DATA Science
- Description
- Curriculum
- FAQ
- Reviews
To introduce beginners to the world of data science, enabling them to learn core concepts, tools, and techniques in Python, statistics, data analysis, machine learning, and visualization—and prepare them for entry-level roles like Data Analyst, Junior Data Scientist, or ML Engineer Intern.
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Key Features
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✅ Beginner-Friendly Curriculum (No prior coding experience needed)
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✅ Hands-on Practice with real datasets from multiple industries
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✅ Core Focus Areas: Python, Statistics, Pandas, ML, Visualization
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✅ Mini Projects & Capstone Project to build portfolio
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✅ Industry-Ready Resume + Interview Coaching
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✅ Cloud Tools & GitHub Integration
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✅ Certification & LinkedIn Badge upon completion
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✅ Live + Recorded Sessions, Quizzes, Assignments
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Target Audience
This course is ideal for:
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🎓 Students & Fresh Graduates exploring data careers
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🔁 Professionals from Non-Tech Backgrounds (Finance, Sales, Operations, HR, etc.)
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💼 Working Professionals wanting to switch to data roles
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🧪 Manual Testers or Business Analysts aiming to upskill
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🧠 Anyone Curious about AI, ML, and data-driven careers
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26
Supervised Learning -
27
Linear Regression
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28
Logistic Regression
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29
Decision Trees and Random Forests
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30
Support Vector Machines (SVM)
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31
k-Nearest Neighbors (k-NN
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32
Neural Networks
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33
Unsupervised Learning:
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34
Clustering K-means, Hierarchical
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35
Dimensionality Reduction (PCA, t-SNE)
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36
Model Evaluation
