FutureX by Techrays Labs
REGISTER NOW
Want to increase your social presence? Join our upcoming session to learn from our expert.

15 Days Data Analytics Training & Internship

Categories: Training & Internship
Wishlist Share

About Course

The 15-Days Data Analytics Internship is a practical, industry-oriented program designed to introduce students and aspiring professionals to the world of data analysis. Throughout this internship, participants will learn how to collect, clean, analyze, visualize, and interpret data to support informed business decisions.

Starting with the fundamentals of data analytics, learners will progressively explore Excel, SQL, Python, data visualization tools, and basic statistical concepts used by organizations across industries. Through hands-on exercises, real-world datasets, and guided projects, participants will gain practical experience in solving business problems using data.

By the end of the internship, students will have completed a portfolio-ready analytics project and developed the confidence to work with data in professional environments.

🚀 What This Internship Covers

During this internship, you will learn:

  • Introduction to Data Analytics and the Data Analytics Lifecycle
  • Data Collection, Cleaning, and Preparation Techniques
  • Microsoft Excel for Data Analysis and Reporting
  • SQL Fundamentals for Querying and Managing Databases
  • Python Basics for Data Analysis using Pandas and NumPy
  • Exploratory Data Analysis (EDA)
  • Data Visualization using Matplotlib and Seaborn
  • Business Metrics and Key Performance Indicators (KPIs)
  • Basic Statistics for Data Analysis
  • Dashboard Creation and Data Storytelling
  • Working with Real-World Business Datasets
  • Best Practices for Data-Driven Decision Making
  • End-to-End Analytics Project Development

🧠 Learning Approach

This internship follows a learn-by-doing methodology, ensuring students gain practical experience alongside theoretical knowledge. Each module includes easy-to-understand explanations, guided demonstrations, coding exercises, assignments, quizzes, and mini projects that reinforce key concepts.

Participants will work with realistic datasets to perform data cleaning, analysis, visualization, and reporting. Throughout the internship, students will progressively build their analytical thinking and problem-solving skills while learning industry-standard tools and workflows used by data analysts.

The program concludes with a comprehensive capstone project that simulates a real business analytics scenario, helping students apply everything they have learned in a practical setting.

🏆 Skills You Will Gain

After successfully completing this internship, you will be able to:

  • Understand the complete data analytics workflow
  • Collect, clean, and prepare datasets for analysis
  • Analyze data using Microsoft Excel, SQL, and Python
  • Write SQL queries to retrieve and manipulate data
  • Perform Exploratory Data Analysis (EDA)
  • Create insightful charts and dashboards
  • Interpret business data to support decision-making
  • Apply basic statistical concepts in analytics
  • Generate professional reports and visualizations
  • Work confidently with real-world datasets
  • Present analytical findings using effective data storytelling
  • Build a portfolio-ready data analytics project

🎯 Who This Internship is For

This internship is ideal for:

  • Undergraduate and postgraduate students
  • Beginners interested in Data Analytics
  • Computer Science, IT, Engineering, Commerce, and Management students
  • Aspiring Data Analysts and Business Analysts
  • Fresh graduates seeking practical industry exposure
  • Professionals looking to transition into analytics roles
  • Anyone interested in learning how data drives business decisions
  • Learners with little or no prior programming experience

No prior experience in data analytics is required. The internship is designed to help beginners build a strong foundation before progressing to more advanced analytics concepts.

💼 Internship Outcome

Upon successful completion of the 15-Days Data Analytics Internship, participants will have gained practical experience in analyzing, visualizing, and interpreting data using widely adopted industry tools and techniques.

Students will complete a real-world capstone project that demonstrates their ability to solve business problems using data, making it a valuable addition to their professional portfolio. They will also develop the confidence to work with datasets, create meaningful reports and dashboards, and communicate insights effectively.

By the end of the internship, learners will be well-prepared for entry-level opportunities in Data Analytics, Business Analytics, Reporting, Data Visualization, and related fields, while also building a strong foundation for advanced learning in Data Science and Artificial Intelligence.

Show More

Course Content

Module 1: Foundations of Data Analytics & Excel Essentials
Data Analytics is one of the fastest-growing fields across industries, helping organizations make informed decisions based on data rather than assumptions. This module introduces learners to the core concepts of data analytics, the analytics lifecycle, and the importance of data-driven decision-making in business. Students will gain hands-on experience with Microsoft Excel, one of the most widely used tools for organizing, cleaning, and analyzing datasets. Throughout this module, learners will understand different types of data, the responsibilities of a data analyst, and how raw business data is transformed into meaningful insights. They will learn essential Excel functions, formulas, sorting, filtering, conditional formatting, PivotTables, and charts that are commonly used in organizations. By the end of this module, students will be able to confidently explore datasets, perform basic analysis, summarize information, and create simple reports. These foundational skills prepare learners for more advanced analytics tools like Python, SQL, and Power BI in the upcoming modules.

  • Lesson 1: Introduction to Data Analytics
  • Lesson 2: Data Types, Data Sources & Analytics Process
  • Lesson 3: Microsoft Excel for Data Analytics
  • Lesson 4: Data Visualization Basics in Excel
  • Data Analytics Fundamentals & Excel Basics Assessment
  • Sales Performance Analysis Using Excel

Module 2: Data Cleaning, Analysis & Visualization using Python (Pandas & Matplotlib)
In real-world organizations, data rarely arrives in a perfect format. Most datasets contain missing values, duplicate records, inconsistent formatting, incorrect data types, and other quality issues that can lead to inaccurate analysis. Before any meaningful insights can be generated, analysts must clean and prepare the data. This module introduces learners to Python, one of the most popular programming languages for data analytics, along with Pandas for data manipulation and Matplotlib for visualization. Students will learn how to install Python, work in Jupyter Notebook, understand Python fundamentals, import datasets, clean and transform data using Pandas, perform exploratory data analysis (EDA), calculate summary statistics, group data, and generate professional visualizations. They will also understand how Python automates repetitive analytical tasks that would otherwise be time-consuming in spreadsheets. By the end of this module, learners will confidently use Python to clean raw datasets, analyze business information, and create meaningful charts for decision-making. These skills form the foundation for advanced analytics and business intelligence projects.

Module 3: SQL for Data Analytics & Business Insights
Structured Query Language (SQL) is one of the most essential skills for every data analyst. Almost every organization stores business information such as customers, sales, employees, inventory, and financial transactions in relational databases. SQL enables analysts to retrieve, filter, manipulate, summarize, and analyze this data efficiently without manually searching through spreadsheets. In this module, students will learn the fundamentals of relational databases, understand database tables and relationships, and write SQL queries to extract meaningful business insights. Learners will explore filtering, sorting, grouping, aggregate functions, joins, subqueries, and basic database optimization techniques. They will also understand how SQL integrates with visualization tools and business intelligence platforms. By the end of this module, learners will be able to query business databases, generate reports, combine information from multiple tables, and answer real-world business questions using SQL. These skills are highly demanded in roles such as Data Analyst, Business Analyst, Reporting Analyst, and BI Developer.

Module 4: Capstone Project – Retail Sales & Business Performance Analytics Dashboard
The final module is a comprehensive capstone project that brings together all the concepts learned throughout the internship. Students will work as Junior Data Analysts and solve a real-world business problem using industry-standard tools and techniques. The project simulates a professional analytics assignment where raw sales data must be cleaned, analyzed, stored, queried, visualized, and presented to stakeholders. Learners will begin by understanding the business problem, collecting and preparing the dataset, cleaning inconsistencies using Python and Pandas, storing data in a SQL database, performing business analysis using SQL queries, and finally creating an interactive dashboard to present insights. Throughout the project, emphasis is placed on data quality, business thinking, documentation, and presentation skills. By completing this capstone project, students will gain practical experience that mirrors real workplace scenarios. The completed project can be added to a professional portfolio, showcased during interviews, and used to demonstrate analytical thinking, technical skills, and business problem-solving abilities.

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet