Python for Data Science

Learn to use powerful, open-source, Python tools, including Numpy, Pandas and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Advanced 1(2 Ratings) 143 Students enrolled English
Created by Karan Arora
Last updated Tue, 06-Jun-2023
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Course overview
  • 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

What will i learn?

Requirements
  • python
Curriculum for this course
53 Lessons 00:00:00 Hours
Python
15 Lessons 00:00:00 Hours
  • Python Basic Syntax
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  • Python Variable Types
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  • Python Operators
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  • Python Decision Making
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  • Python Loops
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  • Python Numbers
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  • Python String
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  • Python Lists
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  • Python Tuple
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  • Python Dictionary
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  • Python Set
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  • Python Function
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  • Python Module
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  • Python File Handling
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  • Python Exception Handling
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Numpy
13 Lessons 00:00:00 Hours
  • Introduction to NumPy
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  • Create an Array
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  • NumPy Data Types
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  • Inspect NumPy Array
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  • NumPy Random Array
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  • NumPy Math Functions
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  • Slicing and Indexing
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  • Sorting of an Array
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  • Numpy Array Manipulation
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  • Combine & Split an Array
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  • Set Operations
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  • Linear Algebra
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  • Indian Suicide Case Study
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Pandas
16 Lessons 00:00:00 Hours
  • Introduction to Pandas
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  • Series Data Structure
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  • Pandas DataFrame
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  • Indexing-Selection-Filtering in Pandas
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  • Descriptive Statistics for Pandas DataFrame
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  • Pandas String Operations
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  • Sort Series and DataFrame
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  • Reading and Writing data in Pandas
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  • JSON and Quandl API Data
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  • Missing Data
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  • Data Transformation
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  • Hierarchical Indexing
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  • Combining and Merging in Pandas
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  • Groupby Pandas
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  • Pivot Tables
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  • Data Visualization
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Matplotlib
9 Lessons 00:00:00 Hours
  • Introduction to Matplotlib
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  • Line Plot
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  • Bar Plot
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  • Pie Plot
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  • Scatter Plot
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  • Stack/Area Plot
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  • Histogram
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  • Subplot
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  • Real Stock Data
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About instructor

Karan Arora

26 Reviews | 1498 Students | 43 Courses
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