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    Python & Machine Learning for Financial Analysis

    BY
    Udemy

    Brochure Enquire
    Mode

    Online

    Fees

    ₹ 499 3499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 499  ₹3,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Course Introduction, Success Tips and Key Learning Outcomes

    • Welcome Message
    • Introduction, Success Tips & Best Practices and Key Learning Outcomes
    • Course Outline and Key Learning Outcomes
    • Environment Setup & Course Materials Download
    • Google Colab Walkthrough
    • Python for Data Science Learning Path
    • Study Tips For Success

    **********Part #1: Python Programming Fundamentals***********

    • Introduction to Part #1: Python Programming Fundamentals

    Python 101: Variables Assignment, Math Operation, Precedence and Print/Get

    • Colab Notebooks - Variables Assignment, Math Ops, Precedence, and Print/Get
    • Variable assignment
    • Math operations
    • Precedence
    • Print operation
    • Get User Input

    Python 101: Data Types

    • Colab Notebooks - Data Types
    • Booleans
    • List
    • Dictionaries
    • Strings
    • Tuples
    • Sets

    Python 101: Comparison Operators, Logical Operators, and Conditional Statements

    • Colab Notebooks - Comparison Operators, Logical Operators and If Statements
    • Comparison operators
    • Logical operators
    • Conditional statements - Part #1
    • Conditional statements - Part #2

    Python 101: Loops

    • Colab Notebooks - For/While Loops, Range, List Comprehension
    • For loops
    • Range
    • While Loops
    • Break a loop
    • Nested loops
    • List comprehension

    Python 101: Functions

    • Colab Notebooks - Functions
    • Functions: built-in functions
    • Custom functions
    • Lambda expression
    • Map
    • Filter

    Python 101: Files Operations

    • Colab Notebooks - Files Operations
    • Reading & Writing Text Files
    • Reading & Writing CSV Files

    Python 101: Data Science Python Libraries for Data Analysis (Numpy)

    • Colab Notebooks - Numpy
    • Numpy basics
    • Built-in methods
    • Shape Length Type
    • Math operations
    • Slicing & indexing
    • Elements Selection

    Python 101: Data Science Python Libraries for Data Analysis (Pandas)

    • Colab Notebooks - Pandas
    • Pandas: Introduction to Pandas and DataFrames
    • Reading HTML data, and applying functions, and sorting
    • DataFrame operations
    • Pandas with functions
    • Ordering and Sorting
    • Merging/joining/concatenation

    Python 101: Data Visualization with Matplotlib

    • Colab Notebooks - Data Visualization with Matplotlib
    • Line Plot
    • Scatterplot
    • Pie Chart
    • Histograms
    • Multiple Plots
    • Subplots
    • 3D Plots
    • BoxPlot

    Python 101: Data Visualization with Seaborn

    • Colab Notebooks - Data Visualization with Seaborn
    • Data Visualization with Seaborn - Part #1
    • Data Visualization with Seaborn - Part #2

    ********* Part #2: Python For Financial Analysis*********

    • Introduction to Part #2: Python for Financial Analysis

    Stocks Data Analysis and Visualization in Python

    • Colab Notebooks - Stocks Data Analysis and Visualization in Python
    • Task 1
    • Task 2
    • Task 3
    • Task 4
    • Task 5
    • Task 6
    • Task 7
    • Task 8

    Asset Allocation and Statistical Data Analysis

    • Colab Notebooks - Asset Allocation and Statistical Data Analysis
    • Task 1
    • Task 2
    • Task 3
    • Task 4
    • Task 5
    • Task 6
    • Task 7
    • Task 8

    Capital Asset Pricing Model (CAPM)

    • Colab Notebooks - Capital Asset Pricing Model (CAPM)
    • Task 1
    • Task 2
    • Task 3
    • Task 4
    • Task 5
    • Task 6
    • Task 7

    ******* Part #3: Machine And Deep Learning In Finance *********

    • Introduction to Part #3: Machine and Deep Learning in Finance

    Predict Stocks Future Prices Using Machine and Deep Learning

    • Colab Notebooks - Predict Future Stock Prices Using Machine/Deep Learning
    • Task 1
    • Task 2
    • Task 3
    • Task 4
    • Task 5
    • Task 6
    • Task 7
    • Task 8
    • Task 9
    • Task 10
    • Task 11
    • Task 12

    Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques

    • Colab Notebooks - Perform Bank Customers Segmentation
    • Problem statement and business case
    • Import libraries and datasets
    • Visualize data
    • Understand K-means algorithm
    • Obtain optimal K
    • Apply K-means clustering
    • Principal component analysis
    • Intuition of autoencoders
    • Train autoencoder
    • Apply autoencoder

    Perform Sentiment Analysis On Stocks Data Using Natural Language Processing

    • Colab Notebooks - Perform Sentiment Analysis on Stocks Data
    • Task 1
    • Task 2
    • Task 3
    • Task 4
    • Task 5
    • Task 6
    • Task 7
    • Task 8
    • Task 9
    • Task 10

    Instructors

    Dr Ryan Ahmed
    Professor
    Udemy

    Other Masters, Ph.D, MBA

    Mr Mitchell Bouchard

    Mr Mitchell Bouchard
    Filmmaker
    Freelancer

    Other Bachelors

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