | Hours |
|---|---|---|
| 1. Python Basics for Data Science | ● introduction to Python Programming Language, Variables, ● python Data Types, ● python operators ● python Control Structures | 10 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 2. Data Handling with Python | ● Data Structures in Python (Lists, Tuples, Dictionaries). ● Python File Handling. ● Python NumPy Library. ● Python Pandas Library. | 15 Hours |
| Doubt Session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform. | Same As Above |
| 3. Introduction to Statistics , Measures of Central and Tendency and Dispersion. | ● Overview of Statistics, Descriptive vs. Inferential Statistics, Types of Data. ● Mean, Median, Mode, Variance, Standard Deviation, Quartiles. | 10 Hours |
| Doubt Session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform. | Same As Above |
| 4. Probability Basics and Statistical Inference. | ● Probability Definitions, Rules of Probability, Probability Distributions. ● Hypothesis Testing, Confidence Intervals, p-values. | 5 Hours |
| Doubt Session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform. | Same As Above |
| 5. Data Visualization with Python | ● Matplotlib, Seaborn, Effective Data Visualization Techniques. | 10 Hours |
| Doubt Session & Assessment | Conduct module compilation doubt Clarification. Assessment on Authorized Virtual platform. | Same As Above |
| 6. Feature Engineering Fundamentals and Feature creation,Transformation and extraction. | ● Introduction to Feature Engineering, Handling Missing Data, Encoding Categorical Variables. ● Scaling, Normalization, Log Transformation, Handling Skewed Data | 10 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 7. Feature Selection Techniques and Dimensionality Reduction | ● Statistical Methods (Correlation, Mutual Information), Wrapper Methods (Forward/Backward Selection), Embedded Methods. ● Principal Component Analysis (PCA), Singular Value Decomposition (SVD), t-Distributed Stochastic Neighbor Embedding (t-SNE). | 10 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 8. Introduction to Machine Learning and Algorithm | ● Understanding Machine Learning Concepts ● Overview of Different Types of Machine Learning ● Introduction Machine learning algorithms. | 5 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 9. Supervised Machine Learning Algorithms | ● Linear Regression ● Logistic Regression ● Decision Trees and Random Forest ● Support Vector Machines (SVM) | 15 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 10. Unsupervised Learning Algorithms | ● K-Means Clustering ● Hierarchical Clustering ● Principal Component Analysis (PCA) | 8 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 11. Ensemble Learning ,Model Evaluation and Hyperparameter Tuning | ● Bagging (Bootstrap Aggregating) ● Boosting ● Voting Classifiers ● Model Evaluation Metrics ● Hyperparameter Tuning | 5 Hours |
| Project Review and final Assessment | Project Review Assessment on Authorized Virtual platform. | Same As Above |
| 12. Neural Networks and Deep Learning | ● Introduction to Neural Networks ● Convolutional Neural Networks (CNN) ● Recurrent Neural Networks (RNN) | 5 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
| 13. Deployment Real-world Applications and Capstone Project | ● Model Deployment ● Real-world Applications ● Capstone Project | 12 Hours |
| Doubt session & Assessment | Conduct module compilation doubt session. Assessment on Authorized hiring platform | Same As Above |
Session Breakdown
Offline session ( 80 Hours )
| Module | Description | Hours |
|---|---|---|
| 1. Practical Application Labs | ● Hands-on Coding Sessions in a Physical Lab Environment ● Case Studies and Group Projects ● Problem-solving Exercises | 40 Hours |
| Doubt session & Assessment | ● Conduct module compilation doubt session ● Assessment on Authorized hiring platform | Same As Above |
| 2. Advanced Topics and Workshops | ● Specialized Workshops on Advanced Machine Learning Techniques. ● Guest Lectures and Industry Talks. ● Capstone Project Guidance and Support. | 40 Hours |
| Project Review and final Assessment | ● Project Review ● Assessment on Authorized hiring platform. | Same As Above |
Program Features:
- Expert Trainers from Top Multinational Companies
- Sign Language Interpreters for Deaf Students
- Hands-on Practical Sessions
- Problem-solving Exercises and Quizzes
- Project-based Learning
- Collaborative and Inclusive Environment
Course Certification:
Upon successful completion of the program, participants maintaining a minimum attendance of 80% and demonstrating good class performance will receive a certificate from GiftAbled Foundation. This certification validates their expertise in data science and machine learning, a crucial asset for job readiness in the tech industry.
Internship and Job Opportunities:
Additionally, participants showcasing exceptional dedication, aptitude, and performance throughout the program may be considered for internship or job opportunities facilitated by GiftAbled Foundation’s network of partner organizations. This opportunity serves as a rewarding pathway for students to apply their acquired skills in professional environments, furthering their career prospects in the technology industry.
Course Calendar
| Pre-entrance & Personal Interview | Start Date | Platform |
|---|---|---|
| 31st May 2024 | 3rd Jun 2024 | Google Meet |
Contact details :
Mobile No : +919493365748 / +917337877164
Email id : trainings@giftabled.org
GiftAbled - fostering inclusion
About Us
GiftAbled is a social enterprise which strives to create an ecosystem of like-minded individuals to collectively build an inclusive society.We aim to empower People with Disabilities across several aspects of their life and support them in living with dignity.