📘 Course Details

🚀 Data Science Career Booster Course (45 Days | 6.5 Weeks)

📘 Program Overview

A career-focused, fast-track data science program designed for beginners and aspiring professionals. The course covers Python, statistics, data analysis, visualization, and basic machine learning, along with hands-on mini projects to prepare learners for entry-level data science roles.

📚 45-Day Detailed Syllabus (6.5 Weeks)

🔹 Week 1 – Introduction to Data Science

• Overview of Data Science & Career Opportunities

• Understanding Data Types & Data Structures

• Introduction to Python for Data Science

• Mini Project: Basic Data Handling & Exploration

🔹 Week 2 – Python Fundamentals

• Variables, Data Types & Operators

• Lists, Tuples, Dictionaries & Sets

• Loops & Conditional Statements

• Functions & Basic Python Libraries

• Mini Project: Python Mini Data Project

🔹 Week 3 – Data Analysis & Visualization

• NumPy for Numerical Computing

• Pandas for Data Handling & Analysis

• Data Cleaning & Preprocessing Techniques

• Data Visualization with Matplotlib & Seaborn

• Mini Project: Exploratory Data Analysis (EDA) Project

🔹 Week 4 – Statistics for Data Science

• Descriptive Statistics: Mean, Median, Mode, Standard Deviation

• Probability Basics & Distributions

• Correlation & Covariance

• Mini Project: Statistical Analysis of Sample Dataset

🔹 Week 5 – SQL & Data Management

• Introduction to Databases & SQL Basics

• SELECT, WHERE, ORDER BY Clauses

• Aggregate Functions & Joins

• Mini Project: Database Querying for Analysis

🔹 Week 6 – Introduction to Machine Learning & Capstone

• Basics of Machine Learning Concepts

• Supervised vs Unsupervised Learning

• Mini Project: Simple ML Model on Sample Dataset

• Data Presentation & Insights Reporting

🎁Benefits

• 🎓 Certificate of Completion

• 💼 Hands-On Mini Projects & Portfolio Work

• 🛠️ Practical Skills in Python, Pandas, NumPy & Visualization

• 🚀 Preparation for Entry-Level Data Science Roles