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
CLICK HERE TO GET DETAILS ABOUT THIS COURSE : CLICK HERE
FOLLOW MY SOCIAL MEDIA CHANNELS, TELEGRAM CHANNEL, AND WHATSAPP GROUP FOR THE LATEST UPDATES ON FREE COURSES, CERTIFICATIONS, SCHOLARSHIPS, INTERNSHIPS, AND JOBS
