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.
₹9999.00 ₹14999.00 33% OFF
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Course Overview
🧹 Data Collection and Preparation
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📥 Master data gathering techniques from various sources
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🧼 Clean and preprocess data using Python and Pandas
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🧾 Handle missing values, outliers, and categorical variables
📊 Exploratory Data Analysis and Visualization
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📈 Perform statistical analysis to uncover patterns
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🎨 Visualize data using Matplotlib, Seaborn, and Plotly
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🔍 Extract actionable insights from datasets
🤖 Machine Learning Algorithms
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📚 Apply algorithms for regression and classification
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🧠 Perform feature engineering to enhance model performance
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🎯 Use ensemble learning and model tuning for optimization
🏭 Industry Applications and Emerging Trends
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🌐 Explore how data science is applied across industries (finance, healthcare, retail, etc.)
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🚀 Stay updated on the latest tools, technologies, and trends
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💼 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
TOOLS & TECHNOLOGIES
WHAT IS DATA
DATA PRE-PROCESSING
Session 2:
DATA VISUALISATION
EXPLORATORY DATA ANALYSIS
DATA VISUALISATION TECHNIQUES
CORRELATION
Session 3
SUPERVISED LEARNING - (REGRESSION & CLASSIFICATION)
UNSUPERVISED LEARNING - (CLUSTERING - METHODS & MODELS)
Session 4:
FEATURE SELECTION & CAREGORICAL VARIABLES
LINEAR REGRESSION
LOGISTIC REGRESSION
K - NEAREST NEIGHBOUR (KNN)
SUPPORT VECTOR MACHINE (SVM)
Session 5:
RANDOM FOREST CLASSIFIER
DL - DEEP LEARNING - PART 1
DL - DEEP LEARNING - PART 2
Course Instructor
Venu
5 Courses • 3828 Students
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