Why this course?

Description

structured roadmap for students participating in a Data Analytics and Visualization Tools internship. Covering Python programming, statistical methods, Tableau, Power BI, Excel analysis, and real-world case studies, it equips learners with practical skills required in business intelligence and data-driven roles.

Objectives

• By the end of this chapter, students will be able to:
• Analyze and manipulate data using Python and relevant libraries.
• Build insightful visualizations using Tableau and Power BI.
• Apply Excel functionalities for business analysis.
• Conduct case studies and deliver analytical solutions.
• Compile professional internship reports based on real-world projects.

Section 1: Module Overview and Assignments

Module 1: Python Data Analytics

Python Basics – Data types, operators, loops

• Downloadable: Python Basics | Day 1 Assignment

Data Structures in Python – Lists, Tuples, Dictionaries

• Downloadable: Python Data Structures | Day 2 Assignment

Python Programming Fundamentals – Functions, OOP, File Handling

• Downloadable: Python Fundamentals | Day 3 Assignment

Pandas for Data Analysis – Series, DataFrames, Data Cleaning

• Downloadable: Pandas Basics | Day 4 Assignment

NumPy – Array operations, indexing, broadcasting

• Downloadable: NumPy Essentials | Day 5 Assignment

Matplotlib – Data visualization, plots, charts

• Downloadable: Matplotlib | Day 6 Assignment

Seaborn – Statistical data visualization

• Downloadable: Seaborn | Day 7 Assignment

Module 2: Data Visualization with Tableau

Introduction to Tableau

• Downloadable: Introduction | Day 8 Assignment

Bins and Calculated Fields

• Downloadable: Tableau Calculations | Day 9 Assignment

Creating Visualizations

• Downloadable: Tableau Visualization | Day 10 Assignment

Joins in Tableau

• Downloadable: Tableau Joins | Day 11 Assignment

Covid-19 Dashboard Project

• Downloadable: Full Tableau Project

Module 3: Data Visualization with Power BI

Introduction and Setup

• Downloadable: Power BI Basics | Day 12 Assignment

Power Query Editor & Relationships

• Downloadable: Query Editor and Relationships | Day 13 Assignment

New Measures and Columns

• Downloadable: DAX Measures and Columns

Conditional Formatting, Bins, and Lists

• Downloadable: Formatting in Power BI

Popular Power BI Visuals

• Downloadable: Visualization Techniques | Day 14 Assignment

HR Data Analytics Project

• Downloadable: Power BI HR Project

Module 4: Statistics & Probability

Statistics & Probability (Parts I–III)

• Downloadables: All Parts (1, 2, 3)

Module 5: Microsoft Excel for Data Analysis

Pivot Tables and Formatting

• Downloadables: Pivot Tables | Formatting | Day 15–16 Assignments

Sorting, Filtering, Grouping

• PPT + Assignment: Day 16

Calculated Fields and Formulas

• Downloadables: Calculated Items, Solver | Day 17 Assignment

Pivot Chart Visualization

• PDF + Assignment: Day 18

Module 6: Case Studies and Projects

Salary Data Analysis

• Downloadable: Salary Data Case Study

Stock Market Analysis

• Downloadable: Stock Market Case Study

Weather Data Analysis

• Downloadable: Daily Weather Case Study

Section 2: Capstone Projects

Project 1: Train-Test Split Model

Objective: Use Python and ML libraries to split data for modeling.

• Downloadable + Assignment 20

Project 2: Credit Score Classification

Objective: Predict credit risk using classification models.

• Downloadable + Assignment 21

Project 3: Stress Prediction Using ML

Objective: Predict individual stress levels based on behavioral data.

• Downloadable + Assignment 21

Section 3: Internship Report Guidelines

Report Structure

Title Page

• Student details, mentor, project title

Abstract

• One-paragraph summary

Introduction

• Scope and purpose of the internship

Modules Covered

• Summary of tools and techniques

Case Studies and Projects

• Problem, implementation, outcomes

Insights and Learnings

• Tools mastered, challenges overcome

Conclusion

• Future applications of skills

References

• Cited datasets, libraries, documentation

Appendices

• Screenshots, code samples, charts