Data Science & Analytics 4.8 Rating

Data Analytics

A comprehensive 21-days Data Analytics Internship Program designed to equip learners with industry-relevant skills in data analysis, visualization, business intelligence, and predictive analytics. Participants will gain hands-on experience with real-world datasets, develop interactive dashboards, perform exploratory data analysis, and build machine learning models using industry-standard tools such as Python, SQL, Tableau, and Power BI.

3 Weeks Duration Online Recorded
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About This Program

The Data Analytics Internship Program is an intensive 84-hour online learning experience that takes learners from foundational concepts to advanced analytical techniques. The program covers the complete analytics lifecycle, including data collection, cleaning, transformation, visualization, business intelligence reporting, predictive modeling, and storytelling with data. Through hands-on assignments, mini-projects, dashboard development exercises, and a final capstone project, participants gain practical exposure to solving real business problems. Learners will work with industry datasets from domains such as retail, finance, healthcare, human resources, and marketing. The curriculum is designed to help students and professionals build a strong analytics portfolio and prepare for roles such as Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, and Junior Data Scientist.

What You Will Learn

Understand the Data Analytics lifecycle
Perform data cleaning and preprocessing
Apply statistical analysis techniques
Work with Python, NumPy, and Pandas
Conduct Exploratory Data Analysis (EDA)
Create professional data visualizations
Write analytical SQL queries
Design business KPIs and metrics
Build dashboards using Tableau
Develop reports in Power BI
Apply machine learning algorithms
Perform regression and classification analysis
Create customer segmentation models
Forecast trends using time-series analysis
Optimize predictive models
Present insights using data storytelling
Build end-to-end analytics projects
Create a professional analytics portfolio

Technologies & Tools

•Python
•NumPy
•Pandas
•Jupyter Notebook
•SQL
•MySQL
•Tableau
•Power BI
•Excel
•Matplotlib
•Seaborn
•Scikit-learn
•GitHub
•Power Query
•DAX

What You Will Get

•Certificate of Completion
•30-Day Internship Experience
•Hands-on Assignments
•EDA Project
•SQL Analytics Project
•Interactive Tableau Dashboard
•Power BI Dashboard
•Predictive Analytics Project
•Capstone Project
•Industry-Ready Resume Project
One-time Payment

₹2,000

₹4,999

This Course Includes:

Lifetime Access
Access on Mobile & TV
Certificate of Completion

Course Curriculum

Module 01

ORIENTATION, FOUNDATION & EDA

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 1: Orientation — What is Data Analytics? Link
Day 2: Data Types, Structures & Lifecycle Link
Day 3: Statistics Fundamentals for Analytics Link
Day 4: Python for Data Analytics + Data Wrangling PDF
Day 5: Exploratory Data Analysis (EDA) Link
Day 6: Data Visualization with Matplotlib & Seaborn Link
Day 7: SQL for Data Analytics Link
Module 02

DATA VISUALIZATION & DASHBOARDS

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 8: Advanced SQL + Business Metrics & KPI Design Link
Day 9: Introduction to Tableau Link
Day 10: Topic Name Link
Day 11: Power BI Fundamentals Link
Day 12: Advanced Power BI & DAX Link
Day 13: Storytelling with Data Link
Day 14: Introduction to Predictive Analytics & ML Link
Module 03

PREDICTIVE ANALYTICS, ML & CAPSTONE PROJECT

Mastering the core fundamentals and advanced techniques in this module to build a strong foundation for your career.

7+ Lessons
Flexible
Day 15: Regression Analysis Link
Day 16: Classification Models Link
Day 17: Clustering, Segmentation & Time Series Forecasting Link
Day 18: Feature Engineering & Model Optimization Link
Day 19: Capstone Project Setup — Domain Selection, Data & EDA Sprint Link
Day 20: Analysis, Modeling & Visualization Build Link
Day 21: Presentation Preparation & Final Presentations Link
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Frequently Asked Questions

Everything you need to know about the program.

This is a 30-day online Data Analytics Internship designed to provide practical skills in analytics, visualization, SQL, Python, and machine learning.

Students, graduates, working professionals, and career switchers interested in data analytics can enroll.

No. The program starts with fundamentals and gradually progresses to advanced concepts.

Yes, the program is conducted entirely online.

The internship runs for 30 days with approximately 4 learning hours per day.

Yes, participants who successfully complete the program will receive a Certificate of Completion.

You will learn Python, SQL, Tableau, Power BI, Excel, Pandas, NumPy, Scikit-learn, and GitHub.

Yes, the program includes multiple assignments, mini-projects, dashboards, and a final capstone project.

Yes, learners will complete a capstone project that can be showcased in their professional portfolio.

The program provides industry-relevant skills and projects that can strengthen your profile for Data Analyst and related roles.

Yes, the curriculum includes regression, classification, clustering, forecasting, and model optimization.

Yes, learners can access recorded content and learning materials as provided by the training team.

The current fee is ₹0 as listed, with an original value of ₹14,999.

Yes, learners receive guidance, project reviews, and feedback throughout the internship.

Projects may include Retail, Finance, Healthcare, Human Resources, Marketing, and E-commerce datasets.

Confirm Details

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