Data Science Free Tutorials

Data Science is at the forefront of technological innovation. This Skill Tree provides a comprehensive, beginner-friendly journey into the world of data analysis and interpretation. Following a well-structured roadmap, you'll learn essential concepts and tools through hands-on, non-video courses. Practical exercises in the interactive playground will solidify your skills in statistical analysis, machine learning, and data visualization.

Index	Name	Difficulty	Tutorial Link
01	📖 Your First Python Lab	★☆☆	🔗 View
02	📖 Data Types and Conversion	★☆☆	🔗 View
03	📖 Python Code Comments	★☆☆	🔗 View
04	📖 Python Math and Augmented Assignment	★☆☆	🔗 View
05	📖 Conditional Statements in Python	★☆☆	🔗 View
06	📖 Python Data Structures Fundamentals	★☆☆	🔗 View
07	📖 Variable Type Conversion	★☆☆	🔗 View
08	📖 Exploring IPython's Interactive Computing Features	★☆☆	🔗 View
09	📖 Installation and Basic Configuration of MySQL	★☆☆	🔗 View
10	📖 Database Management Fundamentals	★☆☆	🔗 View
11	📖 SQL's SELECT Statement	★☆☆	🔗 View
12	📖 Modify and Delete	★☆☆	🔗 View
13	📖 Other Basic Operations	★☆☆	🔗 View
14	📖 Your First NumPy Lab	★☆☆	🔗 View
15	📖 Array Attributes and Dtype	★☆☆	🔗 View
16	📖 NumPy Arrays and Data Types	★☆☆	🔗 View
17	📖 NumPy Array Operations	★☆☆	🔗 View
18	📖 NumPy Slicing and Indexing	★☆☆	🔗 View
19	📖 Efficient NumPy Array Multiplication Operations	★☆☆	🔗 View
20	📖 NumPy Shape Manipulation	★☆☆	🔗 View
21	📖 NumPy File IO	★☆☆	🔗 View
22	📖 NumPy Advanced Topics	★☆☆	🔗 View
23	📖 Your First Pandas Lab	★☆☆	🔗 View
24	📖 Working with Pandas	★☆☆	🔗 View
25	📖 Pandas Data Manipulation	★☆☆	🔗 View
26	📖 Data Selection in Pandas	★☆☆	🔗 View
27	📖 Pandas Plotting for Air Quality Analysis	★☆☆	🔗 View
28	📖 Working with Columns in Pandas	★☆☆	🔗 View
29	📖 Titanic Passenger Data Analysis with Pandas	★☆☆	🔗 View
30	📖 Reshaping Data with Pandas	★☆☆	🔗 View
31	📖 Combining Data Tables in Pandas	★☆☆	🔗 View
32	📖 Handling Time Series Data	★☆☆	🔗 View
33	📖 Pandas Textual Data	★☆☆	🔗 View
34	📖 Your First Matplotlib Lab	★☆☆	🔗 View
35	📖 Create a Line Plot with Matplotlib	★☆☆	🔗 View
36	📖 Matplotlib Pyplot Interface Tutorial	★☆☆	🔗 View
37	📖 Image Plotting with Matplotlib	★☆☆	🔗 View
38	📖 The Lifecycle of a Plot	★☆☆	🔗 View
39	📖 Customizing Matplotlib Visualizations	★☆☆	🔗 View
40	📖 Linear Models in Scikit-Learn	★☆☆	🔗 View
41	📖 Discriminant Analysis Classifiers Explained	★☆☆	🔗 View
42	📖 Exploring Scikit-Learn Datasets and Estimators	★☆☆	🔗 View
43	📖 Kernel Ridge Regression	★☆☆	🔗 View
44	📖 Supervised Learning with Scikit-Learn	★☆☆	🔗 View
45	📖 Model Selection: Choosing Estimators and Their Parameters	★☆☆	🔗 View
46	📖 Supervised Learning with Support Vectors	★☆☆	🔗 View
47	📖 Exploring Scikit-Learn SGD Classifiers	★☆☆	🔗 View
48	📖 Unsupervised Learning: Seeking Representations of the Data	★☆☆	🔗 View
49	📖 Implementing Stochastic Gradient Descent	★☆☆	🔗 View
50	📖 Working with Text Data	★☆☆	🔗 View
51	📖 Gaussian Process Regression and Classification	★☆☆	🔗 View
52	📖 Dimensional Reduction with PLS Algorithms	★☆☆	🔗 View
53	📖 Naive Bayes Example	★☆☆	🔗 View
54	📖 Decision Tree Classification with Scikit-Learn	★☆☆	🔗 View

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