Complete Python Data Science & Machine Learning Bootcamp

Last Update 22/01/2026
2 already enrolled

About This Course

The Complete Python Data Science & Machine Learning Bootcamp is a comprehensive, beginner-to-advanced course designed to help you master the complete data science workflow using Python.

You’ll begin with Python programming, learning core concepts and best practices to write clean, efficient, and production-ready code. Next, you’ll explore Exploratory Data Analysis (EDA), where you’ll learn how to clean, analyze, and visualize data to uncover insights, trends, and patterns.

A strong emphasis is placed on Statistics, enabling you to understand the mathematical and statistical foundations behind data analysis and machine learning models. You’ll then move into Machine Learning, where you’ll learn essential algorithms, model evaluation techniques, and how to apply them to solve real-world problems.

By the end of this bootcamp, you’ll have the confidence to work with real datasets, build intelligent models, and apply data-driven thinking in practical scenarios preparing you for roles in Data Science, Machine Learning, and Analytics.

Learning Objectives

Python programming fundamentals and best practices for data science
Data handling and manipulation using NumPy and Pandas
Data visualization using Matplotlib and Seaborn
Exploratory Data Analysis (EDA) to discover patterns and insights
Data cleaning, handling missing values, and outlier treatment
Statistical concepts including probability, distributions, and hypothesis testing
Feature engineering techniques such as scaling, encoding, and binning
Machine learning algorithms and their practical applications
Model evaluation and performance improvement techniques
Building and deploying machine learning projects using Flask and AWS

Material Includes

  • Structured learning modules
  • Topic-wise quizzes
  • Full project source code
  • Course completion certificate

Requirements

  • Basic computer knowledge and willingness to learn
  • No prior programming or data science experience required
  • A laptop or desktop with internet access
  • Interest in Python, Data Science, and Machine Learning

Target Audience

  • Beginners who want to start a career in Data Science and Machine Learning with Python
  • Students and fresh graduates aiming for Data Analyst, Data Scientist, or ML Engineer roles
  • Working professionals looking to upskill or transition into data-driven roles
  • Software engineers and developers looking to enhance their profiles with Data Science and Machine Learning skills.

Curriculum

205 Lessons39h 10m

Getting Started

Introduction to Python4:58Preview
Course Materials & Solutions

Python Basics

Data Structures in Python

Logic Building in Python

File Management & OOPS

Scientific Computing

Data Visualization

Statistics & Data Foundations

Sampling & Descriptive Analytics

Variability, Bias & Statistical Logic

Probability & Bayesian Thinking

Probability Distributions & Normal Curve

Covariance & Correlation Analysis

Hypothesis Testing & Statistical Inference

Data Analytics & EDA Overview

EDA Process & Data Preparation

Feature Scaling & Outlier Treatment

Data Types & Analysis Techniques

Feature Engineering

EDA Case Study & Reporting

Introduction to Machine Learning

Pre-Requisites

Regression

Classification

Ensemble Learning

Clustering

Feature Engineering

Hyper Parameter Optimization

Deployment

Conclusion

Earn a certificate

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Your Instructors

Dr. Satyajit Pattnaik

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3 Students

Dr. Satyajit Pattnaik is a distinguished Data and AI professional based in Hong Kong, widely recognized for his ability to transform complex data into meaningful, actionable insights. With a thriving community of over 35,000 LinkedIn followers and 105,000+ YouTube subscribers, he leverages his deep expertise in generative AI, machine learning, deep learning, and analytics to mentor the next generation of data analysts, data scientists, and AI engineers.

A graduate of the Swiss School of Business and Management, Dr. Pattnaik has led cutting-edge research in voice-based patient classification, delivering outstanding accuracy and advancing the field of AI-driven healthcare solutions.

Over the course of his career, he has trained more than 200,000+ professionals, both through live sessions and his educational YouTube content, where he shares practical knowledge, industry insights, and advanced tutorials. A strong advocate for the power of generative AI, he has conducted numerous workshops designed to equip learners with the skills needed to thrive in the evolving tech landscape. Driven by a passion for education and community building, Dr. Pattnaik remains a trusted guide and inspiration for anyone aiming to elevate their expertise in data analytics and artificial intelligence.

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Course Poster

1,249.004,999.00

75% off
Level
All Levels
Duration 39.2 hours
Lectures
205 lectures
Language
English

Material Includes

  • Structured learning modules
  • Topic-wise quizzes
  • Full project source code
  • Course completion certificate

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