Getting Started

Python Intermediate

Statistics

Statistics Cont…

Data Exploration

Data Exploration Cont…

Data Visualization

1. Statistical Data Visualization using Seaborn & Matplotlib 2. Line plot 3. Countplot 4. Bar chart 5. Pairplot 6. Scatter plot 7. Histogram 8. Boxplot 9. Heatmap 10. Various other plotting techniques

Live Project

Data Analysis project

SQL

PowerBI

PowerQuery

Power BI Service

Machine Learning

Flask

Regression

Classification

Clustering

1. What is Statistics ?
2. Why we need Statistics ?
3. Types of data analytics
4. Variables
5. Types of Variables
6. Population vs Sample
7. Mean, Median ,Mode
8. Range
9. Quartiles and Percentiles
10. Interquartile Range
11. Variance
12. Standard Deviation

Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
  • Attributes
  • Custom attributes
  • Custom fields
Click outside to hide the compare bar
Compare
Wishlist 0
Open wishlist page Continue shopping