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Python with Data Science Free Course with Certification
About the Course:
Learn to use powerful, open-source, Python tools, including Numpy, Pandas and Matplotlib, to manipulate, analyze, and visualize complex datasets.
What to Expect in this Course?
The course will cover begineer to advance level python to data science and some facts written below:
- Basic process of data science.
- Python and Jupyter notebooks.
- An applied understanding of how to manipulate and analyze uncurated datasets.
- Basic statistical analysis and machine learning methods.
- How to effectively visualize results.
Pre-Requisities: Python
Course Content:
Python:
- Python Basic Syntax
- Python Variable Types
- Python Operators
- Python Decision Making
- Python Loops
- Python Numbers
- Python String
- Python Lists
- Python Tuple
- Python Dictionary
- Python Set
- Python Function
- Python Module
- Python File Handling
- Python Exception Handling
Numpy:
- Introduction to NumPy
- Create an Array
- NumPy Data Types
- Inspect NumPy Array
- NumPy Random Array
- NumPy Math Functions
- Slicing and Indexing
- Sorting of an Array
- Numpy Array Manipulation
- Combine & Split an Array
- Set Operations
- Linear Algebra
- Indian Suicide Case Study
Pandas:
- Introduction to Pandas
- Series Data Structure
- Pandas DataFrame
- Indexing-Selection-Filtering in Pandas
- Descriptive Statistics for Pandas DataFrame
- Pandas String Operations
- Sort Series and DataFrame
- Reading and Writing data in Pandas
- JSON and Quandl API Data
- Missing Data
- Data Transformation
- Hierarchical Indexing
- Combining and Merging in Pandas
- Groupby Pandas
- Pivot Tables
- Data Visualization
Matplotlib:
- Introduction to Matplotlib
- Line Plot
- Bar Plot
- Pie Plot
- Scatter Plot
- Stack/Area Plot
- Histogram
- Subplot
- Real Stock Data
