Python for Data Analysis

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$53 $80

About Course

This comprehensive course introduces you to the world of data analysis using Python. Discover why Python has become a leading language in this field, with its strong community support, rich library ecosystem, ease of use, and interoperability. Whether you're a student, data analyst, scientist, or business professional, this course equips you with the skills to leverage libraries like NumPy, Pandas, Matplotlib, Plotly and Seaborn. From data cleaning and visualization to communicating insights, this course empowers you to excel in data analysis.
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What will I learn?

  • Learn core Python syntax, coding, and execution.
  • Define variables and work with diverse data types.
  • Perform operations on data using assignments.
  • Take user input and create meaningful outputs.
  • Explore arithmetic, comparison, and logical operators.
  • Use conditional statements for decision-making.
  • Define, call functions, and grasp their parameters.
  • Master lists, dictionaries, and tuples for data storage.
  • Utilize loops for iteration, with control statements.
  • Learn Pandas, NumPy for data manipulation.
  • Create plots charts and beautiful visuals using Matplotlib, Seaborn, and Plotly.
  • Apply Python for large data analysis and decision-making.

Course Curriculum

Introduction to Python

Variables and Data Types

Input Function and String Concatenation

Python Operators

Conditional Statements

Functions

Lists

Dictionary and Tuples

Loops

Anaconda Installation and Numpy

Pandas

Pandas Exercise

Matplotlib

Seaborn

Seaborn exercise

Plotting with Pandas

Plotly Express

CAPSTONE PROJECT

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