DATA SCIENCE WITH PYTHON VATALIYA COMPUTER CLASSES IN VADODARA GUJARART
Data Science
Master in Data Science with Python
Python is one of the most trendy computer languages today. Python is most powerful language.
Different Areas where python is used?
.Web Development
. Games
. Graphics
. Financial
. Science
. Electronic Design Automation
. Software Development
. Education
. Business Software
.Government.
Python is a high-level programming language. It is an Open source and community driven

- DataScience with Python
- What is Data Science?
- Definition of Data Science
- Introduction
- Features
- Where Data Science is used?
- Libraries
- Installing and Importing library
- Using libraries
- Introduction to Library
- Creating Array
- Dtype
- Multidimensional Array
- Array Attributes
- Function of Array
- Pandas
- Introduction to Library
- Data Manupulation
- Creating Frames
- Export Data to CSV
- Read from File
- Openpyxl
- Accessing Data
- Looping with Excel
- Copying the Content
- Charts in Openpyxl
- Matplotlib
- Introduction to Matplotlib
- Uses of Library
- Sensex data Visualization
- Line Plots
- Scatter Plots
- Histograms
- Statistical Analysis: Understanding statistics is fundamental for interpreting data correctly. Machine Learning: Learn algorithms and techniques for predictive modeling, classification, and clustering.
- Data Visualization: Use libraries like Matplotlib and Seaborn to create meaningful visual representations of data.
- Big Data Technologies: Familiarize yourself with tools like Hadoop and Spark, which can handle large datasets.
- Data Wrangling: Master libraries such as Pandas to clean and preprocess data.
- Database Management: Gain skills in SQL and NoSQL databases for data storage and retrieve
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