Data Analyst With Advance Excel
1. Introduction to Statistical Analysis
- Counting, Probability, and Probability Distributions
- Sampling Distributions
- Estimation and Hypothesis Testing
- Scatter Diagram
- Anova and Chi-square
- Imputation Techniques
- Data Cleaning
- Correlation and Regression
2. Introduction to Data Analytics
- Data Analytics Overview
- Importance of Data Analytics
- Types of Data Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Benefits of Data Analytics
- Data Visualization for Decision Making
- Data Types, Measure Of central tendency, Measures of Dispersion
- Graphical Techniques, Skewness & Kurtosis, Box Plot
- Descriptive Stats
- Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval
3. Tools used for analysis
- Python
- Excel
- Tableau
The curriculum is empty
