Q: 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.

Q: 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.

Question 1

What is the focus of this data analysis program?

Accepted Answer

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.

Question 2

What kind of projects will I be working on?

Accepted Answer

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.

Question 3

What skills will I learn in this program?

Accepted Answer

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.

Question 4

What tools will I be using?

Accepted Answer

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.

Question 5

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

Accepted Answer

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.

Question 6

Will I learn how to present data insights to stakeholders?

Accepted Answer

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.

Question 7

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

Accepted Answer

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

Question 8

Can you describe an example project?

Accepted Answer

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.

Question 9

How will my work be evaluated?

Accepted Answer

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.

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

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Why take up this course?

Data Science: Sprint Projects Syllabus

Business Analysis & Data Preparation

Data Cleaning & Advanced Visualization

Machine Learning & Predictive Analysis

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