Data Science Course Mastery : From Zero To Hero

4.4 ★★★★ ★

Data Science Course Mastery : From Zero To Hero

Name: Data Science Mastery: From Beginner to Pro - Online Course
Rating: 4.4 (123 reviews)
Author: Arunnachalam Shanmugaraajan

Master Data Science with Python – From Basics to Advanced Concepts

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Arunnachalam Shanmugaraajan

category icon Development ,Data Science,Python

Lectures -24

Duration -59 mins

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4.4 ★★★★ ★

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Course Description

Data Science Course Mastery : From Zero To Hero

Discover the abilities that drive today's most successful professions by delving into the world of data. The fundamentals of data science are covered in this approachable course for beginners, which also covers more complex ideas like machine learning and data visualization. You'll discover how to use Python, NumPy, Pandas, Matplotlib, Scikit-learn, and other tools to analyze, visualize, and forecast data. Gaining practical experience through guided learning, real-world datasets, and hands-on projects will help you get ready for a career in data science or a similar field.

Goals

Course Goals

Understand the complete Data Science lifecycle
Learn Python for data analysis and scientific computing
Work with libraries like NumPy, Pandas, Matplotlib, and Seaborn
Clean, explore, and visualize data effectively
Apply machine learning models using Scikit-learn
Build real-world data science projects from scratch
Gain confidence to apply for data analyst or data science roles

Prerequisites

Course Prerequisites:

No prior programming or data science knowledge required
Basic high school-level math knowledge is helpful
A computer with internet access
Willingness to learn and practice

Data Science Course Mastery : From Zero To Hero

Curriculum

Check out the detailed breakdown of what’s inside the course

Data Science Mastery: From Beginner to Pro

24 Lectures

DataScience Course Introduction 03:36 03:36
Numpy Course Introduction 02:35 02:35
Numpy class 1 : Install Package 01:33 01:33
Numpy class 2 : Arrays In Numpy 03:40 03:40
Numpy class 3 : Datatype in Numpy 02:14 02:14
Numpy class 4 : Ndim Function 01:01 01:01
Numpy class 5 : Ndmin Function 01:41 01:41
Numpy class 6 : Nditer Function 02:48 02:48
Numpy class 7 : Concat Function 01:26 01:26
Numpy class 8 : Additional Functions 08:59 08:59
Pandas Class 1 : Install Package 02:47 02:47
Pandas Class 2 : Info Function 01:03 01:03
Pandas Class 3 : Head and Tail Function 02:49 02:49
Pandas Class 4 : Duplicate Function 02:08 02:08
Pandas Class 5 : DropNa Function 02:29 02:29
Pandas Class 6 : FillNa Function 01:19 01:19
Pandas Class 7 : Replace Function 02:05 02:05
Matplotlib Class 1 : Install Package 02:36 02:36
Matplotlib Class 2 : Show Function 01:27 01:27
Matplotlib Class 3 : Title Function 01:08 01:08
Matplotlib Class 4 : Xlabel and Ylabel Function 01:32 01:32
Matplotlib Class 5 : Marker Function 02:38 02:38
Matplotlib Class 6 : LineStyle Function 02:16 02:16
Matplotlib Class 7 : Barplot 03:49 03:49

Instructor Details

Arunnachalam Shanmugaraajan

Guiding Students to Excellence in Life

Hi, I'm Arunnachalam R S from India — a Computer Science graduate with a strong passion for Cybersecurity and emerging technologies. I’ve chosen cybersecurity as my professional domain and am deeply committed to staying ahead in this ever-evolving field.
As a tech educator, I enjoy sharing my knowledge about the latest technological advancements, security practices, and innovations in science and IT. My mission is to simplify complex concepts and help learners of all levels gain practical skills they can apply in real-world scenarios.
I’m excited to be part of the TutorialsPoint platform, where I can express my passion for technology, contribute to the global learning community, and empower others through quality education.

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