Python for Data Science and Machine Learning for Beginners

Did you know that if you choose to become a data scientist, you can earn around $120,000 or more in the United States? Well, we can help you reach this exclusive goal with our Python for data science and machine learning for beginners course.

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Course curriculum

1. Installing Anaconda on Windows
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2. Installing Anaconda on MacOs
3. Installing Librairies in Python
4. Jupyter Notebooks and Spyder
1. Basics Python
2. Loops in Python
3. Functions and variables in Python
4. Modules in Python
1. Basics of NumPy
2. NumPy functions
3. NumPy Array manipulations
4. NumPy Array reshaping and concatenation
5. More Operations in NumPy Array
1. Introduction to Pandas
2. Pandas Series
3. Pandas Data Frame (Part 1)
4. Pandas Data Frame (Part 2)
5. Dealing with missing values using Pandas
1. Introduction to matplotlib
2. Drawing and saving figures
3. Matplotlib Subplots
4. Parameter tuning for better visualization
5. Scatter plots and Histograms
1. Basic statistical operations
2. Exploratory analysis
3. Chi square test in Python
4. Analysis of Variances (ANOVA)
5. Sampling
1. How Linear Regression works
2. Linear Regression in Python
3. How Naive Bayes work
4. Naive Bayes with Python
5. How KNN works
6. KNN in Python
7. How Logistic Regression works
8. Logistic Regression in Python
9. Decision Trees in Python
10. How Decision trees works
11. How Random Forest works
12. Random Forest in Python
13. How K-means clustering works
14. K-means clustering in Python
15. How SVM works
16. SVM in Python
17. How Neural Networks works
18. Neural Networks in Python
1. 10.3. Feature selection and Label encoding
2. 10.1. Dealing with outliers
3. 10.4. Hyperparameter tuning
4. 10.2. Dealing with missing values

About this course

$199.99
53 lessons
4.5 hours of video content

Python for Data Science and Machine Learning for Beginners

Course curriculum

Welcome to the course!

Installation of Python and Data Science Librairies

Introduction to Python for Data Science

NumPy Fundamentals

Pandas Fundamentals

Matplotlib Fundamentals

Introduction to Statistics

Machine Learning Models Theory and Applications

Best Practices for Data Scientist

About this course