Data Science - Live Project: Gain real-world, on-the-job experience

Work as a data scientist on 3 live projects each spanning ~8 weeks and stand out from the crowd, with a letter of recommendation from an industry expert. Enhance your technical proficiency and increase your employability, through our program inspired by the Team Data Science process devised by Microsoft

3 hands-on live projects mentored by industry experts

Operate in a real-world scenario & get a letter of recommendation

Learn to utilize industry-relevant tools

Duration

6 Months

Program Fee

Rs 12,999

Start Date

1 Apr 2025

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Why take up this course?

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Analytical Thinking

Formulate business-relevant questions and conduct thorough data analysis to provide actionable insights.

Data Management

Understand data preprocessing, handling missing values, and employing exploratory data analysis techniques to interpret findings effectively.

Presentation Skills

Prepare and present your final report, complete with visualizations and evidence-based conclusions, to decision-makers in the real estate sector.

Team Collaboration

You’ll work in small groups (4-6 learners), breaking down tasks into manageable parts, and engaging in peer learning to enhance your analytical skills.

Tools You Will Learn

Python libraries: NumPy, Pandas, and Data Visualization tools. Jupyter notebooks for coding and documentation

Data Science: Sprint Projects Syllabus

What will you learn?

Top-notch and up-to-date live projects taught by renowned industry experts using hands-on projects, and live sessions.

5-6

Months

Live Projects

Industry Expert Sessions

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Business Analysis & Data Preparation

7 weeks

1 Project

Business Analysis & Data Preparation

Focus: Identify key business questions and extract actionable insights.

Sample: Analyze real estate datasets (e.g., property prices, sales trends).

Data Cleaning & Advanced Visualization

8 weeks

1 Project

Data Cleaning & Advanced Visualization

Focus: Clean, prepare, and analyze data with dashboards and reports.

Sample: Analyze e-commerce data to understand customer purchase behaviors.

Machine Learning & Predictive Analysis

8 weeks

1 Project

Machine Learning & Predictive Analysis

Focus: Develop models to predict trends and solve business problems.

Sample: Use time series analysis to forecast sales for a retail chain, accounting for seasonal trends.

Letter of Recommendation

Earn valuable credentials and recognition

Secure a Letter of Recommendation from an industry expert to enhance your resume and profile, demonstrating your skills and professional value

Letter of Recommendation

Widely recognized and valued

Top Recruiters

Still have more questions?

Frequently Asked Questions

1. What is the focus of this data analysis program?

This program is designed to put you in the role of a Data Analyst or Data Scientist, where you'll work on real-world projects with small, dynamic teams. You'll be guided by expert mentors who act as both Project Managers and Product Owners, tackling business challenges from day one.

2. What kind of projects will I be working on?

You'll complete three live projects:

Project 1 (Weeks 1-6): Focuses on Python for Data Science with tools like Python, NumPy, and Pandas.
Project 2 (Weeks 7-12): Covers data analysis and visualization using Power BI, Excel, SQL, and Tableau.
Project 3 (Weeks 13-20): Involves machine learning, where you’ll develop and optimize models using Scikit-learn and stats models.

3. What skills will I learn in this program?

You’ll learn data cleaning, preprocessing, data visualization, SQL, Python programming, storytelling with data, and machine learning. Each project focuses on applying these skills to real business scenarios to help make you job-ready.

4. What tools will I be using?

This program covers popular tools used in data science and analytics, such as Python, NumPy, Pandas, Power BI, Excel, SQL, Tableau, Scikit-learn, and stats models.

5. How does this program prepare me for real-world roles?

By working in team-based, project-driven environments, you’ll simulate workplace scenarios where you collaborate, solve problems, and present insights to executives. This hands-on experience mirrors the demands of real Data Analyst and Data Scientist roles.

6. Will I learn how to present data insights to stakeholders?

Absolutely. Part of the program focuses on data storytelling, where you’ll practice presenting findings and creating dashboards in Power BI or Tableau, enabling you to communicate complex insights effectively to decision-makers.

7. What are the main areas of focus in each live project?

Project 1: Business understanding, data cleaning, and preprocessing.
Project 2: Advanced data analysis and visualization.
Project 3: Machine learning, model optimization, and predictive analysis.

8. Can you describe an example project?

Yes, one example is working with real estate data. You’ll clean and prepare datasets on property prices and sales trends, analyze the data using Python, and generate insights that would help a company understand market trends.

9. How will my work be evaluated?

Your work will be assessed through multiple checkpoints using rubrics, focusing on readiness, contextualization, visualizations, and preprocessing strategies, accounting for 100% of the final evaluation.

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Disclaimer

The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .