Data Science in 30 Days | Data Science Full Course Free | #datascience #fullcourse
Unlock Data Science Mastery in 30 Days: From Basics to Advanced Techniques with The Data Key! Dive Deep into Python, Visualization, Machine Learning, and More. Transform Your Skills with Expert Guidance and Hands-On Learning. Join Now!
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What you'll learn
- Understand the fundamentals of data science and its application
- Learn Python basics and key libraries like NumPy and Pandas for data analysis
- Explore data visualization techniques using Matplotlib and Seaborn
- Gain knowledge in statistical, probability, and calculus concepts for data science
This course includes
- 5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 21 lessons • 5 hours of video
Become a Data Science Expert in 30 Days
21 lessons
• 5 hours
Become a Data Science Expert in 30 Days
21 lessons
• 5 hours
- What is Data Science? | Day 1 | Data Science Full Course | Data Science in 30 Days | The Data Key 10:07
- Python Basics for Data Science | Day 2 | Data Science Full Course | Data Science in 30 Days | #ds 16:47
- NumPy for Data Science | Day 3 | Data Science Full Course | Data Science in 30 Days | The Data Key | 15:13
- Pandas in Python Series for Data Science | Day 4 | Data Science Full Course| Data Science in 30 Days 11:47
- Data Visualization in Python using Matplotlib and Seaborn | Day 5 | Data Science in 30 Days #python 21:03
- Exploratory Data Analysis (EDA) Titanic Dataset | Day 6/30 of Data Science in 30 Days | #fullcourse 14:57
- Statistics for Data Science | Day 7/30 of Data Science in 30 Days | Data Science Course #statistics 25:59
- Probability in Data Science | Day 8/30 of Data Science in 30 Days | Days Science Course #fullcourse 12:35
- Linear Algebra for Machine Learning | Day 9/30 of Data Science in 30 Days | Data Science Course #ml 20:47
- Calculus for Data Science | Day 10/30 of Data Science in 30 Days | Data Science Full Course #foryou 14:20
- Machine Learning Basics | Day 11/30 of Data Science in 30 Days | Data Science Full Course | #ml 14:33
- Supervised Learning – Regression Models | Day 12/30 of Data Science in 30 Days | Full Course | #ml 10:41
- Model Selection & Evaluation | Day 13/30 of Data Science in 30 Days | Data Science Course | #ml #ai 16:38
- Unsupervised Learning: Clustering Techniques | K-Means, DBSCAN| Day 14/30 of Data Science in 30 Days 23:05
- Dimensionality Reduction: PCA & t-SNE Explained with Python | Day 15 | Data Science in 30 Days #data 10:29
- Feature Engineering in Data Science | Day 16/30 of Data Science in 30 Days | Data Preprocessing #ml 10:45
- Feature Selection in Data Science | Data Science in 30 Days | #datascience #foryou #shorts #ml #ai 00:30
- Feature Selection & Filter Methods | Day 17/30 Part 1 of Data Science in 30 Days| #datasciencecourse 13:12
- Feature Selection : Wrapper & Embedded Methods - RFE, Lasso & Random Forest | Day 17/30 Part-2 | 12:31
- Train-Test Split & Model Training Explained | Day 18/30 (Part 1) - Data Science in 30 Days| #course 12:58
- Model Evaluation Metrics Explained | Accuracy, Precision, Recall & F1 Score | Day 18 Part 2 #foryou 14:06
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