What you'll learn:
- Python for Data Science and Data Analysis
- Complete Understanding of Python from Scratch
- NumPy for Numerical Data
- NumPy Array, NumPy Operations
- Pandas for Data Analysis
- DataFrames, Pandas Series, Pandas Matrix
- Working on Missing Data, Reading and Writing Files
- Matplotlib for Data Visualization
- Seaborn for statistical visualization
- Plotly for Collaborative, web-based graphing and analytics
- Data Visualization with Pandas
Hello Data Scientist,
Welcome to this course, on Python Programming !
In this course we will learn,
1)Complete understanding of Python from Scratch
2)Python for Data Science, Data Analysis and Visualization
It is the Most Comprehensive and Straight-Forward Course to build a solid foundation for Data Science and Data Analysis
List of the Topics that you will learn,
1) Python Crash Course:
Part 1: Data Types
Part 2: Python Statements
Part 3: Functions
Part 4: Object Oriented Programming (OOP)
2) Data Analysis with numPy :
NumPy array, Indexing and Selection, NumPy Operations
3) Data Analysis with pandas :
DataFrames, Series, Matrix, Working on missing data, Reading and Writing files
4) Data Visualization with matplotlib :
Amazing visualization library in Python for 2D plots of arrays
Learn Python Programming to advance your Career and increase your knowledge in a fun and practical way !!!
List of the Topics that you will learn,
1) Python Crash Course:
Part 1: Data Types
Part 2: Python Statements
Part 3: Functions
Part 4: Object Oriented Programming (OOP)
2) Data Analysis with numPy :
NumPy array, Indexing and Selection, NumPy Operations
3) Data Analysis with pandas :
DataFrames, Series, Matrix, Working on missing data, Reading and Writing files
4) Data Visualization with matplotlib :
Amazing visualization library in Python for 2D plots of arrays
Learn Python Programming to advance your Career and increase your knowledge in a fun and practical way !!!
Regards,
Vijay Gadhave
