Module 1: Course Introduction 1. Course Introduction Free Preview 2. Learning Objectives 3. Install Anaconda Free Preview 4. Jupyter Notebook Overview Free Preview 5. Downloadable FilesModule 2: Basic Python Concepts 1. Declare and Print Variables 2. Name and Reassign a Variable 3. Basic Data Types 4. Convert and Combine Different Types of Data 5. Math Operators 6. Comparison Operators 7. Logical Operators 8. Built-In Functions 9. Basic Python Concepts ExerciseModule 3: Conditions, Iterations, and Custom Functions 1. If Statement 2. Else and Elif Statement 3. Lists 4. List Index and Len 5. Change, Add, Remove, and Sort List Items 6. Tuples, Sets 7. Dictionaries 8. For Loops and While Loops 9. Define a Function Free Preview 10. Conditions, Iterations, and Custom Functions ExerciseModule 4: NumPy 1. Importing Packages 2. NumPy Array 3. Show Information in a NumPy Array 4. Range of Arrays 5. Conditional Selection in a NumPy Array 6. Randomization 7. NumPy ExerciseModule 5: Pandas 1. Series 2. Look Up Data in a Series 3. DataFrame 4. Unique Values and Duplicates 5. Select, Add, and Remove a Column in a DataFrame 6. Select, Add, and Remove a Row in a DataFrame 7. Create a New Index in a DataFrame 8. Conditional Selection in a DataFrame 9. Summary Statistics in a DataFrame 10. Concatenation of DataFrames 11. Group Data 12. Pandas ExerciseModule 6: Matplotlib and Seaborn 1. Create a Plot 2. Label and Design a Plot 3. Scatter Plot 4. Scatter Plot Part 2 5. Distribution Plot 6. Bar Plot and Box Plot 7. Pairplots 8. Matplotlib and Seaborn ExerciseModule 7: Portfolio Optimization Case Study 1. Download Case Study Template 2. Import Packages and Stock Data 3. Create a Portfolio with the Selected Stocks 4. Dollar Values and Portfolio Growth 5. Daily Returns and Sharpe Ratio 6. Set Up for Portfolio Optimization 7. Prepare Variables for Portfolio Optimization 8. Calculate Portfolio Combinations 9. Find the Portfolio with the Highest Sharpe Ratio 10. Plot the Portfolio Combinations 11. Case Summary 12. Download the Completed Case StudyModule 8: Qualified Assessment 1. Qualified Assessment 2. Share Your Feedback 3. Course Completion

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Python is an essential tool to analyze financial and business data. It is used in financial analysis and by data scientists in machine-learning and other fields.

Learn "Python Fundamentals" "Certification" by "Corporate Finance Institute (CFI)" and upskill your career by acquiring skills like Pandas,Matplotlib,Numpy etc with Careervira.

Python Fundamentals

Python Fundamentals

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