Data Analysis Internship – EGIT Internships

About Course

This Data Analysis Externship/Internship offers a hands-on learning experience designed to help participants master data analysis techniques, tools, and methodologies. Participants will work with real-world datasets and gain practical experience in data collection, cleaning, analysis, visualization, and reporting. This program is ideal for those interested in turning raw data into actionable insights for businesses or organizations.

Data Collection & Cleaning:
Learn to gather data from various sources (databases, APIs, web scraping).
Gain expertise in cleaning messy datasets for analysis (handling missing data, correcting data types, etc.).
Exploratory Data Analysis (EDA):
Perform initial investigations on datasets using descriptive statistics and visualization.
Use tools such as Python (Pandas, Numpy), Excel, or R to uncover patterns in data.
Data Visualization:
Master visualization techniques using tools like Tableau, Power BI, Matplotlib, or Seaborn.
Learn how to present data-driven insights to different stakeholders.
Statistical Analysis:
Understand and apply various statistical methods like hypothesis testing, correlation, and regression analysis.
Learn to derive meaningful conclusions from statistical outputs.
Predictive Modeling & Machine Learning (Optional):
Introduction to basic machine learning models (linear regression, decision trees, clustering).
Build predictive models using Python/R and understand how to evaluate their performance.
Reporting & Presentation:
Create professional reports summarizing findings and actionable insights.
Develop compelling presentations with data-driven stories for business stakeholders.
Tools & Technologies You Will Learn:
Python (Pandas, Numpy, Scikit-learn)
R (Optional)
SQL
Tableau / Power BI
Microsoft Excel
Jupyter Notebooks / Google Colab

Course Content

Introduction to Data Analysis
In today’s data-driven world, businesses rely on data analysis to make informed decisions. In this module, you’ll get a comprehensive introduction to data analysis, its importance, and how organizations like Elite Global AI can leverage data to drive business strategies

What Is Data Analytics? – An Introduction

09:00
Introduction to Data Analytics: A Beginner’s Guide

01:16:00
A Beginners Guide To The Data Analysis Process

10:46
Internship task

Data Collection and Cleaning
Data collection and cleaning are the first crucial steps in any data analysis process. This module will teach you how to gather data from multiple sources and ensure its accuracy and quality by cleaning it, which is essential for accurate analysis at Elite Global AI.

Exploratory Data Analysis (EDA)
Exploratory Data Analysis helps you understand the patterns and relationships in your data. This module will show you how to perform EDA using statistical methods and visualizations, which will allow you to discover useful insights for Elite Global AI.

Data Visualization
Data visualization allows you to communicate insights from your analysis effectively. This module will teach you how to create compelling visual representations of data that can be used to present key findings to stakeholders at Elite Global AI.

Statistical Analysis
Statistical analysis is essential for making inferences from data. In this module, you’ll learn to apply common statistical techniques to analyze and interpret data, which will help you deliver actionable insights for Elite Global AI.

Predictive Modeling and Machine Learning
Predictive modeling allows you to make forecasts based on historical data. This module will introduce basic machine learning models and how to use them for predictive analytics, which can help Elite Global AI make data-driven predictions.

Data Reporting and Communication
Being able to communicate your insights is just as important as conducting the analysis. This module will show you how to create clear, actionable reports that can inform decision-making at Elite Global AI.

Final Project
In this final module, you’ll apply everything you’ve learned in the course to complete a comprehensive data analysis project focused on benefiting Elite Global AI. This project will demonstrate your ability to collect, clean, analyze, visualize, and report on real-world data.

About Course

What Will You Learn?

Course Content

What Is Data Analytics? – An Introduction

Introduction to Data Analytics: A Beginner’s Guide

A Beginners Guide To The Data Analysis Process

Internship task

Data Collection and Cleaning Data collection and cleaning are the first crucial steps in any data analysis process. This module will teach you how to gather data from multiple sources and ensure its accuracy and quality by cleaning it, which is essential for accurate analysis at Elite Global AI.

Data Collection Overview

Data Cleaning Techniques

Excel-Based Data Cleaning

Advanced Data Cleaning with Excel

Internship task

Exploratory Data Analysis (EDA) Exploratory Data Analysis helps you understand the patterns and relationships in your data. This module will show you how to perform EDA using statistical methods and visualizations, which will allow you to discover useful insights for Elite Global AI.

Exploratory Data Analysis: Introduction

What is Exploratory Data Analysis (EDA)

Exploratory Data Analysis With Excel – Part 1

Internship Task

Data Visualization Data visualization allows you to communicate insights from your analysis effectively. This module will teach you how to create compelling visual representations of data that can be used to present key findings to stakeholders at Elite Global AI.

Introduction to Tableau and Power BI

Visualizations in Power BI – Full Tutorial

Tableau Dashboard: Creating Powerful Dashboards:

Tableau for Data Science and Data Visualization

Internship Task

Statistical Analysis Statistical analysis is essential for making inferences from data. In this module, you’ll learn to apply common statistical techniques to analyze and interpret data, which will help you deliver actionable insights for Elite Global AI.

Introduction to Correlation

Inferential Statistics Tutorial

Regression Analysis Full Course

Statistics Made Easy

Introduction to Correlation & Regression, Part 1

Internship Task

Predictive Modeling and Machine Learning Predictive modeling allows you to make forecasts based on historical data. This module will introduce basic machine learning models and how to use them for predictive analytics, which can help Elite Global AI make data-driven predictions.

Introduction to Simple Linear Regression:

Machine Learning in 1 Hour – Simple Linear Regression

Linear Regression Explained for Beginners

Internship Task

Data Reporting and Communication Being able to communicate your insights is just as important as conducting the analysis. This module will show you how to create clear, actionable reports that can inform decision-making at Elite Global AI.

How to Structure a Data Analysis Report

Data Storytelling: How to Tell a Story with Data

Mastering Data Visualization: A Comprehensive Guide to Creating Effective Graphs:

Data Visualization | The Ultimate Guide

internship Task

Final Project In this final module, you’ll apply everything you’ve learned in the course to complete a comprehensive data analysis project focused on benefiting Elite Global AI. This project will demonstrate your ability to collect, clean, analyze, visualize, and report on real-world data.

Comprehensive Guide to Data Analysis for Beginners

Data Analysis End-to-End Project for Portfolio STEP BY STEP

Data Analysis with Python – Full Course for Beginners

How to Build Your First Data Analytics Project

internship Task

Student Ratings & Reviews

Support

Data Collection and Cleaning
Data collection and cleaning are the first crucial steps in any data analysis process. This module will teach you how to gather data from multiple sources and ensure its accuracy and quality by cleaning it, which is essential for accurate analysis at Elite Global AI.

Exploratory Data Analysis (EDA)
Exploratory Data Analysis helps you understand the patterns and relationships in your data. This module will show you how to perform EDA using statistical methods and visualizations, which will allow you to discover useful insights for Elite Global AI.

Data Visualization
Data visualization allows you to communicate insights from your analysis effectively. This module will teach you how to create compelling visual representations of data that can be used to present key findings to stakeholders at Elite Global AI.

Statistical Analysis
Statistical analysis is essential for making inferences from data. In this module, you’ll learn to apply common statistical techniques to analyze and interpret data, which will help you deliver actionable insights for Elite Global AI.

Predictive Modeling and Machine Learning
Predictive modeling allows you to make forecasts based on historical data. This module will introduce basic machine learning models and how to use them for predictive analytics, which can help Elite Global AI make data-driven predictions.

Data Reporting and Communication
Being able to communicate your insights is just as important as conducting the analysis. This module will show you how to create clear, actionable reports that can inform decision-making at Elite Global AI.

Final Project
In this final module, you’ll apply everything you’ve learned in the course to complete a comprehensive data analysis project focused on benefiting Elite Global AI. This project will demonstrate your ability to collect, clean, analyze, visualize, and report on real-world data.