Data Science
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
Gangotri Complex, 121,
besides Bawarchi Hotel,
Narayan
Garden Rd, Gotri, Vadodara,
390021
+91 9726185104
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