Data Science & Analytics Training & Internship (4 Months): Real-World Data Analysis & Business Intelligence Projects

Data Science & Analytics Training & Internship (4 Months): Real-World Data Analysis & Business Intelligence Projects

1. Description

The Data Science & Analytics is a comprehensive, hands-on Training & Internship  designed to help learners master data analysis, statistical modeling, visualization, and business decision-making using real-world datasets.

Participants work on industry-oriented data projects, gaining practical experience in data cleaning, exploratory data analysis (EDA), statistical analysis, machine learning for analytics, dashboards, and reporting.

This program follows MetaTaaraka™ AI TrainX’s “Learn by Doing” philosophy and is completely self-paced, with structured project-based learning materials including:

Each Project Includes

• Overview

• Business Problem Statement

• Data Understanding

• Step-by-step Approach

• Algorithms / Statistical Methods

• Dataset (csv)

• Flowcharts

• Fully coded program

• Line-by-line code explanation

• Environment setup

• Expected outputs

• 10 real business use-cases

• 10 enhancement tasks

2. Purpose

• To prepare learners for Data Scientist, Data Analyst, and Business Analyst roles

• To provide real-world, project-based experience in data handling and analytics

• To bridge the gap between theoretical statistics and real business insights

• To train learners in data-driven decision-making

3. Values

• Hands-on Analytics: Learn by analyzing real datasets

• Business Relevance: Projects based on real industry problems

• Clarity & Simplicity: Beginner-friendly, step-by-step explanations

• Data-Driven Thinking: Turning raw data into insights

• Quality & Structure: Well-documented, reusable analytics workflows

4. Mission

To empower learners with job-ready data science and analytics skills, enabling them to extract insights, tell stories with data, and support business decisions confidently.

5. Vision

To become India’s most practical and trusted Data Science & Analytics skill provider, delivering real-world analytics experience to learners everywhere.

6. Cost

₹19,999 (One-time subscription)

Includes Access To

• All 15 industry-oriented projects

• Auto-graded assessments

• Portfolio-ready case studies

7. Assessments

Each project includes:

• 10 MCQs

  • Data understanding

  • Statistical concepts

  • Code interpretation

  • Business insights

• Auto-graded inside MetaTaaraka™ AI TrainX

8. Certificate

Data Science & Analytics Training & Internship Certificate Issued by MetaTaaraka™ AI Innovations Pvt. Ltd.

Certificate includes:

• Student Name

•  Certificate Title

• Unique Verification ID

9. What Will Trainee Learn?

By the end of this Training, learners will be able to analyze datasets, build predictive analytics models, visualize insights, and communicate results like professional data analysts and data scientists.

Modules Covered

1. Python for Data Science

• Python fundamentals

• NumPy, Pandas

• Data manipulation & cleaning

• Handling large datasets

2. Data Analysis & EDA

• Descriptive statistics

• Missing value handling

• Outlier detection

• Data distributions

• Correlation analysis

3. Data Visualization & Storytelling

• Matplotlib, Seaborn

• Plotly

• Dashboards

• Business reporting

• Insight-driven storytelling

4. Statistics for Data Analytics

• Probability

• Hypothesis testing

• A/B testing

• Confidence intervals

• Statistical inference

5. Machine Learning for Analytics

• Linear & Logistic Regression

• Decision Trees

• Random Forest

• KNN

• Clustering (K-Means, Hierarchical)

• Model evaluation metrics

6. SQL & Data Querying

• SQL fundamentals

• Joins, subqueries

• Aggregations

• Window functions

• Analytics use-cases

7. Business & Domain Analytics

• KPI analysis

• Customer segmentation

• Churn analysis

• Sales & revenue forecasting

• Risk & performance analysis

8. Data Science Project Deployment

• Jupyter-based reporting

• Streamlit dashboards

• Exporting insights for stakeholders

• End-to-end analytics pipelines

10. Industry-Level Project Execution

Projects are based on real datasets from multiple industries, including:

• Healthcare Analytics

• Finance & Banking Analytics

• Retail & E-commerce Analytics

• Marketing & Customer Analytics

• HR & Workforce Analytics

• Supply Chain & Operations Analytics

• Social Media & Sentiment Analytics

Each project includes expected outputs, insights, KPIs, and improvement tasks

11. Assessments & Confidence Building

• 10 MCQs per project

• Concept validation

• Code comprehension

• Business insight interpretation

12. Portfolio & Career Readiness

• 15 complete Data Science & Analytics projects

• Portfolio-ready Jupyter notebooks & dashboards

• Job-ready analytics skills

13. Who Should Join?

This training is suitable for learners from all academic backgrounds:

• Engineering & Technology Students

• Computer & IT Students

• Science & Mathematics Students

• Commerce, Economics & Management Students

• Data Analyst & Data Scientist aspirants

• Working professionals & career switchers

• Entrepreneurs, startup teams & researchers

14. Why This training Appeals to All

• Completely self-paced

• No prior coding experience required

• Real-world business datasets

• Step-by-step analytics guidance

• Strong portfolio for placements

• Industry-recognized certification

15. Requirements / Instructions

Basic Requirements

• Laptop/Desktop (4 GB RAM minimum, 8 GB recommended)

• Windows/macOS/Linux

• 20 GB free storage

• Stable internet (≥2 Mbps)

• Basic computer knowledge

Software Requirements

• Python 3.8+

• Jupyter Notebook / VS Code

• Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn

• SQL (SQLite/MySQL) and many more..

• Web browser

16. Learning Instructions

• Self-paced learning (24/7 access)

• Follow project sequence

• Each project includes:

  • Overview

  • Business Problem Statement

  • Data Understanding

  • Step-by-step Approach

  • Algorithms / Statistical Methods

  • Dataset (csv)

  • Flowcharts

  • Fully coded program

  • Line-by-line code explanation

  • Environment setup

  • Expected outputs

  • 10 real business use-cases

  • 10 enhancement tasks

17. Assessment Instructions

• 10 MCQs per project

• Passing score: 80%

• Unlimited attempts

• Required to unlock next project

18. Project Submission Guidelines

•  Code, Run, modify, and experiment with code

• No plagiarism

• Content cannot be downloaded or copied

• Auto-evaluated assessments

19. Support & Community

• 24/7 email & portal support

• Discussion forums

• Peer learning

• Ethical learning & originality encouraged

20.  Certification – Schedule

Week	Project & Assessment
Week 1	Project 1 + Assessment 1
Week 2	Project 2 + Assessment 2
Week 3	Project 3 + Assessment 3
Week 4	Project 4 + Assessment 4
Week 5	Project 5 + Assessment 5
Week 6	Project 6 + Assessment 6
Week 7	Project 7 + Assessment 7
Week 8	Project 8 + Assessment 8
Week 9	Project 9 + Assessment 9
Week 10	Project 10 + Assessment 10
Week 11	Project 11 + Assessment 11
Week 12	Project 12 + Assessment 12
Week 13	Project 13 + Assessment 13
Week 14	Project 14 + Assessment 14
Week 15	Project 15 + Assessment 15
Week 16	Revision & Portfolio Enhancement