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Data science

This Data Science course is designed to equip learners with the essential skills and tools needed to become proficient in solving data-driven problems across industries. From data collection to machine learning deployment, the course covers every critical aspect to help students build a strong foundation and hands-on expertise.

Course Instructor: Venu

₹9999.00 ₹14999.00 33% OFF

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Course Overview

🧹 Data Collection and Preparation

  • 📥 Master data gathering techniques from various sources

  • 🧼 Clean and preprocess data using Python and Pandas

  • 🧾 Handle missing values, outliers, and categorical variables


📊 Exploratory Data Analysis and Visualization

  • 📈 Perform statistical analysis to uncover patterns

  • 🎨 Visualize data using Matplotlib, Seaborn, and Plotly

  • 🔍 Extract actionable insights from datasets


🤖 Machine Learning Algorithms

  • 📚 Apply algorithms for regression and classification

  • 🧠 Perform feature engineering to enhance model performance

  • 🎯 Use ensemble learning and model tuning for optimization


🏭 Industry Applications and Emerging Trends

  • 🌐 Explore how data science is applied across industries (finance, healthcare, retail, etc.)

  • 🚀 Stay updated on the latest tools, technologies, and trends

  • 💼 Understand real-world case studies and business impact

Schedule of Classes

Course Curriculum

1 Subject

Module 1: Data Fundamentals

18 Learning Materials

Session 1: Getting Started

INTRODUCTION

Video
00:26:51

TOOLS & TECHNOLOGIES

Video
00:25:26

WHAT IS DATA

Video
00:15:20

DATA PRE-PROCESSING

Video
00:24:09

Session 2:

DATA VISUALISATION

Video
00:17:48

EXPLORATORY DATA ANALYSIS

Video
00:16:11

DATA VISUALISATION TECHNIQUES

Video
00:24:13

CORRELATION

Video
00:11:20

Session 3

SUPERVISED LEARNING - (REGRESSION & CLASSIFICATION)

Video
00:23:43

UNSUPERVISED LEARNING - (CLUSTERING - METHODS & MODELS)

Video
00:17:17

Session 4:

FEATURE SELECTION & CAREGORICAL VARIABLES

Video
00:16:25

LINEAR REGRESSION

Video
00:14:21

LOGISTIC REGRESSION

Video
00:13:49

K - NEAREST NEIGHBOUR (KNN)

Video
00:12:51

SUPPORT VECTOR MACHINE (SVM)

Video
00:14:17

Session 5:

RANDOM FOREST CLASSIFIER

Video
00:20:19

DL - DEEP LEARNING - PART 1

Video
00:28:27

DL - DEEP LEARNING - PART 2

Video
00:23:12

Course Instructor

tutor image

Venu

10 Courses   •   3984 Students