Data Science and Analytics with AI (Cohort-03)

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Course Content

Introductory Class

  • Data Science and AI (Batch-03) Introductory Class
    02:07:07

Class 01 – Python Fundamentals: Data Types – Integers & Floats for numerical operations | Strings & Formatted Strings for text handling and output formatting

Class 02 – Python Fundamentals: Collections & Conditionals – Lists, Tuples, Dictionaries, and Sets for data handling | Booleans and if-elif-else statements for logic control

Class 03 – Python Fundamentals – Loops & Functions | For and While Loops for Iteration | User-Defined Functions for Reusability | Lambda Functions for Concise Operations

Class 04 – Python Fundamentals: Advanced Programming | Mini Projects | UDF, Loops & Conditionals | Introduction to Python Libraries | NumPy Deep Dive:Funtions and Arrays (1D/2D/3D), Slicing & Indexing

Class 05 – Python Libraries: Data Visualization & Analysis | Matplotlib for Advanced Visualizations | Pandas Deep Dive with Built-in Functions | Exploratory Data Analysis Project Implementation

Class 06 – Python Real-World Applications | QR Code Generator App | Dynamic Email Sender for Multiple Recipients | PDF Text & Image Extraction | Audio Transcription & Translation using Whisper & Google Translator | Freelancing Opportunities Discussion

Class 07 – Library Functions Practice | NumPy: Advanced Array Creation Functions & I/O Operations | Pandas: Series & DataFrames Deep Dive | Data Selection, Manipulation & Aggregation | Combining DataFrames & Data Cleansing | HTML Data Import

Class 08 – Library Functions Practice | Matplotlib: Bar, Line, Scatter Plots, Histograms, Box & Violin Plots | Seaborn: Categorical, Relational & Distributional Plots | Advanced Plotting Techniques

Class 09 –

Class 10 –

Project – 365 Men’s Clothing