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The Complete Data Science Bootcamp: Zero to Hero

Master data analysis, machine learning, SQL, and data visualization using Python to solve real-world business problems.

4.9 (33 ratings) · 57 learners · Malayalam · Updated Sep 2026
Created by Ayana

What you will learn

  • Master Python programming for data analysis and automation
  • Write advanced SQL queries to extract and manage large relational databases
  • Clean, process, and manipulate messy datasets using Pandas and NumPy
  • Build stunning data visualisations and dashboards with Matplotlib and Seaborn
  • Apply statistical concepts and hypothesis testing to real-world scenarios
  • Train, evaluate, and tune machine learning models for predictive analysis
  • Communicate data insights effectively to stakeholders and business leaders

Course content

5 sections · 30 lessons · 12h 18m total

Introduction To Data Science Preview 28:52
Introduction To Data Science 0:00
Python Programming 1:16:46
Python Programming 0:00
Object-Oriented Programming System 50:15
Object-Oriented Programming System 0:00
File Handling 35:48
File Handling 0:00
Pandas 46:59
Pandas 0:00
Data Visualization Matplotlib Seaborn 51:11
Data Visualization Matplotlib Seaborn 0:00
Numpy 37:34
Numpy 0:00
Exploratory Data Analysis 1:44:40
Exploratory Data Analysis 0:00
Structured Query Language 21:09
Structured Query Language 30:24
Structured Query Language 21:39
Sql 0:00
Power Bi 54:51
Power Bi 0:00
Statistics 55:52
Statistics 0:00
Machine Learning 59:14
Machine Learning 0:00
Flask 29:15
Flask 0:00
Streamlit 33:45
Streamlit 0:00

Requirements

  • A computer (Windows, macOS, or Linux) with internet access
  • Basic high school mathematics and analytical thinking skills
  • No prior programming or data science experience required—we start from zero

Description

Welcome to the Ultimate Data Science Bootcamp

Unlock the power of data and launch a high-demand career. This comprehensive bootcamp takes you from absolute beginner to a professional data scientist by teaching you how to collect, clean, analyze, and interpret complex datasets using industry-standard tools.

What You Will Learn

  • Python & SQL Fundamentals: Master data manipulation using Pandas, NumPy, and write complex SQL queries to extract data from databases.
  • Data Visualization: Transform raw data into compelling insights and interactive dashboards using Matplotlib, Seaborn, and Tableau.
  • Statistical Analysis & Probability: Build a solid foundation in statistics to drive accurate business decisions and hypothesis testing.
  • Machine Learning Modeling: Implement predictive algorithms and classification models using Scikit-Learn.
  • Real-World Portfolio Projects: Solve end-to-end data challenges across finance, healthcare, and e-commerce.

Why Choose This Course?

No prior coding or math background is required! Through hands-on exercises, practical datasets, and guided capstone projects, you will build a professional portfolio that proves your skills to top employers.

Who this course is for

  • Absolute beginners looking to break into the fast-growing field of Data Science
  • Professionals wanting to transition into high-paying data analyst or scientist roles
  • Business analysts and marketers looking to enhance their quantitative and technical skills
  • Researchers and students wanting rigorous, practical data training

Your instructor

Ayana

  • 5.00 instructor rating
  • 18 reviews
  • 240 students
  • 3 courses

Learner reviews

4.9

33 ratings

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