This video on Python Data Analysis Projects will help you learn how to use real-world data and perform exploratory data analysis. You will analyze and visualize coronavirus and Olympics dataset with libraries such as NumPy, Pandas, Matplotlib and Seaborn. Data Analysis with Python project will give you the experience will tackle real world problems.
What is Python?
Python is a high-level object-oriented programming language developed by Guido van Rossum in 1989 and was first released in 1991. Python is often called a batteries included language due to its comprehensive standard library. A fun fact about Python is that The name Python was actually taken from the popular BBC comedy show of that time, "Monty Python's Flying Circus". Python is widely used these days from data analytics, machine learning, and web development. Python allows you to write programs in fewer lines of code than most of the programming languages.
Following are the standard or built-in data type of Python:
1. Numeric data types
2. Text data type
3. Sequence data type
4. Mapping data type
5. Set data type
6. Boolean data type
7. Binary data type
A programming language needs to have support for numbers to carry out calculations. In Python, the numbers are categorized into different data-types and the types are implemented in Python as classes.
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This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
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- Post Graduate Program certificate and Alumni Association membership
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- Master Classes delivered by Purdue faculty and IBM experts
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✅ Skills Covered
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- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
