Data Science
Build practical data science skills by learning how to collect, clean, analyze, visualize, and interpret data. This course covers Python, statistics, databases, data visualization, exploratory data analysis, and machine learning fundamentals. You will work with real-world datasets and learn how to transform raw data into meaningful insights for data-driven decision making.
| Responsible | Pawan Dubey |
|---|---|
| Last Update | 08/30/2026 |
| Completion Time | 18 hours 16 minutes |
| Members | 1 |
Advanced
data science
beginner
Intermediate
-
Statistics Fundamentals1Lessons · 4 min
-
StatQuest: Histograms, Clearly ExplainedNew
-
-
Python for Data Analytics1Lessons · 11 hr 10 min
-
Python for Data Analytics - Full Course for BeginnersNew
-
-
SQL for Data Analytics1Lessons · 4 hr 9 min
-
SQL for Data Analytics - Learn SQL in 4 HoursNew
-
-
Data Analyst Bootcamp1Lessons ·
-
2026 FREE Data Analyst Bootcamp [24 Hours+] for FREE | SQL, Excel, Python, Power BI, GitHub, AWSNew
-
-
Pandas / Scikit-learn1Lessons · 13 min
-
How do I use pandas with scikit-learn to create Kaggle submissions?New
-
-
Data Science Career1Lessons · 1 hr 16 min
-
Data Science Portfolio Project From Scratch | Building a YouTube Data Dashboard with StreamlitNew
-
-
Machine Learning Projects1Lessons · 39 min
-
Tutorial 3-End To End ML Project With Deployment-Project Problem Statement,EDA And Model TrainingNew
-
-
Kaggle / Data Science Projects1Lessons · 45 min
-
Economic Data Analysis Project with Python Pandas - Data scraping, cleaning and exploration!New
-