Data Science with Python Course Content
Offered Courses
- Data Science with R
- Data Science with Python
- Introduction to the PandasThe Data Science: An Overview
- Introduction to the Data Science
- Different Sectors Using Data Science
- The Purpose and Components of Python
Data Analytics Overview
- The Data Analytics Process
- Exploratory the Data Analysis (EDA)
- EDA-Quantitative Technique
- EDA – Graphical Technique
- The Data Analytics Conclusion or Predictions
- The Data Analytics Communication
- The Data Types for Plotting
Statistical Analysis and Business Applications
- Introduction to the Statistics
- About Statistical and Non-statistical Analysis
- The Major Categories of Statistics
- About the Statistical Analysis Considerations
- The Population and Sample
- What is the Statistical Analysis Process?
- The Data Distribution
- Dispersion
Python Environment Setup and Essentials
- About the Anaconda
- The Installation of Anaconda Python Distribution
- Data Types in the Python
- Basic Operators and Functions
What is Mathematical Computing with Python (NumPy)?
- An Introduction to the Numpy
- The Activity-Sequence it Right
- Class and Attributes of ndarray
- All About the Basic Operations
- Activity-Slice It
- Copy and Views
- About the Mathematical Functions of Numpy
The Scientific computing with Python (Scipy)
- Introduction to the SciPy
- About the SciPy Sub Package – Integration and Optimization
- What is SciPy sub package?
- Know About the SciPy Sub Package – Statistics, Weave and IO
The Data Manipulation with Pandas
- Understanding DataFrame
- The Missing Values
- The Data Operations