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Training Cum Internship Program in Data Science and Machine Learning

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Instructors: The IoT Academy

₹3500 42.89% OFF

₹1999 including GST


Description

The "Data Science and Machine Learning" Program is designed to equip a learners transform into a job-ready professional by teaching the learner Complete data cycle. This program covers Python Programming, R Language and statistical fundamentals before progressing to machine learning algorithms like regression, classification, clustering and visualization with tableau .Through hands on project from customer predication to sentiment analysis -you will build a Professional portfolio demonstrating you can extract insights and create predictive solutions. The Program helps you for interview preparation and placement assistance, equipping you for roles like Data Analyst, Junior Data Scientist, or ML Engineer.

What You Will Achieve From our Program ?

1. Practical Learning Experience
2. Skill Enhancement in emerging technologies
3. Industry Readiness by understanding many corporates practices.
4. Exposure to Real Projects
5. Placement Advantage
6. Certification and Credibility
7. Networking Opportunities with industry professionals, mentors, and peers
8. Confidence and Professional Growth

Course curriculum

Internship and Training Certificate

LEARNING  RESOURCES

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Learning Path

Week 1: Getting Started & Python for Data Science

Python essentials: data types, control flow, functions
Libraries: NumPy, Pandas Working with Jupyter Notebook

Week 2: Data Cleaning & Exploratory Data Analysis (EDA)

Handling missing values & duplicates
Encoding categorical data

Week 3: Statistics & Supervised Learning

Basic statistics: mean, variance, distributions
Train/test split

Week 4: Advanced Machine Learning Algorithms

Support Vector Machines (SVM)
Random Forests & Ensemble methods

Week 5: Unsupervised Learning & Data Science Pipelines

Clustering: K-Means, Hierarchical
Dimensionality reduction: PCA

Week 6: Capstone Project & Internship Deliverables

Choose a real dataset, Define problem & goals, Clean, explore & model data

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