What you will learn in Data Science Fundamentals with Python and SQL Specialization Course
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Gain foundational knowledge in data science using Python and SQL.
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Learn data wrangling, manipulation, and analysis techniques.
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Develop skills in writing SQL queries to extract and process data.
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Understand data visualization and storytelling using Matplotlib and Seaborn.
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Apply machine learning concepts through real-world case studies.
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Complete a capstone project to showcase data science proficiency.
Program Overview
Introduction to Data Science & Python Basics
⏱️4-6 weeks
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Learn Python programming for data science applications.
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Understand data types, functions, and libraries like NumPy and Pandas.
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Explore data wrangling and preprocessing techniques.
SQL for Data Science
⏱️6-8 weeks
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Master SQL queries, joins, and database management.
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Extract insights from structured datasets using SQL.
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Work on real-world SQL-based data projects.
Data Visualization & Exploratory Analysis
⏱️ 8-10 weeks
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Use Matplotlib and Seaborn for data visualization.
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Perform exploratory data analysis (EDA) to uncover trends and patterns.
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Develop interactive dashboards and reports.
Machine Learning Foundations
⏱️ 10-12 weeks
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Understand basic machine learning algorithms.
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Apply regression, classification, and clustering techniques.
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Work on practical ML projects using Python.
Capstone Project: Real-World Data Science Challenge
⏱️ 12-14 weeks
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Implement Python and SQL skills in a full-scale project.
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Solve data-driven problems for business applications.
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Present findings using data storytelling techniques.
Get certificate
Job Outlook
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Data science is one of the fastest-growing fields, with a 35% job growth rate by 2030.
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Entry-level data professionals earn $70K – $100K per year, while experienced data scientists make $120K+.
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Employers look for skills in Python, SQL, data analysis, and machine learning.
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Career paths include Data Analyst, Data Scientist, Machine Learning Engineer, and BI Analyst.
Explore More Learning Paths
Strengthen your data science foundation with these curated programs designed to help you master Python, SQL, and analytical methodologies for real-world problem solving.
Related Courses
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Foundations of Data Science Course – Build a strong understanding of data science principles, including data collection, cleaning, and basic analysis.
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Data Science Methodology Course – Learn structured approaches to solving data-driven problems, designing experiments, and applying analytical frameworks.
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Tools for Data Science Course – Gain practical skills using Python, SQL, and essential data science tools for cleaning, visualizing, and analyzing data effectively.
Related Reading
Gain insight into the importance of structured data practices for analytical success:
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What Is Data Management? – Understand how organizing, storing, and maintaining data properly is critical for accurate analysis and actionable insights.
