Python Data Analytics Instructor

We are looking for someone who are passionate to build courses for students on Practical Data Analytics.

An ideal candidate should have experiences in teaching these topics in any education institution, bootcamps or coding school.

The deliverable of this project would include:
1. Notes and Slides
2. Video Recording
3. Practice Assignments with suggested solutions and guidelines
4. Projects with suggested solutions with suggested solutions and guidelines

The course should cover the topics below:
1. Math and Statistics Foundations
- Probability
- Descriptive statistics
- Confidence interval, hypothese testing
- scientific method
- Distributions

2. Introductions to Data Analytics
- Data Analytics Process
- Hands-on project and exercises with SQL and BigQuery
- Data Cleaning (normalization, cleaning and standardizing)
- Feature Generation
- Visualization

3. Feature Engineering (with pandas and numpy)
- Removing Data (missing values, outliers, dimensionality reduction)
- Transforming Data (Numerical Encoding, Categorical Encoding, Bagging, Hashing)
- Enhancing Data (Creating new features)
- Validating data (data quality)

4. Data Analysis
- Linear Regression
- Logistic Regression
- Visualizations (matplotlib and seaborn)