Python for Financial Analysis

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About Course

Uncover the compelling reasons behind Python's prominence in this domain: a thriving community, a vast library ecosystem, user-friendly nature, and seamless interoperability. Whether you're a student, data analyst, financial expert, data scientist, or business professional, this course furnishes you with the adeptness to harness the potential of key libraries like NumPy, Pandas, Matplotlib, Plotly, and Seaborn. From refining financial data and crafting visual narratives to effectively communicating insights, this course empowers you to not only navigate data intricacies but also excel in the realm of financial 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 financial 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

Financial Theory

CAPSTONE PROJECT

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