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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451 learners
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
4 hours of video
Certificate of completion
Access on mobile and TV
Course content
1 modules
• 16 lessons
• 4 hours of video
Become a Data Science Expert in 30 Days
16 lessons
• 4 hours
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What is Data Science? | Day 1 | Data Science Full Course | Data Science in 30 Days | The Data Key10:06
Python Basics for Data Science | Day 2 | Data Science Full Course | Data Science in 30 Days | #ds16:46
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 Days11:46
Data Visualization in Python using Matplotlib and Seaborn | Day 5 | Data Science in 30 Days #python21:02
Exploratory Data Analysis (EDA) Titanic Dataset | Day 6/30 of Data Science in 30 Days | #fullcourse14:56
Statistics for Data Science | Day 7/30 of Data Science in 30 Days | Data Science Course #statistics25:58
Probability in Data Science | Day 8/30 of Data Science in 30 Days | Days Science Course #fullcourse12:34
Linear Algebra for Machine Learning | Day 9/30 of Data Science in 30 Days | Data Science Course #ml20:47
Calculus for Data Science | Day 10/30 of Data Science in 30 Days | Data Science Full Course #foryou14:19
Machine Learning Basics | Day 11/30 of Data Science in 30 Days | Data Science Full Course | #ml14:33
Supervised Learning – Regression Models | Day 12/30 of Data Science in 30 Days | Full Course | #ml10:40
Model Selection & Evaluation | Day 13/30 of Data Science in 30 Days | Data Science Course | #ml #ai16:38
Unsupervised Learning: Clustering Techniques | K-Means, DBSCAN| Day 14/30 of Data Science in 30 Days23:05
Dimensionality Reduction: PCA & t-SNE Explained with Python | Day 15 | Data Science in 30 Days #data10:28
Feature Engineering in Data Science | Day 16/30 of Data Science in 30 Days | Data Preprocessing #ml10:44
