Complete Data Science Course with Python

This is a detailed Hands-on Data Science course with Python with Capstone Projects from various domains. This course is suitable for all levels of learners from beginners to advanced students.

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(5738 Ratings)

Welcome to Complete Data Science Course With Python. This course includes important Data Science topics such as  Data Collection, Data Visualization, Data Preprocessing, Machine Learning.

In this course you will learn the basics of Python Programming required for Data Science and Important Python Libraries required for Data Science.


After completing these modules you will learn how to use your knowledge of Data Science in Projects. This course includes Capstone Projects including Building a Movie Recommendation System, Cancer Prediction, etc.

WHAT YOU’LL LEARN

In this course you will learn what is meant by Data Science, what are the various steps involved in a Data Science Project, Data Visualization, Data Analysis, Machine Learning, etc.

You will also learn how to work in a Data Science Project.

Following is the Syllabus for this Data Science Course:

  1. Course Introduction
  2. Breaking down the steps involved in a Data Science project
  3. Getting System Ready
  4. Python Basics
  5. Numpy and Pandas Tutorial
  6. Data Collection
  7. Data Visualization and Analysis
  8. Data Preprocessing
  9. Machine Learning Basics
  10. Data Science Projects

  • Course Introduction 00:06:01
  • Course Curriculum 00:03:34

  • Overview of the steps involved 00:02:24
  • Understanding the problem statement 00:06:32
  • Data Collection 00:07:31
  • Data Visualization and Analysis 00:09:11
  • Data Preprocessing - Part 1 00:07:04
  • Data Preprocessing - Part 2 00:07:37
  • Model Selection 00:11:18
  • Evaluation 00:07:23
  • Presenting our Insights 00:05:48
  • Summary 00:05:13
  • Module 2 : Steps involved in a Data Science Project 00:00:00

  • Overview 00:02:33
  • Google Colaboratory - Getting Started 00:14:06
  • Google Colab - Basics 00:10:30

  • Python Basics - Synopsis 00:02:02
  • Python Basics 00:16:37
  • Basic Python Data Types 00:12:09
  • Basic Operators in Python 00:12:34
  • Special Data Types - list 00:15:47
  • Tuple, Set and Dictionary 00:16:44
  • If Statements 00:14:23
  • Loops 00:14:00
  • Module 4 : Python Basics 00:00:00
  • Assignment 1 - Python basics

  • Overview 00:02:08
  • Numpy Basics Part - 1 00:14:07
  • Numpy Basics Part - 2 00:11:35
  • Numpy Basics - Part 3 00:11:32
  • Pandas Basics - Part 1 00:06:43
  • Pandas Basics - Part 2 00:13:22
  • Other important Python Libraries 00:03:44
  • Module 5 : Numpy and Pandas Tutotial 00:00:00
  • Assignment 2 - Pandas and Numpy Tutorial

  • Data Collection - Overview 00:03:08
  • Getting the dataset - part 1 00:14:39
  • Getting the dataset - part 2 00:16:51
  • Importing Kaggle Dataset through API 00:15:06
  • Web Scrapping - Wikipedia Table 00:14:19
  • Summary 00:01:58
  • Assignment 3 - Data Collection

  • Data Visualization - Overview 00:03:25
  • Data Visualization - Example 00:12:40
  • Basic Plots - Matplotlib 00:21:57
  • Iris Dataset - Visualization 00:20:22
  • Titanic Dataset - Visualization 00:18:57
  • Module 7 : Data Visualization and Analysis 00:00:00
  • Assignment 4 - Data Visualization and Analysis

  • Data Preprocessing - Overview 00:04:07
  • Dataset Manipulation - Basics 00:26:41
  • Handling missing values - by Dropping 00:21:09
  • Handling missing values - by Imputation 00:11:40
  • Dataset Standardization 00:14:08
  • Label Encoding 00:10:39
  • Module 8: Data Pre-processing 00:00:00
  • Assignment 5 - Data pre-processing

  • Overview 00:01:56
  • AI vs ML vs DL 00:06:39
  • Machine Learning 00:06:46
  • Types of Machine Learning 00:09:25
  • Model Selection 00:11:18
  • 9.6. Logistic Regression model 00:10:16
  • Support Vector Machine model 00:07:04
  • Module 9 : Machine Learning - Basics 00:00:00

  • Data Science Projects - Overview 00:02:47
  • Breast Cancer Prediction - Overview 00:07:26
  • Breast Cancer Prediction - Logistic Regression - Part 1 00:29:29
  • Breast Cancer Prediction - Part 2 00:20:26
  • Iris Clustering 00:30:46
  • Spam mail prediction 00:33:29
  • Movie Recommendation System - Overview 00:05:45
  • Movie Recommendation System - Part 1 00:24:01
  • Movie Recommendation System - Part 2 00:26:57
  • Assignment 6 - Data Science projects

About the instructor

  • 5738 Reviews
  • 344 Students
  • 1 Courses
Hi! This is Siddhardhan S. I work in the field of Data Science and Machine Learning. I have 2+ years of experience in the field of Data Science & ML. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. Because of this motivation, I joined hands with Perfect Plan B to empower people with the state of the art Technologies of Data Science, Machine Learning & Artificial Intelligence.

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  • Fri, 21-May-2021
    Vaibhav Jajodiya
    This class was excellent--where have you been all my life? The instructor was incredibly knowledgeable and articulate. This was the first time I have taken a class in a remote format, and I was delighted with it and I will highly recommend this type of training to others. Thankyou


  • Sat, 05-Jun-2021
    Riyaash K
    Super

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Complete Data Science Course with Python

$289.00 423.00
₹21,150.00 31,150.00

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  • 75 Lessons
  • 00:00:00 Hours On demand videos
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  • Certificate of Completion
  • Approx. 3 Months to Complete
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  • No Prior Experience Required
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