- 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
Quick Facts
particular | details | |||
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Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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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
**********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
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