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Internship Program: Data Science

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7 modules

English

Lifetime access

Turn Raw Data into Real Insights with Industry Tools.

Overview

Unlock your career in Data Science with IQmath Technologies’ immersive and industry-relevant online internship program. This self-paced, pre-recorded video-based internship is designed for students and aspiring professionals who want to build strong foundational and applied knowledge in Data Analytics, Visualization, and Machine Learning using the most in-demand tools and technologies.

Program Highlights

  • Duration: 1 Month (Self-paced with lifetime access to content)

  • Tools Covered:

    • Excel for Data Cleaning, Summarization & Dashboards

    • MySQL for Data Querying & Joins

    • Python with NumPy, Pandas, Matplotlib, Seaborn for Analysis & Visualization

    • Power BI for Business Dashboards and Reporting

    • Machine Learning (Scikit-learn) for Predictive Analytics

  • Capstone Project: End-to-end business case analysis using the Northwind Traders Dataset integrating all tools

What You Will Learn

  • Perform real-world data cleaning and preprocessing

  • Query and manipulate structured data using SQL

  • Analyze and visualize complex datasets in Python

  • Build interactive dashboards with Power BI

  • Apply ML algorithms like Regression, Classification, and Clustering

  • Interpret business problems and convert them into data solutions

Why Choose This Internship?

  • Designed and curated by industry experts with placement-oriented focus

  • Step-by-step tasks, with guided video explanations for every module

  • Hands-on experience with real datasets like HR Analytics, Retail Sales, and Northwind Traders

  • Certificate of Completion from IQmath Technologies

  • A powerful addition to your resume and LinkedIn profile

Modules

Datasets to Download

3 attachments

HR Analytics Data

Retail Sales Data

Northwind Traders Dataset

Excel

10 attachments • 19.34 mins

Task 1: Data Cleaning and Structuring

Excel: Upload your Task 1 Excel File

Task 2: Descriptive Statistics and Summarization

Excel: Upload your Task 2 Excel File

Task 3: Conditional Formatting and Insights Highlighting

Excel: Upload your Task 3 Excel File

Task 4: Pivot Tables and Advanced Data Summary

Excel: Upload your Task 4 Excel File

Task 5: Data Visualization using Excel Charts

Excel: Upload your Task 5 Excel File

MySQL

12 attachments • 19.51 mins

Task 1: Load HR Analytics Excel Data into MySQL Workbench

MySQL: Upload your Task 1 MySQL Script File

Task 2: Basic Filtering and Data Exploration

MySQL: Upload your Task 2 MySQL Script File

Task 3: Aggregation and Group Analysis

MySQL: Upload your Task 3 MySQL Script File

Task 4: Conditional Logic and Advanced Filtering

MySQL: Upload your Task 4 MySQL Script File

Task 5: Insightful Analysis Using Joins and Subqueries

MySQL: Upload your Task 5 MySQL Script File

Task 6: Mastering Joins and Window Functions on Retail Sales Dataset

MySQL: Upload your Task 6 MySQL Script File

Python with NPV

16 attachments • 30.81 mins

Task 1: Setup and Data Import using Pandas

Python: Upload your Task 1 Python Script File

Task 2: Data Cleaning and Preprocessing

Python: Upload your Task 2 Python Script File

Task 3: NumPy-based Statistical Analysis

Python: Upload your Task 3 Python Script File

Task 4: Filtering and Grouping using Pandas

Python: Upload your Task 4 Python Script File

Task 5: Exploratory Data Analysis (EDA)

Python: Upload your Task 5 Python Script File

Task 6: Correlation and Heatmap Analysis

Python: Upload your Task 6 Python Script File

Task 7: Attrition Analysis Dashboard

Python: Upload your Task 7 Python Script File

Task 8: Feature Engineering and Exporting Processed Data

Python: Upload your Task 8 Python Script File

Machine Learning

12 attachments • 11.16 mins

Task 1: Problem Formulation and Data Preparation

Machine Learning: Upload your Task 1 ML Script File

Task 2: Logistic Regression Model – Binary Classification

Machine Learning: Upload your Task 2 ML Script File

Task 3: Decision Tree Classifier – Model Explainability

Machine Learning: Upload your Task 3 ML Script File

Task 4: Random Forest with Feature Importance Analysis

Machine Learning: Upload your Task 4 ML Script File

Task 5: Model Evaluation and Cross-Validation

Machine Learning: Upload your Task 5 ML Script File

Task 6: Hyperparameter Tuning using GridSearchCV

Machine Learning: Upload your Task 6 ML Script File

Power BI

12 attachments

Task 1: Building the Data Model in Power BI

Power BI: Upload your Task 1 PBIX File

Task 2: Creating a Sales Performance Dashboard

Power BI: Upload your Task 2 PBIX File

Task 3: Customer Insights and Segmentation

Power BI: Upload your Task 3 PBIX File

Task 4: Inventory vs Sales Report

Power BI: Upload your Task 4 PBIX File

Task 5: Staff Performance Monitoring

Power BI: Upload your Task 5 PBIX File

Task 6: Creating an Executive Summary Dashboard

Power BI: Upload your Task 6 PBIX File

Final Capstone Project

2 attachments

Data-Driven Business Insights for Northwind Traders

Final Capstone Project: Upload your Final Task ZIP File

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

About the creator

About the creator

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