Advanced Analytics using Python

Overview

What you'll learn

Key concepts and practical areas covered in this workshop.

• 01Understand Data Analytics Workflow — From Data Collection to Insights
• 02Data Cleaning, EDA & Visualization using Python
• 03Statistical Analysis & Hypothesis Testing
• 04Machine Learning Models for Prediction
• 05Feature Engineering & Model Evaluation
• 06End-to-End Data Analytics Project with Real-world Dataset

Curriculum

Workshop curriculum

Review the topics covered in each module before sending an enquiry.

1. 01

   Foundations of Data Analytics

   2 weeks

   • Introduction to Data Analytics & Lifecycle
   • Data Types, Data Cleaning & Preprocessing
   • Exploratory Data Analysis (EDA)
   • Descriptive Statistics
   • Data Visualization Basics
   • Practical Understanding with Datasets
2. 02

   Statistical Analysis

   1 week

   • Probability Basics
   • Hypothesis Testing
   • Correlation & Covariance
   • Statistical Inference
3. 03

   Machine Learning for Analytics

   3 weeks

   • Supervised Learning (Regression, Classification)
   • Unsupervised Learning (Clustering)
   • Model Evaluation Metrics
   • Feature Engineering
   • Model Building with Real Data
4. 04

   Advanced Analytics & Projects

   2 weeks

   • EDA
   • Time Series Analysis Basics
   • Predictive Analytics
   • Dashboard Creation & Visualization
   • End-to-End Analytics Project
   • Insights & Business Decision Making

Before you begin

What you'll need

• Laptop with internet connection
• Basic logical thinking
• No prior AI experience needed