Course Overview

Transform raw data into actionable insights. This 4-month Data Science program equips you with the statistical knowledge and programming skills required to analyze large datasets and drive business decisions.

What You Will Learn

  • Data Exploration & Wrangling: Extracting, cleaning, and formatting data using Python (Pandas & NumPy).
  • Statistical Modeling: Understanding probability, distributions, hypothesis testing, and inferential statistics.
  • Data Visualization: Creating compelling visual narratives using Matplotlib, Seaborn, and introductory dashboarding.
  • SQL for Data Science: Querying databases to retrieve and aggregate data efficiently.

Real-time Capstone Project

You will conduct a full exploratory data analysis (EDA) on a large, messy dataset, build statistical models to identify trends, and present your findings through an interactive data dashboard.

Course Highlights

Duration
4 Months
Skill Level
Intermediate
Certification
Industry Recognized
Placement
100% Assistance

Frequently Asked Questions

The course covers Python, Pandas, NumPy, Matplotlib, Seaborn, and an introduction to SQL for data extraction.

Yes, professionals from business, finance, and marketing often take this course to leverage data analytics in their respective domains. We start from the basics.