PROGRAMMING COURSES
We are a leader in providing a best quality of cyber security awareness training services to our clients.
Environment set-up
Jupyter overview
Python Numpy
Python Pandas
Python Matplotlib
- An introduction to R
- Data structures in R
- Data visualization with R
- Data analysis with R
- Important statistical concepts used in data science
- Difference between population and sample
- Types of variables
- Measures of central tendency
- Measures of variability
- Coefficient of variance
- Skewness and Kurtosis
- Normal distribution
- Test hypotheses
- Central limit theorem
- Confidence interval
- T-test
- Type I and II errors
- Student’s T distribution
- Regression
- ANOVA
- R square
- Correlation and causation
- Data visualization
- Missing value analysis
- Missing value analysis
- Outlier detection analysis
- Python Scikit tool
- Neural networks
- Support vector machine
- Logistic and linear regression
- Decision tree classifier
- Working with Tableau
- Deep diving with data and connection
- Creating charts
- Mapping data in Tableau
- Dashboards and stories
- ML on cloud platform
- ML on AWS
- ML on AWS
