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Data Science Masterclass: From Zero to Hero

Course Description

Course Overview

Data Science is one of the most in-demand skills in today’s tech-driven world, helping professionals analyze, predict, and make data-driven decisions. "Data Science Masterclass: From Zero to Hero" is a comprehensive course designed to take learners from foundational concepts to advanced machine learning techniques. Covering Python, data preprocessing, visualization, machine learning, and model deployment, this course equips participants with practical skills to excel in real-world data science projects.

Curriculum Breakdown Chapter 1: Introduction to Data Science
  • Lesson 1: What is Data Science? Key Concepts & Applications
  • Lesson 2: Essential Tools – Python, Jupyter, Pandas, NumPy
  • Lesson 3: Setting Up Your Data Science Environment
Chapter 2: Data Wrangling & Preprocessing
  • Lesson 1: Handling Missing Data, Duplicates & Outliers
  • Lesson 2: Data Transformation & Feature Engineering
  • Lesson 3: Exploratory Data Analysis (EDA) with Pandas & Seaborn
Chapter 3: Data Visualization & Insights
  • Lesson 1: Visualizing Data with Matplotlib & Seaborn
  • Lesson 2: Advanced Interactive Visualizations with Plotly
  • Lesson 3: Creating Dashboards for Business Insights
Chapter 4: Machine Learning Fundamentals
  • Lesson 1: Introduction to Machine Learning – Supervised vs. Unsupervised
  • Lesson 2: Building ML Models with Scikit-learn (Regression & Classification)
  • Lesson 3: Model Evaluation & Hyperparameter Tuning
Chapter 5: Real-World Projects & Model Deployment
  • Lesson 1: End-to-End Data Science Project – From Data to Model
  • Lesson 2: Deploying ML Models with Flask & Streamlit
  • Lesson 3: Industry Applications & Career Pathways
Why Should You Take This Course?

Hands-On Learning – Work on real datasets & projects for practical experience.
Full-Stack Data Science – Covers Python, visualization, ML, and model deployment.
Industry-Relevant Skills – Learn techniques used in finance, healthcare, marketing, and AI.
Career Boost – Gain expertise to land jobs in data science, AI, and analytics.
Project-Based Approach – Build and deploy real-world machine learning models.

This course is perfect for aspiring data scientists, analysts, engineers, and anyone looking to break into the field of AI and ML. Whether you're a beginner or have some experience, this course will take you from zero to hero in Data Science! 🚀

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Sushmitha

Data Science intern

I am passionate Data Science Intern with a strong foundation in machine learning, web scraping, SQL, and data visualization.

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This Course Fee:

Free

Course includes:
  • img Level
      Beginner Intermediate
  • img Duration 6h 40m
  • img Lessons 13
  • img Quizzes 5
  • img Certifications Yes
  • img Language
      English
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