Skill Builder
Certificate Course in Data Analysis and Machine Learning
Step into the data-driven future with our hands-on Certificate Course in Data Analysis and Machine Learning. Designed for students and professionals from diverse academic backgrounds, this course provides the core skills required to analyze complex data and build intelligent systems using modern tools and real-world techniques. Master the foundations of AI, Python programming, and machine learning, and become job-ready in just 1.5 months.
- Course Duration: 6 Weeks
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What You’ll Learn in This Course
This course provides a comprehensive introduction to Artificial Intelligence, Python programming for data analysis, and practical machine learning techniques. With a focus on real-world problem solving and data projects, you’ll gain technical proficiency and project experience. No prior programming knowledge is required – just logical thinking and enthusiasm to learn!
Key Skills You’ll Gain
- Fundamentals of Artificial Intelligence and its applications
- Python programming for data analysis (including NumPy, Pandas, and Matplotlib)
- Handling real-world datasets, missing values, and outliers
- Statistical analysis and data visualization
- Supervised and unsupervised machine learning algorithms
- Model tuning and evaluation
- End-to-end project implementation and deployment readiness
Detailed Course Curriculum
Introduction to AI and its applications
Components of AI
Problem-solving techniques in AI
Knowledge representation in AI
Introduction to Machine Learning & Learning methods
Fundamentals of Python: Data types, variables, operators
Data structures
Control structures: if-else, loops
Python functions
File handling: reading and writing
Python modules and packages for AI
NumPy and Pandas libraries
Data and its importance in AI
Basic statistics in AI
Descriptive statistics & outlier detection
Data cleaning techniques
Introduction to Machine Learning
Data preprocessing and feature engineering
Supervised learning algorithms
Unsupervised learning algorithms
Ensemble methods
Hyperparameter tuning
Real-world applications
Project Work
Final Examination (Theory and Lab)
This course includes:
- Course Code : G49
- Eligibility : Plus Two and Above
- Duration : 1.5 month
- Total Hrs : 45
- Hrs/Day : 1.5
- Days : 30
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Program Highlights
Earn a certificate that adds value to your resume.
Expert Mentorship
Cross-Platform Tools
Career Support
Flexible Learning
Experienced Trainers
Ashwin Pillai
AI Trainer
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Take the first step toward building valuable skills and advancing your career. Our comprehensive program is designed to help you gain practical knowledge, hands-on experience, and the confidence to succeed in your chosen field.
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