What you will learn
Gain foundational knowledge in data science using Python and SQL.
Learn data wrangling, manipulation, and analysis techniques.
Develop skills in writing SQL queries to extract and process data.
Understand data visualization and storytelling using Matplotlib and Seaborn.
Apply machine learning concepts through real-world case studies.
Complete a capstone project to showcase data science proficiency.
Program Overview
Introduction to Data Science & Python Basics
⏱️4-6 weeks
Learn Python programming for data science applications.
Understand data types, functions, and libraries like NumPy and Pandas.
Explore data wrangling and preprocessing techniques.
SQL for Data Science
⏱️6-8 weeks
Master SQL queries, joins, and database management.
Extract insights from structured datasets using SQL.
Work on real-world SQL-based data projects.
Data Visualization & Exploratory Analysis
⏱️ 8-10 weeks
Use Matplotlib and Seaborn for data visualization.
Perform exploratory data analysis (EDA) to uncover trends and patterns.
Develop interactive dashboards and reports.
Machine Learning Foundations
⏱️ 10-12 weeks
Understand basic machine learning algorithms.
Apply regression, classification, and clustering techniques.
Work on practical ML projects using Python.
Capstone Project: Real-World Data Science Challenge
⏱️ 12-14 weeks
Implement Python and SQL skills in a full-scale project.
Solve data-driven problems for business applications.
Present findings using data storytelling techniques.
Get certificate
Job Outlook
Data science is one of the fastest-growing fields, with a 35% job growth rate by 2030.
Entry-level data professionals earn $70K – $100K per year, while experienced data scientists make $120K+.
Employers look for skills in Python, SQL, data analysis, and machine learning.
Career paths include Data Analyst, Data Scientist, Machine Learning Engineer, and BI Analyst.
Specification: Data Science Fundamentals with Python and SQL Specialization
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